Entries |
Document | Title | Date |
20080212879 | METHOD AND APPARATUS FOR DETECTING AND PROCESSING SPECIFIC PATTERN FROM IMAGE - In an image within which a face pattern is detected, when a ratio of a skin color pixel is equal to or smaller than a first threshold value in a first region and a ratio of a skin color pixel is equal to or greater than a second threshold value in a second r region, the vicinity of the first region is determined to be a face candidate position at which the face pattern can exist. Face detection is carried out on the face candidate position. The second region is arranged in a predetermined position relative to the first region. | 09-04-2008 |
20080219560 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND IMAGE FORMING APPARATUS - Based on an area detection signal, a layer separation section outputs a text component of a document, to a feature point calculating section, and generates four layers from a pictorial component of the document to output the generated layers to the feature point calculating section. The feature point calculating section sums feature points extracted for each component. A features calculating section calculates a hash value based on the feature points. A vote processing section searches a hash table based on the hash value, and votes for a reference image associated with the hash value. Based on the voting result, a similarity determination processing section determines whether the document image is similar to any reference image, and then outputs the determination result. Thus, even if the document contains a photograph, accurate matching can be performed. | 09-11-2008 |
20080260256 | METHOD AND APPARATUS FOR ESTIMATING VANISH POINTS FROM AN IMAGE, COMPUTER PROGRAM AND STORAGE MEDIUM THEREOF - The present invention discloses a method and apparatus for estimating vanish points from an image, computer program and storage medium thereof. One of the method for detecting the vanishing points from an image according to the present invention comprising a dividing step for dividing the image into small patches; a first detecting step for detecting each patch's local orientations; a composing step for composing lines of pencils based on the local orientations detected in the first detecting step; and a first computing step for computing at least one vanishing point based on the lines of pencils composed in said composing step. On the basis of the vanishing points found by the present invention, the perspective rectification on a document image can be executed accurately and fastly. | 10-23-2008 |
20080260257 | SYSTEMS, METHODS, AND APPARATUS FOR AUTOMATIC IMAGE RECOGNITION - A method of improving the accuracy and computation time of automatic image recognition by the implementation of association graphs and a quantum processor. | 10-23-2008 |
20080285856 | Method for Automatic Detection and Classification of Objects and Patterns in Low Resolution Environments - The invention is a method of using Wavelet Transformation and Artificial Neural Network (ANN) systems for automatic detecting and classifying objects. To train the system in object recognition different images, which usually contain desired objects alongside other objects are used. These objects may appear at different angles. Different characteristics regarding the objects are extracted from the images and stored in a data bank. The system then determines the extent to which each inserted characteristic will be useful in future recognition and determines its relative weight. After the initial insertion of data, the operator tests the system with a set of new images, some of which contain the class objects and some of which contain similar and/or dissimilar objects of different classification. The system learns from the images containing similar objects of different classes as well as from the images containing the class objects, since each specific class characteristic needs to be set apart from other class characteristic. The system may be tested and trained again and again until the operator is satisfied with the system's success rate of object recognition and classification. | 11-20-2008 |
20080298685 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - In order to perform appropriate image correction considering the moving image region and static image region of image data forming a moving image, the image data forming the moving image is input in a unit of frame, the image data is divided into a moving image region and static image region, and a feature amount of the moving image region and that of the static image region are calculated. At least one table for image correction is generated based on the feature amount of the moving image region and that of the static image region, and the image data is corrected using the table. | 12-04-2008 |
20080304751 | IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS, IMAGE PROCESSING SYSTEM, AND IMAGE PROCESSING METHOD - There are provided: a pattern detection process section for extracting a partial image made of pixels including a target pixel from input image data; a rotated image generating section for generating a self-rotated image by rotating the partial image; and a matching test determination section for determining whether an image pattern included in the partial image matches an image pattern included in the self-rotated image. When it is determined that matching exists, a target pixel in the partial image or a block made of pixels including the target pixel is regarded as a feature point. Consequently, even when image data has been read while skewed with respect to a predetermined positioning angle of a reading position of an image reading apparatus or image data has been subjected to enlarging, reducing etc., a feature point properly specifying the image data can be extracted regardless of skew, enlarging, reducing etc. | 12-11-2008 |
20080310730 | IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS, IMAGE PROCESSING SYSTEM, AND IMAGE PROCESSING METHOD - There are provided: a pattern detection process section for extracting a partial image made of pixels including a target pixel from input image data; a displaced image generation section for generating a self-displaced image by displacing at least a part of the partial image through a predetermined method; and a matching test determination section for determining whether an image pattern included in the partial image matches an image pattern included in the self-displaced image or not. When the matching test determination section determines that the matching exists, a target pixel in the partial image or a block made of pixels including the target pixel is regarded as a feature point. Consequently, even when image data is subjected to a process such as enlarging and reducing, it is possible to extract a feature point that properly specifies the image data regardless of the enlarging/reducing process. | 12-18-2008 |
20080310731 | Methods and Apparatus for Providing a Scalable Identification of Digital Video Sequences - Scaleable video sequence processing with various filtering rules is applied to extract dominant features, and generate unique set of signatures based on video content. Video sequence structuring and subsequent video sequence characterization is performed by tracking statistical changes in the content of a succession of video frames and selecting suitable frames for further treatment by region based intra-frame segmentation and contour tracing and description. Compact representative signatures are generated on the video sequence structural level as well as on the selected video frame level, resulting in an efficient video database formation and search. | 12-18-2008 |
20080317353 | METHOD AND SYSTEM FOR SEARCHING IMAGES WITH FIGURES AND RECORDING MEDIUM STORING METADATA OF IMAGE - A method and a system for searching images with figures and a recording medium storing metadata of image are provided. The searching method is divided into an image analysis stage and an image search stage. In the image analysis stage, figures between images are compared with each other and assigned with an identity respectively. A representative image of each identity is then evaluated from the image collection. In the image search stage, the representative images are displayed for user to select some of them as a searching criterion, so as to search and display the images matching the searching criterion in the image collection. Accordingly, the images required by user can be found through intelligent analysis of figures, intuitive definition of searching criterion, and simple comparison of identities so that both time and effort of organization for searching images with figures can be substantially saved. | 12-25-2008 |
20080317354 | IMAGE SELECTION SUPPORT SYSTEM FOR SUPPORTING SELECTION OF WELL-PHOTOGRAPHED IMAGE FROM PLURAL IMAGES - A feature area extracting section extracts an area having a unique feature in an image input to an image selection support apparatus. A specific area feature collating and determining section determines whether or not the area having a feature and extracted by the feature area extracting section is a specific area. A specific area image reading section decides a rectangular area including the specific area, and reads image information of the rectangular area. The specific area image reading section has at least one of an enlargement displaying section which enlarges and displays the image information read by the specific area image reading section, a thumbnail display section which reduces and displays the input image, and an original image displaying section which enlarges and displays the input image. | 12-25-2008 |
20090003710 | Feature Extraction Apparatus, Feature Extraction Method, and Feature Extraction Program - To extract a feature advantageous for classification and correlation by using the information difficult to be acquired even when it is impossible to acquire the information difficult-to-be-acquired from all individuals. Sub-information input device inputs information difficult to be acquired and accumulates the inputted sub-information. Main information input device inputs information easy to be acquired as main information, and accumulates the inputted main information. Sub-information selection device evaluates a category attribution degree of each sub-information accumulated and selects the sub-information of a high category attribution degree. The correlation feature extraction device uses the sub-information selected by the sub-information selection device as the feature extraction filter, and extracts a feature corresponding to the main information from a correlation between the main information and the sub-information. | 01-01-2009 |
20090010545 | SYSTEM AND METHOD FOR IDENTIFYING FEATURE OF INTEREST IN HYPERSPECTRAL DATA - A system and method for identifying objects of interest in image data is provided. The present invention utilizes principles of Iterative Transformational Divergence in which objects in images, when subjected to special transformations, will exhibit radically different responses based on the physical chemical, or numerical properties of the object or its representation (such as images), combined with machine learning capabilities. Using the system and methods of the present invention, certain objects that appear indistinguishable from other objects to the eye or computer recognition systems, or are otherwise almost identical, generate radically different and statistically significant differences in the image describers (metrics) that can be easily measured. | 01-08-2009 |
20090016610 | Methods of Using Motion-Texture Analysis to Perform Activity Recognition and Detect Abnormal Patterns of Activities - Methods of using motion-texture analysis to perform video analytics are disclosed. One method includes selecting a plurality of frames from a video sequence, analyzing motion textures in the plurality of frames to identify a flow, extracting features from the flow, and characterizing the extracted features to perform activity recognition. Another method includes selecting a plurality of frames from a video sequence, analyzing motion textures in the plurality of frames to identify a flow, extracting first features from the flow, comparing the first features with second features extracted during a previous training phase, and based on the comparison, determining whether the first features indicate abnormal activity. Another method includes partitioning a given frame in a video sequence into a plurality of patches, forming a vector model for each patch by analyzing motion textures associated with that patch, and clustering patches having vector models that show a consistent pattern. | 01-15-2009 |
20090022402 | Image-resolution-improvement apparatus and method - Provided is an image-resolution-improvement apparatus and method which can increase the resolution of an input image at a high magnification to thereby obtain a high-quality final image. The apparatus includes a textured-region-detection unit to detect a texture region in an input image; and a final-image-generation unit to synthesize a first intermediate image and a second intermediate image, which are obtained by applying different interpolation techniques to the texture region and a non-texture region excluding the texture region and generating a final image. | 01-22-2009 |
20090022403 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - There is provided an image processing apparatus for processing a moving image including a plurality of moving-image-component images. The image processing apparatus includes a characteristic region detecting section that detects a characteristic region in one or more of the plurality of moving-image-component images, and a characteristic region identifying section that identifies a position of the characteristic region in a non-selected image with reference to a position of the characteristic region in a selected image. Here, the selected image is selected from the plurality of moving-image-component images of the moving image, and the non-selected image is a different one of the plurality of moving-image-component images than the selected image. The characteristic region identifying section identifies the position of the characteristic region in the non-selected image with reference to a position of the characteristic region in a selected image preceding the non-selected image and a position of the characteristic region in a selected image following the non-selected image. | 01-22-2009 |
20090022404 | Efficient detection of constant regions of a region - A technique that improves image analysis efficiency by reducing the number of computations needed to detect constant regions. Constant region detection according to the present techniques includes determining whether an image analysis window at a current position contains a constant region by analyzing a new line of pixels in the image analysis window if a pixel at a predetermined location in the image analysis window in the current position has a value equal to a pixel at the predetermined location from a previous position of the image analysis window. Analyzing only the new line of pixels saves the computational time that would otherwise go into analyzing all of the pixels in the image analysis window. | 01-22-2009 |
20090034848 | IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS, IMAGE PROCESSING SYSTEM, AND IMAGE PROCESSING METHOD - Line images in horizontal and vertical directions are detected from input image data, and an intersection of the line images is calculated. the calculated intersection is regarded as a feature point of input image data. Thus, it is possible to easily and promptly extract, from image data, a feature point that allows specifying the image data appropriately. | 02-05-2009 |
20090041357 | FACE IMAGE DETECTING DEVICE, FACE IMAGE DETECTING METHOD, AND FACE IMAGE DETECTING PROGRAM - An extraction-pattern storing unit stores therein information related to a plurality of different extraction patterns for extracting a predetermined number of pixels from pixels surrounding a pixel that is a target for detecting a face part image. A face-part-image detecting unit extracts a pixel using the different extraction patterns stored in the extraction-pattern storing unit, and detects the face part image included in an image using a feature amount of an extracted pixel. A face-image detecting unit detects a face image from the image based on the face part image detected by the face-part-image detecting unit. | 02-12-2009 |
20090041358 | Information storage apparatus and travel environment information recognition apparatus - An information storage apparatus recognizes a traffic sign on a road expressed by a road surface image, and stores recognized traffic sign in association with its position information in a hard disk drive. By recognizing and storing information on the traffic sign in combination with the position information for the sake of traffic safety, information coverage in terms of traffic safety is updated to the most up-to-date condition for roads in the entire country. | 02-12-2009 |
20090060344 | Image Processing Device, Image Processing Method, and Image Processing Program - An image processing device that executes deformation of an image includes a candidate area setting unit, an exclusion determination unit and a deformation processing unit. The candidate area setting unit sets candidate areas, each of which includes a specific image, on a target image used as a target for a deformation process. The exclusion determination unit, when there is an overlap between the candidate areas, excludes one or more candidate areas from the target for the deformation process so as to eliminate the overlap. The deformation processing unit performs deformation of the image on the candidate areas other than the excluded candidate areas. | 03-05-2009 |
20090060345 | RAPID, SPATIAL-DATA VIEWING AND MANIPULATING INCLUDING DATA PARTITION AND INDEXING - A high-density, distance-measuring laser system and an associated computer that processes the data collected by the laser system. The computer determines a data partition structure and stores that structure as a header file for the scan before data is collected. As the scan progresses, the computer collects data points until a predetermined threshold is met, at which point a block of data consisting of the data points up to the threshold is written to disk. The computer indexes each data block using all three coordinates of its constituent data points using, preferably, a flexible index, such as an R-tree. When a data block is completely filled, it is written to disk preferably with its index and, as a result, each data block is ready for access and manipulation virtually immediately after having been collected. Also, each data block can be independently manipulated and read from disk. | 03-05-2009 |
20090080777 | Methods and Apparatus for Filtering Video Packets for Large-Scale Video Stream Monitoring - A method of filtering video packets for video stream monitoring is provided. A video packet of a video stream is received. One or more features are extracted from a specified frame of the video packet via one or more histograms and frequency domain coefficients of the specified frame. One or more concept detectors are implemented on the one or more features creating one or more confidence values. The confidence values are transmitted to a display module for filtering of video packets. | 03-26-2009 |
20090080778 | PATTERN RECOGNITION METHOD AND APPARATUS FOR DATA PROTECTION - Provided a secure pattern recognition method. The method includes: receiving data and generating a probe by converting the received data into a template for pattern recognition; accessing a gallery that is a template registered and stored in advance; determining a region to which the probe belongs and obtaining the center point of the region; obtaining a hash value of the center point and coordinate of the probe; and determining whether or not the hash value of the center point and a hash value stored in the gallery are equal and determining whether or not the probe and the gallery are classified into the same class by calculating whether or not the coordinate of the probe is inside a decision boundary configured with thresholds on the basis of the coordinates of the center point. | 03-26-2009 |
20090087102 | METHOD AND APPARATUS FOR REGISTERING IMAGE IN TELEPHONE DIRECTORY OF PORTABLE TERMINAL - A method and an apparatus for registering an image in a telephone directory of a portable terminal are provided. The method includes identifying at least one face area in an image displayed on a screen, selecting a face area to be registered in the telephone directory from the at least one identified face area, generating a face area capture image from the selected image, and registering the face area capture image in the telephone directory. A user may thereby easily retrieve a telephone number of the registered person. | 04-02-2009 |
20090110289 | IMAGE PROCESSING OF APPARATUS CONDITION - In one embodiment, a method of continually monitoring and detecting in real-time a condition of an apparatus is detailed. In one step, an apparatus is continually monitored in real-time using continual real-time images of the apparatus taken by at least one camera. In another step, the continual real-time images of the apparatus from the at least one camera are communicated to at least one computer processing unit. In still another step, the continual real-time images of the apparatus are processed using at least one software program embedded in the at least one computer processing unit in order to monitor and detect in real-time a condition, of the apparatus. | 04-30-2009 |
20090110290 | IMAGE FORMING APPARATUS - An image forming apparatus has an image data reading section that reads image data formed on a document, an image processing section that separates regions where effective information is present from the read image data so as to determine, for every separated region, a shape of a see-through preventing pattern and a position at which the see-through preventing pattern is formed, and an image printing section that prints the determined see-through preventing pattern at a part on a back surface of a recording sheet on which the document is printed, on the basis of the information of the determined position at which the see-through preventing pattern is formed, the part corresponding to any of the regions where the effective information of the document is present. | 04-30-2009 |
20090110291 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A key region extraction unit ( | 04-30-2009 |
20090116747 | Artificial intelligence systems for identifying objects - A process for object identification comprising extracting object shape features and object color features from digital images of an initial object and storing the extracted object shape features and object color features in a database where said extracted object shape features and object color features are associated with a unique identifier associated with said object and repeating the first step for a plurality of different objects. Then extracting object shape features and object color features from a digital image of an object whose identity is being sought and correlating the extracted object shape features and object color features of the object whose identity is being sought with the extracted object shape features and object color features previously stored in the database. If a first correlation of the extracted object shape features is better than a first threshold value for a given object associated with an identifier in the database and if a second correlation of the extracted object color features is better than a second threshold value for the given object, then making a determination that the object whose identity is being sough is said given object. | 05-07-2009 |
20090116748 | INFERENTIAL SELF-REGISTRATION OF IMPERFECT OMR FORMS - Image data of a zone in a response form that has a plurality of response bubbles in the zone is processed. The image data of the zone has at least one response bubble that is well-formed and at least one response bubble that is not well-formed. Well-formed response bubbles are located in the zone from image data of the zone. The locations of the well-formed response bubbles in the zone are compared to a form template that defines the zone and contains data regarding locations of all expected response bubbles in the zone. It is determined from the comparison whether sufficient information exists to determine that the well-formed response bubbles constitute a specific part of the form template zone. If so, then the well-formed response bubbles are processed from the image data of the zone. | 05-07-2009 |
20090116749 | METHOD OF LOCATING FEATURES OF AN OBJECT - A method of locating features of an object, of a class of objects, of a class of objects, within a target image. The method comprises initialising a set of feature points within the target image, each feature point corresponding to a predetermined feature for objects of the class of objects; deriving a set of template detectors, from the set of feature points, using a statistical model of the class of objects, each template detector comprising an area of image located about the location of a feature point for an object of the class of objects; comparing the set of template detectors with the target image; and updating the set of feature points within the target image in response to the result of the comparison. | 05-07-2009 |
20090129680 | IMAGE PROCESSING APPARATUS AND METHOD THEREFOR - Replacement target image data and image data for replacement are stored, character images of the replacement target image data and character images of the image data for replacement are extracted, and character recognition is performed for each page on character strings contained in the extracted character images. Then, a comparison is performed for each page of the character strings of pages of the replacement target image data and the character strings of pages of the image data for replacement, which have undergone character recognition, and a degree of similarity therebetween is determined. Then, based on a determination result, at least a portion of pages of the replacement target image data is replaced with at least a portion of pages of the image data for replacement. | 05-21-2009 |
20090136137 | IMAGE PROCESSING APPARATUS AND METHOD THEREOF - The invention includes a reference oint setting unit configured to extract a plurality of reference points from an input image; a pattern extractor configured to extract a local pattern of the reference points; a characteristic set holder configured to hold a group of characteristic sets having both local patterns of the reference points extracted from a learned image and vectors from the reference points to characteristic points to be detected; a matching unit configured to compare the local patterns extracted from the reference points and the group of characteristic sets and select the nearest characteristic set as a characteristic set having the most similar pattern; and a characteristic point detector configured to detect a final position of the characteristic point based on a vector from the reference point to the characteristic point included in the selected nearest characteristic set. | 05-28-2009 |
20090141983 | IMAGE ENHANCEMENT SYSTEM AND METHOD USING AUTOMATIC EMOTION DETECTION - An image enhancement system and method using automatic emotion detection, the image enhancement system including: an emotional scale detection unit to analyze a pixel value of one or more frames of an input image in order to automatically detect an emotional scale of the input image; and an image enhancement unit to enhance a quality of the input image based on an image mode selected according to the emotional scale. | 06-04-2009 |
20090148049 | RECORDING MEDIUM FOR RECORDING LOGICAL STRUCTURE MODEL CREATION ASSISTANCE PROGRAM, LOGICAL STRUCTURE MODEL CREATION ASSISTANCE DEVICE AND LOGICAL STRUCTURE MODEL CREATION ASSISTANCE METHOD - A method for assisting in the creation of a logical structure model, which stores, from an image in which character strings associated respectively with a plurality of logical elements constituting a logical structure are described, the logical elements, character strings associated with the logical elements, and the logical structure, wherein character strings in an input image and the logical structure among the character strings in the input image are extracted, a logical element is selected among the plurality of logical elements according to the degrees of similarity between the extracted character strings and the character string associated respectively with the plurality of logical elements stored in the logical structure model, a character string associated with the selected logical element and a character string in the input image associated with the logical element based on the logical structure among the extracted character strings in the input image are extracted. | 06-11-2009 |
20090154811 | IMAGE PROCESSING APPARATUS AND COMPUTER READABLE MEDIUM - An image processing apparatus includes: a region extracting unit extracts a character region on an image; a character recognizing unit that recognizes characters in the character region extracted by the region extracting unit; a translating unit that translates a recognition result obtained by the character recognizing unit; and a changing unit that changes a constitution of the image with respect to the character region extracted by the region extracting unit according to a direction of the characters in the character region extracted by the region extracting unit, and according to a direction of the characters of the language translated by the translating unit. | 06-18-2009 |
20090161961 | Apparatus and method for trimming - Apparatuses and methods for processing a digital image are provided. More particularly, apparatuses and methods for trimming an image, whereby a composition of the image is located and trimmed from a displayed image, are provided. The apparatuses may include a digital signal processing unit which retrieves composition information similar to the composition information of a displayed image, and trims the image to obtain a trimmed image corresponding to an area of the image matching the retrieved composition information. | 06-25-2009 |
20090169109 | DEVICE AND PROCESS FOR RECOGNIZING AN OBJECT IN AN IMAGE - The present invention refers to a process and a device for recognizing one or more objects in an image composed by a plurality of pixels. The recognizing of an object in an image comprises at least three phases. In a first phase, a plurality of possible configurations of pixels different therebetween is pre-defined and to everyone of those at least one symbolic coding identifying and describing the features of the corresponding configuration of pixels is associated. In a second phase, the image is processed by means of processing to associate thereto a corresponding sequence of specific configurations detected among said plurality of configurations of pixels in an univocal way. Finally, in a third phase , the symbolic codings associated to the corresponding specific configurations of said sequence are interpreted automatically and correlated therebetween to allow to recognize said object. | 07-02-2009 |
20090175540 | Controlled human pose estimation from depth image streams - A system, method, and computer program product for estimating upper body human pose are described. According to one aspect, a plurality of anatomical features are detected in a depth image of the human actor. The method detects a head, neck, and torso (H-N-T) template in the depth image, and detects the features in the depth image based on the H-N-T template. An estimated pose of a human model is estimated based on the detected features and kinematic constraints of the human model. | 07-09-2009 |
20090196506 | SUBWINDOW SETTING METHOD FOR FACE DETECTOR - Disclosed herein is a subwindow setting method for a face detector for detecting whether one or more facial images exist in each of subwindows having a set size while sequentially setting the subwindows in the width direction of an input image. A scan interval between two neighboring subwindows under consideration in the width direction is determined based on the facial color density of a first subwindow of the two neighboring subwindows. Further, a scan interval between the first and second rows in a height direction of the input image is determined based on the facial color density of the subwindows included in the first row. | 08-06-2009 |
20090208112 | PATTERN RECOGNITION METHOD, AND STORAGE MEDIUM WHICH STORES PATTERN RECOGNITION PROGRAM - A pattern recognition method is applied to processing of causing an information processing apparatus to recognize a pattern in a plurality of steps. The information processing apparatus detects recognition candidates which can be recognition candidates of each step. The information processing apparatus expands the recognition candidates of the next step belonging to each detected recognition candidate of each step. The information processing apparatus calculates the evaluation value of each expanded recognition candidate based on an a posteriori probability on condition of all recognition processing results for a recognition candidate which has undergone recognition processing. The information processing apparatus selects recognition candidates based on the calculated evaluation value of each recognition candidate. The information processing apparatus determines a recognition result based on the selected recognition candidates. | 08-20-2009 |
20090232400 | IMAGE EVALUATION APPARATUS, METHOD, AND PROGRAM - An image evaluation apparatus including a face detection unit for detecting, from an image including at least one face, each of the at least one face; a characteristic information obtaining unit for obtaining a plurality of characteristic information representing characteristics of each face; an expression level calculation unit for calculating an expression level representing the level of a specific expression of each face; and an evaluation value calculation unit for calculating an expression-based evaluation value for the image based on the characteristic information and the expression level of each face. | 09-17-2009 |
20090238465 | APPARATUS AND METHOD FOR EXTRACTING FEATURES OF VIDEO, AND SYSTEM AND METHOD FOR IDENTIFYING VIDEOS USING SAME - An apparatus for extracting features from a video includes a frame rate converter for performing a frame rate conversion on the video to a preset frame rate, a gray scale converter for performing a grey scale conversion on the frame rate-converted video, a frame size normalizer for performing a frame size normalization on the gray scale-converted video to a preset image size, and a feature extractor for partitioning the normalized video into image blocks of a predetermined size, and extracting features from the image blocks on the basis of luminance values of the image blocks. A video identification system employs the feature extracting apparatus to identify an original video and an object video. | 09-24-2009 |
20090245648 | RIDGE DIRECTION EXTRACTING DEVICE, RIDGE DIRECTION EXTRACTING PROGRAM, AND RIDGE DIRECTION EXTRACTING METHOD - To extract the ridge directivities properly and precisely by suppressing a bad influence of noises having a periodicity. A ridge directivity is assumed along some direction codes set in advance, and the reliability indicating the probability of the assumed direction code being consistent with a valley is obtained for each direction code by a unit of pixel based on a difference between a density of a target pixel and densities of pixels neighboring to the target pixel in a direction orthogonal to the assumed direction code, and the direction having the maximum reliability is determined as the ridge directivity of the target pixel. | 10-01-2009 |
20090245649 | Method, Program and Apparatus for Detecting Object, Computer Readable Recording Medium Storing Object Detection Program, and Printing Apparatus - An object detection method for detecting a predetermined object image from a target image. A target image is contracted to generate a contracted image, and partitioned to generate a partitioned image. The predetermined object image is detected from the image using the image and a detection frame. The detection frame and the contracted image are used to detect the predetermined object image if the detection frame is equal to or larger than a predetermined size, and the detection frame and the partitioned image are used to detect the predetermined object image if the detection frame is smaller than the predetermined size. | 10-01-2009 |
20090245650 | Image Processing Device, Image Processing Method and Image Processing Program - An image processing device includes a face region extracting unit that extracts a face region of a person included in an image to be corrected. A correction region specifying unit specifies a region including the extracted face region as a reduction region and specifies a region excluding the reduction region as an enlargement region. A correction execution unit generates a correction image in which an image in the reduction region is reduced based on a predetermined reduction ratio and an image in the enlargement region is enlarged according to a ratio of the reduction region to the enlargement region. | 10-01-2009 |
20090257657 | METHOD AND DEVICE FOR PROCESSING AND PRESENTING MEDICAL IMAGES - The present invention relates to a method for processing and presenting at least a first image ( | 10-15-2009 |
20090263022 | Real-Time Face Tracking in a Digital Image Acquisition Device - An image processing apparatus for tracking faces in an image stream iteratively receives an acquired image from the image stream including one or more face regions. The acquired image is sub-sampled at a specified resolution to provide a sub-sampled image. An integral image is then calculated for a least a portion of the sub-sampled image. Fixed size face detection is applied to at least a portion of the integral image to provide a set of candidate face regions. Responsive to the set of candidate face regions produced and any previously detected candidate face regions, the resolution is adjusted for sub-sampling a subsequent acquired image. | 10-22-2009 |
20090268967 | EFFICIENT MODEL-BASED RECOGNITION OF OBJECTS USING A CALIBRATED IMAGE SYSTEM - A model-based object recognition system operates to recognize an object on a predetermined world surface within a world space. An image of the object is acquired. This image is a distorted projection of the world space. The acquired image is processed to locate one or more local features of the image, with respect to an image coordinate system of the image. These local features are mapped a world coordinate system of the world surface, and matched to a model defined in the world coordinate system. Annotations can be arranged as desired relative to the object in the world coordinate system, and then inverse-mapped into the image coordinate system for display on a monitor in conjunction with the acquired image. Because models are defined in world coordinates, and pattern matching is also performed in world coordinates, one model definition can be used by multiple independent object recognition systems. | 10-29-2009 |
20090274371 | EFFICIENT MODEL-BASED RECOGNITION OF OBJECTS USING A CALIBRATED IMAGE SYSTEM - A model-based object recognition system operates to recognize an object on a predetermined world surface within a world space. An image of the object is acquired. This image is a distorted projection of the world space. The acquired image is processed to locate one or more local features of the image, with respect to an image coordinate system of the image. These local features are mapped a world coordinate system of the world surface, and matched to a model defined in the world coordinate system. Annotations can be arranged as desired relative to the object in the world coordinate system, and then inverse-mapped into the image coordinate system for display on a monitor in conjunction with the acquired image. Because models are defined in world coordinates, and pattern matching is also performed in world coordinates, one model definition can be used by multiple independent object recognition systems. | 11-05-2009 |
20090279786 | FACE CENTER POSITION DETECTING DEVICE, FACE CENTER POSITION DETECTING METHOD, AND COMPUTER-READABLE MEDIUM - It is possible to accurately detect a face center position based on an image of a person when the person is wearing glasses even when the person is facing sideways. Face images obtained as a result of photographing a face of a driver using a camera ( | 11-12-2009 |
20090279787 | MICROBEAD AUTOMATIC RECOGNITION METHOD AND MICROBEAD - A microbead automatic recognition method includes the steps of: acquiring an image of a circular surface of a cylindrical microbead having a recognition pattern created on the circular surface and a plurality of reference points also created on the circular surface; and acquiring information on the rear/front and/or orientation of the cylindrical microbead from the acquired image on the basis of the positions of the reference points. | 11-12-2009 |
20090285490 | Dictionary creating apparatus, recognizing apparatus, and recognizing method - A dictionary creating apparatus registers probability distributions each including an average vector and a covariance matrix, in a dictionary. The dictionary creating apparatus organizes plural distribution profiles of character categories having similar feature vectors into one typical distribution profile, and registers the typical distribution profile and the character categories to be organized, associated with each other, in the dictionary, without registering eigenvalues and eigenvectors of all character categories, associated with each other, in the dictionary. | 11-19-2009 |
20090290798 | IMAGE SEARCH METHOD AND DEVICE - An image search method that is robust and fast (with computational complexity of logarithmic order relative to the number of models). The image search method including: extracting a plurality of specific regions possessing such a property that a shape can be normalized regardless of an affine transformation thereof, as affine-invariant regions from one or more learning images; calculating, with respect to a reference affine-invariant region, other neighboring affine-invariant regions as a set; deforming the neighboring affine-invariant regions by a transformation to normalize the shape of the reference affine-invariant region; and outputting the deformed shapes of the neighboring affine-invariant regions, together with combination of the reference affine-invariant region and the neighboring affine-invariant regions. | 11-26-2009 |
20090290799 | Detection of Organ Area Corresponding to Facial Organ Image in Image - An image processing apparatus. A face area detecting unit detects a face area corresponding to a face image in a target image. An organ area detecting unit detects an organ area corresponding to a facial organ image in the face area. An organ detection omission ratio, which is a probability that the organ area detecting unit does not detect the facial organ image as the organ area, is smaller than a face detection omission ratio, which is a probability that the face area detecting unit does not detect the face image as the face area. | 11-26-2009 |
20090297031 | Selecting a section of interest within an image - Some embodiments provide a method of selecting a section of interest in an image that includes numerous pixels. the method draws a curvilinear boundary about the section of interest. From the curvilinear boundary, the method generates a two-dimensional transition tunnel region about the section of interest. The method analyzes image data based on the tunnel region to identify a subset of pixels in the region that should be associated with the section of interest. In some embodiments, the tunnel region includes a pair of curves bounding the tunnel region. In some embodiments, the curvilinear boundary has a particular shape, and generating the tunnel region includes determining whether the tunnel can be generated at a specified width with both curves of the tunnel having the same particular shape as the defined border. In some embodiments, analyzing image data includes comparing pixels inside the transition tunnel region to pixels outside the transition tunnel region. | 12-03-2009 |
20090297032 | SEMANTIC EVENT DETECTION FOR DIGITAL CONTENT RECORDS - A system and method for semantic event detection in digital image content records is provided in which an event-level “Bag-of-Features” (BOF) representation is used to model events, and generic semantic events are detected in a concept space instead of an original low-level visual feature space based on the BOF representation. | 12-03-2009 |
20090310867 | BUILDING SEGMENTATION FOR DENSELY BUILT URBAN REGIONS USING AERIAL LIDAR DATA - A method for extracting a 3D terrain model for identifying at least buildings and terrain from LIDAR data is disclosed, comprising the steps of generating a point cloud representing terrain and buildings mapped by LIDAR; classifying points in the point cloud, the point cloud having ground and non-ground points, the non-ground points representing buildings and clutter; segmenting the non-ground points into buildings and clutter; and calculating a fit between at least one building segment and at least one rectilinear structure, wherein the fit yields the rectilinear structure with the fewest number of vertices. The step of calculating further comprises the steps of (a) calculating a fit of a rectilinear structure to the at least one building segment, wherein each of the vertices has an angle that is a multiple of 90 degrees; (b) counting the number of vertices; (c) rotating the at least one building segment about an axis by a predetermined increment; and (d) repeating steps (a)-(c) until a rectilinear structure with the least number of vertices is found. | 12-17-2009 |
20090316994 | METHOD AND FILTER FOR RECOVERY OF DISPARITIES IN A VIDEO STREAM - The invention concerns a method for recovery, through a digital filtering processing, of the disparities (di,k) in the digital images ( | 12-24-2009 |
20090324087 | SYSTEM AND METHOD FOR FINDING STABLE KEYPOINTS IN A PICTURE IMAGE USING LOCALIZED SCALE SPACE PROPERTIES - A method and system is provided for finding stable keypoints in a picture image using localized scale properties. An integral image of an input image is calculated. Then a scale space pyramid layer representation of the input image is constructed at mulitple scales, wherein at each scale, a set of specific filters are applied to the input image to produce an approximation of at least a portion of the input image. Outputs from filters are combined together to form a single function of scale and space. Stable keypoint locations are identified in each scale at pixel locations at which the single function attains a local peak value. The stable keypoint locations which have been identified are then stored in a memory storage. | 12-31-2009 |
20090324088 | Method for detecting layout areas in a video image and method for generating an image of reduced size using the detection method - The invention relates to an automatic detection method in a source image, of at least one area called a layout area comprising at least one layout, such as a logo and/or a score. According to the invention, the layout areas of a source image are detected using the salience of source image pixels. The detection is carried out in specific areas of the source image saliency map, usually in the areas corresponding to the comers of the image or to the bands in the upper part and lower part of the image. In these areas, two points are sought having maximum salience values and distant by at least p points from each other. These two points corresponding to the beginning and end of a layout area. The window bounding these two points then corresponds to a layout area. | 12-31-2009 |
20090324089 | IMAGING SYSTEM, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - A favorable noise reduction process that is optimized for capturing conditions and that prevents the occurrence of residual image components is enabled. Provided is an imaging system including: a first extraction section that extracts a local region that includes a pixel of interest from an image signal; a second extraction section that extracts, from another image signal captured at a different time, a local region located at almost the same position as said local region; a first noise reduction section that performs a noise reduction process by using the local regions; a noise estimation section that estimates an amount of noise included in the pixel of interest; a residual image detection section that detects a residual image component included in the local region based on the estimated amount of noise; and a second noise reduction section that performs a noise reduction process based on the detected residual image component. | 12-31-2009 |
20100008587 | IMAGE PROCESSING IMPROVING POSTPROCESSING RATE OF CHARACTER RECTANGLE EXTRACTION AND IMPROVING CHARACTER RECOGNITION ACCURACY - An image processing device is provided by the present invention, which includes a unit configured to acquire a pixel block contacting an enclosing border of a character rectangle extracted from an image, a determination unit configured to determine whether or not the acquired pixel block has a likelihood of noise, a unit configured to generate a noise candidate removed character rectangle by removing from the character rectangle the pixel block as to which it is determined to have the likelihood of noise, and an outputting unit configured to assess validities by performing character recognition for both of the noise candidate removed character rectangle and the character rectangle, and configured to output a recognition result for one of them having greater validity assessed. | 01-14-2010 |
20100014758 | METHOD FOR DETECTING PARTICULAR OBJECT FROM IMAGE AND APPARATUS THEREOF - When discriminating a plurality of types of objects, a plurality of local feature quantities are extracted from local regions in an image, and positions of the local regions, and attributes according to image characteristics of the local feature quantities are stored in correspondence with each other. Then, object likelihoods with respect to a plurality of objects are determined from attributes of feature quantities in a region-of-interest, an object whose object likelihood is not less than a threshold value is determined as an object candidate, and whether an object candidate is a predetermined object is determined. | 01-21-2010 |
20100014759 | EYE DETECTING DEVICE, EYE DETECTING METHOD, AND PROGRAM - An eye part detecting device has an image input section ( | 01-21-2010 |
20100021067 | ABNORMAL AREA DETECTION APPARATUS AND ABNORMAL AREA DETECTION METHOD - An abnormal area detecting apparatus is provided for detecting the presence or absence and the position of abnormality with high accuracy using higher-order local auto-correlation feature. The abnormal area detecting apparatus comprises means for extracting feature data from image data on a pixel-by-pixel basis through higher-order local auto-correlation; means for adding the feature data extracted by the feature data extracting means for pixels within a predetermined range including each of pixels spaced apart by a predetermined distance; means for calculating an index indicative of abnormality of feature data with respect to a subspace indicative of a normal area; means for determining an abnormality based on the index; and means for outputting a pixel position at which an abnormal is determined. The apparatus may extract a plurality of higher-order local auto-correlation feature data which differ in displacement width. Further, the apparatus may comprise means for finding a subspace indicative of a normal area based on a principal component vector from feature data in accordance with a principal component analysis approach. The apparatus is capable of determine an abnormality on a pixel-by-pixel basis, and capable of correctly detecting the position of an abnormal area. | 01-28-2010 |
20100027890 | IMAGE INFORMATION PROCESSING METHOD AND APPARATUS - An eye-gaze direction calculation unit calculates the eye-gaze direction in an input facial image of a person by carrying out prescribed operation processing based on iris shape data output from an iris detection unit and face-direction measurement data output from a face-direction measurement unit. The eye-gaze direction of the facial image of the person can be measured on the basis of accurate iris shape information obtained by an iris shape detection unit. The iris and sclera regions can be estimated on the basis of the detected eyelid contour information, thereby making it possible to accurately estimate the shape of the iris. | 02-04-2010 |
20100034466 | Object Identification in Images - A first indication of a portion of an image presented on a display device associated with a first user is received in response to a prompt to identify an object. A second indication of a portion of the image presented on a display device associated with a second user is received in response to a prompt to identify the object. A region-of-interest in the image is identified based on the first indication and the second indication. The region-of-interest is associated with an identifier of the object. A designator is associated with the region-of-interest in the image, the designator being configured to present information related to the object. Presentation of the designator associated with the region-of-interest in the image is enabled in subsequent presentations of the image. | 02-11-2010 |
20100040288 | SYSTEM AND METHOD FOR VALIDATION OF FACE DETECTION IN ELECTRONIC IMAGES - The subject application is directed to a system and method for validation of face detection in electronic images. Image data is first received along with at least one image portion that includes a possible facial depiction. Eye position data, nose position data, and mouth position data are also received. A reference point at a central location of the at least one image portion is then isolated. A width of the image portion is then isolated, and a facial region is isolated in accordance with the eye, nose, and mouth position data. The eye distance is then determined from the received eye position data. The isolated facial region data is then tested against the reference point and eye distance is tested against a width of the image portion. An output is generated corresponding to the accuracy of isolated facial region in accordance with the tests. | 02-18-2010 |
20100040289 | Load Sign Recognition Apparatus and Load Sign Recognition Method - A road sign recognition apparatus generates a mosaic image formed by connecting accumulated images from a camera in time-series order, determines multiple road signs contained in the mosaic image by template matching, and generates positional information for the use of knowing a relative position of a vehicle to the road sign. | 02-18-2010 |
20100040290 | MOTION ESTIMATION AND SCENE CHANGE DETECTION USING TWO MATCHING CRITERIA - A motion estimation and scene change detection method using two matching criteria, whereby the first matching criterion applies goodness-of-fit or another known matching criterion for motion estimation and the second matching criterion is the reciprocal value of the estimation error variance lower bound, which can be given by the Cramer-Rao-Inequation. The method allows taking full advantage of multiresolution signal processing. | 02-18-2010 |
20100067802 | ESTIMATING A LOCATION OF AN OBJECT IN AN IMAGE - An implementation provides a method for estimating a location for an object in a particular image of a sequence of images. The location is estimated using a particle-based framework, such as a particle filter. It is determined that the estimated location for the object in the particular image is occluded. A trajectory is estimated for the object based on one or more previous locations of the object in one or more previous images in the sequence of images. The estimated location of the object is changed based on the estimated trajectory. | 03-18-2010 |
20100067803 | ESTIMATING A LOCATION OF AN OBJECT IN AN IMAGE - An implementation provides a method for determining a trajectory of an object in a particular image in a sequence of digital images, the trajectory being based on one or more previous locations of the object in one or more previous images in the sequence. A weight is determined, for a particle in a particle-based framework for tracking the object, based on distance from the trajectory to the particle. A location estimate is determined for the object using the particle-based framework, the location estimate being based on the determined particle weight. | 03-18-2010 |
20100074530 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND PROGRAM - An image processing method performs reduction processing on an input image to acquire a reduced image, extracts a feature point from a group of images including the input image and one or more of the reduced images, determines as a matched feature point the feature point extracted from a matching position in each of two or more images in the group of images, calculates a local feature quantity of the matched feature point determined by the determination unit, and registers the calculated local feature quantity as a local feature quantity of the input image. | 03-25-2010 |
20100080466 | Smart Navigation for 3D Maps - An interest center-point and a start point are created in an image. A potential function is created where the potential function creates a potential field and guides traversal from the starting point to the interest center-point. The potential field is adjusted to include a sum of potential fields directed toward the center-point where each potential field corresponds to an image. Images are displayed in the potential field at intervals in the traversal from the start point toward the interest center point. | 04-01-2010 |
20100080467 | VANISHING POINT DETECTING SYSTEM, VANISHING POINT DETECTING METHOD, AND VANISHING POINT DETECTING PROGRAM - Disclosed is a vanishing point detecting system that includes a straight line detecting unit, a vanishing point detecting unit, and a vanishing point outputting unit. In the vanishing point detecting unit, a vanishing point is detected with one evaluation index of vanishing point plausibility being whether or not angles of plural straight lines passing through a point in question or a vicinity thereof are sparsely distributed over a relatively wide range. | 04-01-2010 |
20100080468 | METHOD AND INSTALLATION FOR IMAGING - (a) a measurement F | 04-01-2010 |
20100086210 | DIGITIZING DOCUMENTS - Techniques for performing page verification of a document are provided. The techniques include performing a recognition technique on a document to recognize one or more objects in the document, excluding the one or more recognized objects from the document, and performing page verification of the document, wherein page verification comprises visual inspection of the document excluding the one or more recognized objects. | 04-08-2010 |
20100086211 | METHOD AND SYSTEM FOR REFLECTION DETECTION IN ROAD VIDEO IMAGES - A method and system for reflection detection in road video images, is provided. One implementation involves detecting road surface reflections, by receiving an image of a road in front of a vehicle from an image capturing device, determining a region of interest in an identified road in the image, and detecting road surface reflections in the region of interest. | 04-08-2010 |
20100086212 | Method and System for Dispositioning Defects in a Photomask - A method and system for dispositioning defects in a photomask are provided. A method for dispositioning defects in a photomask includes analyzing photomask topography data including data representing a design topology of at least a first photomask, the first photomask corresponding to a first layer in a photolithographic process. Based at least on the analysis, one or more safe regions of the first photomask are identified, each safe region corresponding to a region of the first layer insensitive to potential defects located in the first photomask. | 04-08-2010 |
20100086213 | IMAGE RECOGNITION APPARATUS AND IMAGE RECOGNITION METHOD - An image recognition apparatus that recognizes an object related to a certain object in an image sequentially recognizes an object from the image in accordance with recognition-order information that indicates an object order in an object sequence including the certain object, the related object, and an object connected between those objects. The apparatus determines whether or not an object recognized in a current turn of recognition has a connective relationship with an extracted object obtained in a previous turn of recognition, and obtains the object that has been determined as having a connective relationship as an extracted object. Based on an object extracted by a repetition of the above processing, that is, recognition, connective relationship determination, and obtaining, in the above-described recognition order, the related object is associated with the certain object. | 04-08-2010 |
20100104193 | MILLIMETRIC WAVE IMAGING DEVICE AND CAPTURED IMAGE DISPLAY DEVICE - A millimetric wave imaging device includes: a lens antenna; a polygon mirror; a receiving portion; a scanning unit; and an image data generating unit. The receiving portion receives millimetric wave radiated from an object, transmitted through the lens antenna, and reflected on a mirror surface of the polygon mirror rotated by the scanning unit to detect a signal level of the millimetric wave. The image data generating unit generates image data representing an object image by receiving a detection signal from the receiving portion while driving the polygon mirror through the scanning unit. | 04-29-2010 |
20100104194 | IMAGE PROCESSING APPARATUS, ELECTRONIC MEDIUM, AND IMAGE PROCESSING METHOD - An image processing apparatus include: a storage unit storing an image of a processing target; a tangent calculating unit extracting contours as a bent lines represented by sets of contour points from an image read from the storage unit and computing tangents to the extracted contour; a projecting unit projecting computed tangents to axes in directions orthogonal to the corresponding tangents, and computing coordinates of intersections where the tangents intersect the axes; and a rectangle calculating unit selecting intersections with maximum values and minimum values of coordinates among intersections computed by the projecting unit for each direction of the axis, and computing a rectangle formed by a pair of parallel tangents passing through two intersections with maximum values and minimum values selected for a first axis and another pair of tangents passing through two intersections with maximum values and minimum values selected for a second axis orthogonal to the first axis. | 04-29-2010 |
20100104195 | Method for Identifying Dimensions of Shot Subject - The present invention relates to a method for identifying dimensions of shot subject, implemented on an identification system including a photo shooting unit capable of adjusting focal lengths. The method includes steps of using the photo shooting unit to focus on plural positions respectively having different field depths on a shot subject and respectively capture a image thereof, determining whether resolutions of the captured images are same, and if so, the shot subject is a two dimensional object, otherwise, the shot subject is a three dimensional object. | 04-29-2010 |
20100104196 | Method and System for Extracting Information from an Analog Graph - Disclosed herein is a method for extracting information from an analog graph on a driver log sheet. The method includes providing an electronic image of an analog graph, identifying a graph height dimension and a graph width dimension, dividing the height dimension into a number of activity rows, and dividing the width dimension into a number of time columns. An array of cells defined by the intersections of the time columns and the activity rows is established, where each cell includes a plurality of pixels. For each cell, a probability is determined corresponding to the probability that a substantially horizontal line formed by black pixels extends substantially across at least a portion of that cell. For each time column, the respective probabilities of the cells in that time column are compared, the cell with the highest probability is flagged, and the activity row of the flagged cell is determined. | 04-29-2010 |
20100104197 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND PROGRAM - An image processing apparatus reduces two input images to be compared by the predetermined number of times to generate two image groups, extracts a plurality of feature points and a local feature amount of each feature point from these image groups, and determines a combination of feature points in which local feature amounts are similar to each other, between the image groups. Then, the image processing apparatus determines a relation of a reasonable combination, assigns high weights to the reasonable combination, and calculates a similarity degree between the two input images. | 04-29-2010 |
20100119157 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER READABLE MEDIUM - An image processing apparatus includes a characteristic region detecting section that detects a plurality of characteristic regions in an image, a condition storing section that stores thereon assignment conditions differing in accordance with characters of characteristic regions, so that different compression strengths are assigned in accordance with the characters of the characteristic regions, a compressing section that respectively compresses a plurality of characteristic region images which are images of the plurality of characteristic regions, and a compression control section that controls compression strengths at which the compressing section respectively compresses the plurality of characteristic region images in accordance with characters of the plurality of characteristic regions, with reference to the conditions stored on the condition storing section. Also provided is an image processing apparatus that includes an encoding manner storing section that stores encoding manners in association with quantities of characteristics of objects, a characteristic region detecting section that detects a plurality of characteristic regions from an image, and a compressing section that compresses the images of the plurality of characteristic regions by encoding manners stored in the encoding manner storing section in association with the quantities of characteristics of objects included in the plurality of characteristic regions respectively. | 05-13-2010 |
20100135580 | METHOD FOR ADJUSTING VIDEO FRAME - A method for adjusting a face area of a user in the video frame captured by a camera lens is disclosed. In the method, an edge of an image in the video frame is detected, wherein the image contains a face area representing a face of a user. Then, a plurality of facial features of the face are extracted from the face area according to the image edge. Then, a facial feature database is referred to for the facial features to estimate a tilt angle between a plane corresponding to the face of the user and a focusing direction of the camera lens towards the face on capturing the video frame. Finally, the estimated tilt angle is used for adjusting relative proportion between image parts in the face area. As a result, the video frame displaying an image effect of the face as seen by a person from a position in front of and level with the face and having no tilted image of the face is obtained. | 06-03-2010 |
20100135581 | Depth estimation apparatus and method - A depth estimation apparatus is provided. The depth estimation apparatus may estimate a depth value of at least one pixel composing an input video based on feature information about at least one feature of the input video, a position of the at least one pixel, and a depth relationship among the at least one pixel and neighboring pixels. | 06-03-2010 |
20100135582 | SYSTEM AND METHOD FOR SEARCH PORTIONS OF OBJECTS IN IMAGES AND FEATURES THEREOF - Embodiments enable searching of portions of objects in images, including programmatically analyzing each image in a collection in order to determine image data that, for individual images in the collection, represents one or more visual characteristics of a portion of an object shown in that image. A user is enabled to specify one or more search criteria that includes image data, and a search result may be determined based on one or more images in the collection that show a corresponding object that has a portion that satisfies a threshold. The threshold is defined at least in part by the one or more search criteria. | 06-03-2010 |
20100142823 | 2D PARTIALLY PARALLEL IMAGING WITH K-SPACE SURROUNDING NEIGHBORS BASED DATA RECONSTRUCTION - Embodiments of the present invention relate to a Surrounding Neighbors based Autocalibrating Partial Parallel Imaging (SNAPPI) approach to MRI reconstruction. Several 2D PPI reconstruction methods may be provided by applying SNAPPI to recover the partially skipped k-space data along two PE directions separately or non-separately, in k-space or in the hybrid k-space and image-space. | 06-10-2010 |
20100142824 | METHOD AND APPARATUS FOR REAL-TIME/ON-LINE PERFORMING OF MULTI VIEW MULTIMEDIA APPLICATIONS - A method and apparatus for real-time/on-line performing of multi-view multimedia applications are disclosed. In one aspect, a method of computing a disparity value of a pixel includes computing from two input images a plurality of first costs for a pixel, each cost associated with a region selected from a plurality of regions a first type, the regions covering the pixel and being substantially equal in size and shape. The method also includes computing from the first costs a plurality of second costs each associated with a region selected from a plurality of regions of a second type, the regions of the second type covering the pixel, at least some of the regions of the second type having a substantially different size and/or shape. The method further includes selecting from the second costs the minimal cost and selecting the corresponding disparity value as the disparity value. | 06-10-2010 |
20100150450 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE CAPTURING APPARATUS - Face regions are detected from a captured image, and a weight of each detected face region is computed based on a size and/or a position of the detected face region. Then a previous priority ranking weight is computed based on a priority ranking determined in previous processing. A priority of the face region is computed from the weight and the previous priority ranking weight. For example, if the continuous processing number exceeds the threshold the priority ranking weight is reduced. After the processing is completed for all face regions, a priority ranking of each face region is determined based on the priority computed for each face region. | 06-17-2010 |
20100158387 | SYSTEM AND METHOD FOR REAL-TIME FACE DETECTION USING STEREO VISION - A system and a method for detecting a face are provided. The system includes a vision processing unit and a face detection unit. The vision processing unit calculates distance information using a plurality of images including a face pattern, and discriminates between a foreground image including the face pattern and a background image not including the face pattern, using the distance information. The face detection unit scales the foreground image according to the distance information, and detects the face pattern from the scaled foreground image. | 06-24-2010 |
20100166317 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR PROVIDING FACE POSE ESTIMATION - A method for providing face pose estimation for face detection may include utilizing a selected portion of classifiers in detectors to determine coarse pose information for a candidate face in an image, determining fine pose information for the candidate face based at least in part on the determined coarse pose information, and employing another portion of the classifiers in the detectors to perform face detection based at least in part on the fine pose information to determine whether the candidate face corresponds to a face. An apparatus and computer program product corresponding to the method are also provided. | 07-01-2010 |
20100166318 | ADAPTIVE PARTIAL CHARACTER RECOGNITION - A method and system for recognizing a character affected by a noise or an obstruction is disclosed. After receiving an image with characters, a character being affected by a noise or an obstruction is determined. Then, areas in the character where the noise or obstruction affected are precisely located. Templates representing every possible character in the image are updated by removing equivalent areas to the areas in the character being affected by the noise or obstruction. Then, the character is classified in a template among the updated templates by finding the template having the highest number of matching pixels with the character. | 07-01-2010 |
20100183226 | BETA-SHAPE: COMPACT STRUCTURE FOR TOPOLOGY AMONG SPHERES DEFINING BLENDING SURFACE OF SPHERE SET AND METHOD OF CONSTRUCTING SAME - There is provided a beta-shape, which is a compact structure for topology among spheres defining a blending surface of a sphere set. There is also provided a method of constructing the beta-shape, comprising: acquiring a Voronoi diagram of spheres; searching for partially accessible Voronoi edges; and obtaining faces of the beta-shape from the partially accessible Voronoi edges. Further, there is provided a method of utilizing the beta-shape to recognize pockets, which comprises the steps of acquiring the beta-shapes, and recognizing the pockets from the beta-shapes. | 07-22-2010 |
20100183227 | Person detecting apparatus and method and privacy protection system employing the same - A person detection apparatus and method, and a privacy protection system using the method and apparatus, the person detection apparatus includes: a motion region detection unit, which detects a motion region from a current frame image using motion information between frames; and a person detecting/tracking unit, which detects a person in the detected motion region using shape information of persons, and performs a tracking process on a motion region detected as the person in a previous frame image within a predetermined tracking region. | 07-22-2010 |
20100183228 | SPECIFYING POSITION OF CHARACTERISTIC PORTION OF FACE IMAGE - Image processing apparatus and methods are provided for specifying the positions of predetermined characteristic portions of a face image. A method includes determining an initial disposition of characteristic points in a target face image, applying a transformation to at least one of the target face image or the reference face image, and updating the disposition of the characteristic points in response to a comparison between at least one of the transformed target face image and the reference face image or the target face image and the transformed reference face image. | 07-22-2010 |
20100189357 | METHOD AND DEVICE FOR THE VIRTUAL SIMULATION OF A SEQUENCE OF VIDEO IMAGES - The invention relates to a method for the virtual simulation of a sequence of video images from a sequence of video images of a moving face/head, comprising: an acquisition and initialization phase of a face/head image of the real video sequence; an evolution phase for determining specific parametric models from characteristic points extracted from said image and used as initial priming points, and for deforming said specific models for adaptation to the outlines of the features of the analyzed face, and also for detecting and analyzing the cutaneous structure of one or more regions of the face/head; and a tracking and transformation phase for modifying the characteristic features of other images in the video sequence and the colors of the cutaneous structure, said modifications being carried out according to predetermined criteria stored in at least one database and/or according to decision criteria of at least one expert system of a 0+ or 1 order. | 07-29-2010 |
20100189358 | FACIAL EXPRESSION RECOGNITION APPARATUS AND METHOD, AND IMAGE CAPTURING APPARATUS - A facial expression recognition apparatus includes an image input unit configured to sequentially input images, a face detection unit configured to detect faces in images obtained by the image input unit, and a start determination unit configured to determine whether to start facial expression determination based on facial image information detected by the face detection unit. When the start determination unit determines that facial expression determination should be started, an acquisition unit acquires reference feature information based on the facial image information detected by the face detection unit and a facial expression determination unit extracts feature information from the facial image information detected by the face detection unit and determines facial expressions of the detected faces based on the extracted feature information and the reference feature information. | 07-29-2010 |
20100202698 | SYSTEMS, METHODS, AND COMPUTER PROGRAM PRODUCTS FOR DETERMINING DOCUMENT VALIDITY - A method according to one embodiment includes extracting an identifier from an electronic first document, and identifying a complementary document associated with the first document using the identifier. A validity of the first document is determined by simultaneously considering: textual information from the first document; textual information from the complementary document; and predefined business rules. An indication of the determined validity is output. Systems and computer program products for providing, performing, and/or enabling the methodology presented above are also presented. | 08-12-2010 |
20100202699 | IMAGE PROCESSING FOR CHANGING PREDETERMINED TEXTURE CHARACTERISTIC AMOUNT OF FACE IMAGE - Image processing apparatus and methods are provided for changing a texture amount of a face image. A method includes specifying positions of predetermined characteristic portions of the face image, determining a size of the face image, selecting a reference face shape based on the determined face image size, selecting a texture model corresponding to the selected reference face shape, performing a first transformation of the face image such that the resulting transformed face image shape matches the selected reference shape, changing the texture characteristic amount by using the selected texture model, and transforming the changed face image via an inverse transformation of the first transformation. | 08-12-2010 |
20100208997 | Image-Based Advertisement Platform - Described is an image centric advertisement platform and technology in which input images are matched to advertisements based on actual visible content (e.g., corresponding to features) within the image. Advertisers upload and bid on advertiser-provided images that correspond to advertisements. When an input image is received, such as a result of user interaction with web content or transmission of the image by a user, (e.g., via MMS), the image is matched to an advertiser images, such as via feature-based image matching. An index based upon the features may be used for efficiently locating the advertisement or advertisements. Also described is a tool for advertisers to use in creating a new scene based upon an uploaded image, or for adding the uploaded image to an existing scene. | 08-19-2010 |
20100208998 | VISUAL BACKGROUND EXTRACTOR - The present invention relates to a Visual Background Extractor (VIBE) consisting in a method for detecting a background in an image selected from a plurality of related images. Each one of said set of images is formed by a set of pixels, and captured by an imaging device. This background detection method comprising the steps of: establishing, for a determined pixel position in said plurality of images, a background history comprising a plurality of addresses, in such a manner as to have a sample pixel value stored in each address; comparing the pixel value corresponding to said determined pixel position in the selected image with said background history, and, if said pixel value from the selected image substantially matches at least a predetermined number of said sample pixel values: classifying said determined pixel position as belonging to the image background; and—updating said background history by replacing the sample pixel values in one randomly chosen address of said background history with said pixel value from the selected image. The method of the invention is applicable a.o. for video surveillance purposes, videogame interaction and imaging devices with embedded data processors. | 08-19-2010 |
20100208999 | METHOD OF COMPENSATING FOR DISTORTION IN TEXT RECOGNITION - A method of compensating for distortion in text recognition is provided, which includes extracting a text region from an image; estimating the form of an upper end of the extracted text region; estimating the form of a lower end of the extracted text region; estimating the form of left and right sides of the extracted text region; estimating a diagram constituted in the form of the estimated upper end, lower end, left and right sides, and including a minimum area of the text region; and transforming the text region constituting the estimated diagram into a rectangular diagram using an affine transform. | 08-19-2010 |
20100209000 | IMAGE PROCESSING APPARATUS FOR DETECTING COORDINATE POSITION OF CHARACTERISTIC PORTION OF FACE - There is provided an image processing apparatus that is used for detecting a coordinate position of a characteristic portion of a face included in a target image. | 08-19-2010 |
20100215275 | Test procedure for measuring the geometric features of a test specimen - The test procedure for measuring a geometric feature of a test specimen employs a replicating compound to obtain a casting with a negative image of the geometric feature followed by forming a protective covering over the casting from a replicating compound having a contrasting color. The casting and protective covering unit is cut to obtain a test piece and a flat bed scanner is used to scan the profile of the test piece and obtain an electronic two-dimensional image of the profile for analysis. | 08-26-2010 |
20100226577 | IMAGE PROCESSING APPARATUS AND METHOD - An apparatus includes. a unit generating a sample-texture image, a unit searching a preset-search range for similar pixels and to generate a texture image by assigning a pixel value of each of the similar pixels to a pixel value of a processing-target pixel in the texture image, the preset-search range being included in the sample-texture image and including a position corresponding to a position of the processing-target pixel to which any pixel value is not yet assigned, the similar pixels having, around the similar pixels, variation patterns similar to a pattern of pixels which are located in the texture image near the processing-target pixel and to which pixel values are assigned, and a unit combining the texture image and a base image of a same size as the texture image to obtain a synthetic image, the base image holding shades similar to shades of a transform-target image. | 09-09-2010 |
20100226578 | OBJECT DETECTING APPARATUS, AND OBJECT DETECTING METHOD - An object detecting apparatus includes a plurality of feature value calculating units that are provided for respective different features of an image and perform a process of extracting the features from an attention region in parallel; a plurality of combining units detecting combinations of the features in parallel, the plurality of combining units are provided for the respective combinations of the features included in the attention region, the plurality of combining units detect the combinations from a outputted features from the plurality of feature value calculating units; and a plurality of identifying units that are provided corresponding to the plurality of combining units and perform in parallel a process of identifying an object based on the combinations detected by the combining units. | 09-09-2010 |
20100232704 | DEVICE, METHOD AND COMPUTER PROGRAM PRODUCT - A device is provided, in which a display screen displays an image; an image analyzer determines at least one potential area of interest in the image; a visual indicator highlights at least a boundary of the at least one potential area of interest, and an optical zoom and/or a digital zoom changes the magnification level of an area of interest selected from the at least one potential area of interest. The device permits a user to zoom in and/or zoom out of the selected area of interest by displacing the boundary of the selected area of interest over at least a portion of the display screen. | 09-16-2010 |
20100232705 | Device and method for detecting shadow in image - A device for detecting a shadow region in an image includes an imaging module generating a multi-channel image including brightness, red, green, and blue channels, a brightness correcting module correcting values of the brightness channel based on imaging parameters and outputting a corrected multi-channel image, a scene classifying module determining to carry out a shadow detection on the corrected multi-channel image, a shadow detecting module classifying pixels of the corrected multi-channel image into a shadow or non-shadow pixel, and generating a shadow classification mark matrix having pixels having a shadow classification mark value corresponding to the classification, a region segmentation module segmenting the multi-channel image into regions having pixels having similar color values, and generating a region mark matrix having pixels having a region mark value, and a post-processing module updating the shadow classification mark matrix based on the shadow classification mark matrix and region mark matrix. | 09-16-2010 |
20100246969 | COMPUTATIONALLY EFFICIENT LOCAL IMAGE DESCRIPTORS - Described is a technology in which an image (or image patch) is processed into a highly discriminative and computationally efficient image descriptor that has a low storage footprint. Feature vectors are generated from an image (or image patch), and further processed via a polar Gaussian pooling approach (a DAISY configuration) into a descriptor. The descriptor is normalized, and processed with a dimension reduction component and a quantization component (based upon dynamic range reduction) into a finalized descriptor, which may be further compressed. The resulting descriptors have significantly reduced error rates and significantly smaller sizes than other image descriptors (such as SIFT-based descriptors). | 09-30-2010 |
20100246970 | DEVICE AND A METHOD FOR PROVIDING INFORMATION ABOUT ANIMALS WHEN WALKING THROUGH AN ANIMAL PASSAGE - The invention relates to a device and method for providing information about animals walking through an animal passage (I), the information comprising at least the number of animals walking through the animal passage, using a detection device having a sensor device connected to a processor for capturing animal data about animals walking through the animal passage, and an analysis device for recognizing animals in the data/signals captured by the sensor device for the purpose of outputting counter impulses when animals are detected in said signals, the sensor device being designed for producing 3D images, and the analysis device being designed for detecting animals in the 3D data of the 3D images and for counting the animals using said detection. | 09-30-2010 |
20100246971 | HOUSE CHANGE DETERMINING METHOD, HOUSE CHANGE DETERMINING PROGRAM, HOUSE CHANGE DETERMINING IMAGE GENERATING METHOD, AND HOUSE CHANGE DETERMINING IMAGE - A method of judging a house change based on a comparison between high-resolution images or DSMs acquired from an aircraft is incapable of determining the house change in the region in which the DSM or the like is acquired for the first time. A house region in which a house exists is extracted from a judgment target region based on house polygon data acquired in advance at a time point T | 09-30-2010 |
20100254609 | DIGITAL CAMERA AND IMAGE CAPTURING METHOD - A digital camera and an image capturing method for photographing at least one object in the digital camera. An image is sensed, and an eye-gazing detection process is accordingly preformed on the image to detect an eye-gazing direction of at least one pair of eyes of the at least one object. It is determined whether the eye-gazing direction meets a gazing criterion. If the eye-gazing direction meets the gazing criterion, an application of the digital camera is triggered. | 10-07-2010 |
20100260423 | APPARATUS AND METHOD FOR PROCESSING IMAGE - A template representative of an image of a human face is provided. At least one of the template and image data is rotated to adjust a relative angle between an original orientation of the template and an original orientation of the image data, so as to exclude an angle range including 180 degrees. It is examined a matching between a part of the image data and the template to identify a region in the image data containing an image of a human face. The image data is corrected in accordance with a condition of the image of the human face. | 10-14-2010 |
20100266207 | Focus enhancing method for portrait in digital image - A focus enhancing method for a portrait in a digital image is applied to an electronic device capable of receiving or reading a digital image and executing a focus enhancing process with respect to a portrait in the digital image, wherein the focus enhancing process includes a foreground definition procedure for defining a head region and a body region of the portrait as a foreground of the digital image, a foreground and background segmentation procedure for cutting away an image other than the foreground from the digital image and defining the result as a background of the digital image, and a foreground and background blending procedure for blurring the background, feathering a transition region coupled to the foreground and the background, and blending the foreground, the transition region and the background to form a new digital image with a prominent portrait. | 10-21-2010 |
20100266208 | Automated Image Cropping to Include Particular Subjects - A digital image is automatically cropped to fit within a desired frame. The cropping is based on one or more of two identified portions of the image. One of the portions is an all-subjects portion that includes all the identified subjects of a particular type in the image. The other portion is an attention portion that identifies an intended focus of the image. An attempt to crop the image to include both of these portions is made, and if unsuccessful then an attempt to crop the image to include at least the all-subjects portion is made. If neither of these attempts is successful, then the image is cropped to include one or more, but less than all, of the identified subjects of the particular type in the image. | 10-21-2010 |
20100266209 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - The present invention provides an image processing apparatus which able to shorten processing time and includes an image inputting unit that inputs an image, a region division unit that generates region information by dividing an input image input by the image inputting unit into regions having a plurality of different types of attributes, including a frame region attribute, a non-frame region processing unit that obtains data of respective regions other than frame regions by applying attribute-specific processing for respective regions, excluding frame regions, included in the input image on the basis of the input image and the region information, and executes processing of filling of the processed regions, and a frame region processing unit that executes reduction processing and vectorization processing for the frame region according to the region size of the frame region. | 10-21-2010 |
20100266210 | Predictive Determination - Systems, methods and computer readable media are disclosed for a gesture recognizer system architecture. A recognizer engine is provided, which receives user motion data and provides that data to a plurality of filters. A filter corresponds to a gesture, that may then be tuned by an application receiving information from the gesture recognizer so that the specific parameters of the gesture—such as an arm acceleration for a throwing gesture—may be set on a per-application level, or multiple times within a single application. Each filter may output to an application using it a confidence level that the corresponding gesture occurred, as well as further details about the user motion data. | 10-21-2010 |
20100272367 | IMAGE PROCESSING USING GEODESIC FORESTS - Image processing using geodesic forests is described. In an example, a geodesic forest engine determines geodesic shortest-path distances between each image element and a seed region specified in the image in order to form a geodesic forest data structure. The geodesic distances take into account gradients in the image of a given image modality such as intensity, color, or other modality. In some embodiments, a 1D processing engine carries out 1D processing along the branches of trees in the geodesic forest data structure to form a processed image. For example, effects such as ink painting, edge-aware texture flattening, contrast-aware image editing, forming animations using geodesic forests and other effects are achieved using the geodesic forest data structure. In some embodiments the geodesic forest engine uses a four-part raster scan process to achieve real-time processing speeds and parallelization is possible in many of the embodiments. | 10-28-2010 |
20100272368 | IMAGE PREVIEWING SYSTEM CAPABLE OF AUTOMATICALLY MAGNIFYING FACE PORTION IN IMAGE AND MAGNIFYING METHOD THEREOF - An image previewing system includes a display unit, a face portion recognition unit, a selecting unit, a comparing unit and a magnifying unit. The display unit comprises a screen configured to show an image. The face portion recognition unit is configured to recognize any human face contained in the image and determine face portions in the image if human face(s) exists in the image. The selecting unit is configured to select one of the face portions in the image. The comparing unit is configured to compare the number of image pixels of the selected face portion with the resolution of the screen of the display unit and generate a result. According to the result, the magnifying unit configured to magnify the selected face portion and display the magnified face portion on the screen. | 10-28-2010 |
20100272369 | Image processing apparatus - Multi-resolution images of a reference image and a target image are generated. Then, whole-range matching is performed on an image of a lower resolution to detect a two-dimensional displacement between the images. Block matching is performed on an image of a higher resolution to detect a displacement at each feature point. The accuracy of motion data is increased by correcting the motion data with an image of a higher resolution by using the previously calculated motion data of the lowest resolution through higher resolutions as an initial value. | 10-28-2010 |
20100278433 | INTERMEDIATE IMAGE GENERATING APPARATUS AND METHOD OF CONTROLLING OPERATION OF SAME - An intermediate image is generated between a reference image and a corresponding image. To achieve this, moving subject images are detected in respective ones of a first image and second image captured at a fixed interval. A moving subject image of an intermediate image is positioned at a position that is intermediate the moving subject images. The intermediate image is generated utilizing the reference image in a portion of the image other than occupied by the moving subject image. A correction is applied in such a manner that the second image will coincide with the first image with the exception of the portion of the second image occupied by the moving subject image. | 11-04-2010 |
20100290708 | IMAGE RETRIEVAL APPARATUS, CONTROL METHOD FOR THE SAME, AND STORAGE MEDIUM - An image retrieval apparatus configured so as to enable a global feature method and a local feature method to complement each other is provided. After obtaining a retrieval result candidate using the local feature method, the image retrieval apparatus further verifies global features already registered in a database, with regard to the retrieval result candidate image. A verification position of the global features is estimated using the local features. | 11-18-2010 |
20100296736 | IMAGE SEARCH APPARATUS AND METHOD THEREOF - An image search apparatus, which determines a similarity between an input query image and a registered comparison destination image and searches an image similar to the query image, extracts a plurality of corresponding pairs of feature points in two images based on feature points selected from the both images. A coordinate transformation coefficient to execute a coordinate transformation process is decided so that coordinates of the feature point of one of the two images match coordinates of the feature point of the other image, in relation to each pair. Only if an amount of transformation of coordinates satisfies the constraint conditions designated in advance, the coordinate transformation process using the coordinate transformation coefficient is executed in relation to the plurality of pairs of feature points, and coordinates of the feature points after the transformation of one image are compared with coordinates of the corresponding feature points of the other image. | 11-25-2010 |
20100303360 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND RECORDING MEDIUM - A foreground pixel block extraction process section divides input image data into a plurality of pixel blocks, and classifies each pixel block as a uniform density pixel block or foreground pixel block. By performing above process, the foreground pixel block extraction process section extracts foreground pixel blocks. A foreground color calculation process section calculates the foreground colors from the extracted foreground pixel blocks as color information. A labeling process section extracts connected foreground pixel block areas as foreground pixel areas by giving the same label to a plurality of adjacent foreground pixel blocks. From these processing results, a foreground pixel extraction process section calculates a representative color for each foreground pixel area, and extracts pixels having pixel values close to the representative color as foreground pixels. | 12-02-2010 |
20100310175 | Method and Apparatus to Facilitate Using Fused Images to Identify Materials - First image data (which comprises a penetrating image of an object formed using a first spectrum) and second image data (which also comprises a penetrating image of this same object formed using a second, different spectrum) is retrieved from memory and fused to facilitate identifying at least one material that comprises at least a part of this object. The aforementioned first spectrum can comprise, for example, a spectrum of x-ray energies having a high typical energy while the second spectrum can comprise a spectrum of x-ray energies with a relatively lower typical energy. By one approach, this process can associate materials as comprise the object with corresponding atomic numbers and hence corresponding elements (such as, for example, uranium, plutonium, and so forth). | 12-09-2010 |
20100310176 | Apparatus and Method for Measuring Depth and Method for Computing Image Defocus and Blur Status - An apparatus and a method for measuring the depth of an object in a scene and a method for computing image defocus and blur status are provided. An image analysis unit receives a plurality of reference blurred images, analyzes the reference blurred images, produces reference grey-scale distribution data, where the reference blurred images corresponds to a plurality of reference depths, respectively. A blur comparison module produces a blur model according to the reference grey-scale distribution data and the corresponding reference depths. The image analysis unit receives a target blurred image, analyzes the target blurred image, and produces and transmits target grey-scale distribution data to the blur comparison module for comparing the target grey-scale distribution data according to the blur model, and producing depth information. Moreover, the present invention further produces the corresponding blur status data, used in defocus and blur computations, according to the defocused and blurred image. | 12-09-2010 |
20100322520 | IMAGE-READING DEVICE - An image-reading device includes a reading unit, a displaying unit, a recognition target region setting unit, a recognition target region adding unit, and a character recognizing unit. The recognition target region setting unit sets a recognition target region within the displayed image data to recognize characters. The recognition target region adding unit adds a new recognition target region based on the recognition target region set by the recognition target region setting unit. The character recognizing unit performs character recognition in the recognition target regions. | 12-23-2010 |
20100329569 | IMAGE PROCESSING PROGRAM, IMAGE PROCESSING APPARATUS, AND IMAGE PROCESSING METHOD - An image processing program, which is executable by a computer and is stored in a recording medium readable by the computer, includes: storing one or more features of a plurality of images, each image having a shape defined by a central angle whose origin is a center of a certain image; setting at least one representative shape defined by a central angle whose origin is a center of a search window for scanning a target image; extracting a first value of the one or more features of the representative shape; extracting a second value of the one or more features of one of the plurality of images; and comparing the extracted first value and the extracted second value and determining an image in the search window as an image candidate for the certain image based on a comparison result. | 12-30-2010 |
20110002547 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - There are provided an image processing device, an image processing method and a program that generate an electronic document in a format specification that is optimal for many purposes of electronic documents. A table region is discriminated from an input image, and a table structure in the table region is analyzed. A table line determination is made on the analyzed table structure as to whether or not each ruled line is representable in the format, and ruled line information and a vector line object are created according to the determination result. The created ruled line information and vector line object are used to generate the electronic document. | 01-06-2011 |
20110007972 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND COMPUTER-READABLE MEDIUM - An image-processing device comprises an acquisition section that acquires a binary image; a figure part identifying section that identifies a figure part in the binary image; a line segment identifying section that identifies line segments included in the figure part; a specific line segment extracting section that determines whether each line segment has an end portion having a specific shape, and extracts a line segment with an end portion having the specific shape as a specific line segment; and a table region determining section that determines whether the figure part is a table region based on the line segments identified by the line segment identifying section excluding the specific line segment. | 01-13-2011 |
20110019919 | AUTOMATIC MODIFICATION OF WEB PAGES - Systems and methods for quickly and easily getting information about, or included in, a paper document into a public or private digital page. One embodiment of an example system includes a scanner that generates scan information from at least a portion of a paper document and a processing system that receives the generated scan information from the scanner, accesses a database of digital documents, searches the database based on the received scan information, locates a digital document corresponding to the paper document, and sends either the digital content or a hyperlink to the digital content to a predetermined web page. | 01-27-2011 |
20110019920 | METHOD, APPARATUS, AND PROGRAM FOR DETECTING OBJECT - A region where a detecting target object exists is extracted by a comparison between an evaluated value indicating a probability that the detecting target object exists and a threshold, through the process of producing a differential image between different frames in plural frames constituting a continuous image, of setting an average value in an averaging region extended around each pixel of the differential image as a new value of each pixel, of obtaining the evaluated value by applying a filter that acts on a search region on an image to a search region extended around a search pixel that is extracted by comparing the new value and the threshold, on the differential image. | 01-27-2011 |
20110019921 | IMAGE MATCHING DEVICE, IMAGE MATCHING METHOD AND IMAGE MATCHING PROGRAM - Image matching device | 01-27-2011 |
20110038546 | METHOD AND APPARATUS FOR DETECTING AN INSERTED SEGMENT INTO A VIDEO DATA STREAM - An inserted segment of a video data stream is detected if no graphical object is detected. The presence of at least one active graphical object in the video data stream is detected concurrently with detecting appearance of a new graphical object in the video data stream. The most reliable graphical object from the at least one active graphical object and the new graphical object is determined and the presence of the most reliable graphical object is detected from a point in the video data stream at the new graphical object was detected to appear. An inserted segment of the video data stream is detected if no graphical object is detected. | 02-17-2011 |
20110038547 | METHODS OF FACIAL CODING SCORING FOR OPTIMALLY IDENTIFYING CONSUMERS' RESPONSES TO ARRIVE AT EFFECTIVE, INCISIVE, ACTIONABLE CONCLUSIONS - The present disclosure relates to a method of assessing consumer reaction to a stimulus, comprising receiving a visual recording stored on a computer-readable medium of facial expressions of at least one human subject as the subject is exposed to a business stimulus so as to generate a chronological sequence of recorded facial images; accessing the computer-readable medium for automatically detecting and recording expressional repositioning of each of a plurality of selected facial features by conducting a computerized comparison of the facial position of each selected facial feature through sequential facial images; automatically coding contemporaneously detected and recorded expressional repositionings to at least a first action unit, wherein the action unit maps to a first set of one or more possible emotions expressed by the human subject; assigning a numerical weight to each of the one or more possible emotions of the first set based upon both the number of emotions in the set and the common emotions in at least a second set of one or more possible emotions related to at least one other second action unit observed within a predetermined time period. | 02-17-2011 |
20110044546 | Image Reconstruction From Limited or Incomplete Data - A system and method are provided for reconstructing images from limited or incomplete data, such as few view data or limited angle data or truncated data (including exterior and interior data) generated from divergent beams. In one aspect of the invention, the method and apparatus iteratively constrains the variation of an estimated image in order to reconstruct the image. As one example, a divergent beam maybe used to generate data (“actual data”). As discussed above, the actual data may be less than sufficient to exactly reconstruct the image by conventional techniques, such as FBP. In order to reconstruct an image, a first estimated image may be generated. Estimated data may be generated from the first estimated image, and compared with the actual data. The comparison of the estimated data with the actual data may include determining a difference between the estimated and actual data. The comparison may then be used to generate a new estimated image. For example, the first estimated image may be combined with an image generated from the difference data to generate a new estimated image. In order to generate the image for the next iteration, the variation of the new estimated image may be constrained. For example, the variation of the new estimated image may be at least partly constrained in order to lessen or reducing the total variation of the image. | 02-24-2011 |
20110052077 | RESOLUTION INCREASING APPARATUS AND RESOLUTION INCREASING METHOD - A resolution increasing apparatus includes: a candidate specifying section configured to sequentially set pixels of notable points one by one from multiple pixels in one image; a matching error calculating section and the like configured to extract a corresponding point B corresponding to a pixel of a notable point A from a corresponding block Q having a pixel value change pattern identical or similar to a pixel value change pattern included in a notable block P that includes the pixel of the notable point A; a corresponding point increasing section configured to generate a new corresponding point C within an interval of a line segment obtained by rectilinearly connecting the notable point A and the corresponding point B; and a high-resolution pixel value calculating section configured to calculate a pixel value of a high-resolution image from the notable point A, the corresponding point B and the new corresponding point C. | 03-03-2011 |
20110058746 | IMAGE RETRIEVAL APPARATUS, IMAGE RETRIEVAL METHOD, AND STORAGE MEDIUM - An image retrieval apparatus includes a designation unit configured to designate a query area of an image based on a user's designation operation, a display unit configured to display an area where a local feature amount is difficult to be extracted in the query area designated by the designation unit as a feature non-extractable area, and a retrieval unit configured to retrieve, based on a local feature amount extracted from an area which is not displayed as the feature non-extractable area in the query area by the display unit, image feature data with which a local feature amount and the image are associated and which is stored in a storage device. | 03-10-2011 |
20110058747 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER READABLE-MEDIUM - There is provided an image processing apparatus. The image processing apparatus includes: an obtaining unit configured to obtain an image; a generating unit configured to generate a plurality of feature maps for a plurality of features of the image, wherein each of the feature maps corresponds to one of the features of the image; an imaging situation determining unit configured to determine an imaging situation of the image; a weighting unit configured to weight the feature maps in accordance with the imaging situation; and a detector configured to detect a region of interest from the image based on feature distributions of the weighted feature maps. | 03-10-2011 |
20110064312 | IMAGE-BASED GEOREFERENCING - An image-based georeferencing system comprises an image receiver, an image identification processor, a reference feature determiner, and a feature locator. The image receiver is configured for receiving a first image for use in georeferencing. The image comprises digital image information. The system includes a communicative coupling to a georeferenced images database of images. The image identification processor is configured for identifying a second image from the georeferenced images database that correlates to the first image. The system includes a communicative coupling to a geographic location information system. The reference feature determiner is configured for determining a reference feature common to both the second image and the first image. The feature locator is configured for accessing the geographic information system to identify and obtain geographic location information related to the common reference feature. | 03-17-2011 |
20110064313 | METHOD AND APPARATUS FOR FACE DETERMINATION - Provided are a method and an apparatus for processing digital images, and more particularly, a method and an apparatus for face determination, wherein it is determined if a subject is a true subject based on distance information regarding a distance to the subject and face detection information. In an embodiment, the face detecting apparatus is a digital image processing apparatus and includes a digital signal processor for determining if a subject is a true subject based on distance information regarding a distance to the subject and face length information. | 03-17-2011 |
20110064314 | LINE SEGMENT EXTRACTION DEVICE - Provided is a line segment extraction device capable of accurately and rapidly extracting a line segment. A pattern generating means relates an original image to cells of a cellular automaton to generate time-series configuration patterns. A primary detection means detects the movement of a cell in an active state and sets a primary flag according to the configuration patterns generated in time series. This generates time-series primary flag patterns. A secondary detection means detects a cell in which the direction of the primary flag and the direction of the movement thereof are matched to set a secondary flag according to the primary flag patterns generated in time series. A line segment detection means records a line segment marker on a cell in which the secondary flag in the opposite direction is generated, together with the direction. In this way, the line segment is extracted. | 03-17-2011 |
20110069889 | METHOD AND DEVICE FOR THE INVARIANT-AFFINE RECOGNITION OF SHAPES - A method for the recognition of objects in at least one digital image includes: a) simulating from the digital image a plurality of digital rotations and at least two digital tilts different from 1 in order to develop a simulated image for each rotation-tilt pair; and b) applying an algorithm generating values that are invariant in translation, rotation and zoom onto the simulated images in order to determine so-called SIF (scale invariant features) local characteristics used for recognising objects. The SIFT method can be used in step b. | 03-24-2011 |
20110075935 | METHOD TO MEASURE LOCAL IMAGE SIMILARITY BASED ON THE L1 DISTANCE MEASURE - A method of adaptive local image similarity measurement based on the L | 03-31-2011 |
20110081086 | NOISE SUPPRESSION METHOD USING MULTIPLE DIGITAL - A noise suppression method using multiple digital images performs a de-noising process with the multiple digital images. First, a feature weighting procedure and an image feature compensation of a target pixel are performed on each digital image, and then a cross reference is performed on the multiple continuous or similar digital images to suppress noises for the target pixel. | 04-07-2011 |
20110085734 | ROBUST VIDEO RETRIEVAL UTILIZING VIDEO DATA - Techniques for determining if two video signals match by extracting features from a first and second video signal, and cross-correlating the features thereby providing a cross-correlation score at each of a number of time lags, and finally determining the similarity score based on both the cross-correlation scores. | 04-14-2011 |
20110091111 | Multilevel bit-mapped image analysis method - The present invention discloses a multilevel method of bit-mapped image analysis that comprises a whole image data representation via its components—objects of different levels of complexity—hierarchically connected therebetween by spatially-parametrical links. | 04-21-2011 |
20110103697 | INFORMATION PROCESSING APPARATUS, CONTROL METHOD THEREFOR, AND PROGRAM - An information processing apparatus includes: a calculation unit adapted to analyze an image and calculate an intermediate value; a setting unit adapted to set a feature extraction region in the image, using the intermediate value; and an extraction unit adapted to extract a local feature of the feature extraction region, reusing the intermediate value used by the setting unit. | 05-05-2011 |
20110129155 | VIDEO SIGNATURE GENERATION DEVICE AND METHOD, VIDEO SIGNATURE MATCHING DEVICE AND METHOD, AND PROGRAM - A problem of degradation in the accuracy of video matching, which is caused when videos contain video patterns commonly appearing in various videos or video patterns in which features cannot be acquired stably, is solved. In order to solve this problem, a visual feature extraction unit extracts a visual feature to be used for identification of a video based on features of a plurality of pairs of sub-regions in the video, and a confidence value calculation unit calculates a confidence value of the visual feature based on the features of the plurality of pairs of sub-regions. When matching is performed, visual features are compared with each other in consideration of the confidence value. | 06-02-2011 |
20110135204 | METHOD AND APPARATUS FOR ANALYZING NUDITY OF IMAGE USING BODY PART DETECTION MODEL, AND METHOD AND APPARATUS FOR MANAGING IMAGE DATABASE BASED ON NUDITY AND BODY PARTS - A method for analyzing nudity of an image using a body part detection model includes: extracting a skin blob from an image; calculating a first probability value, which indicates a probability of determination on harmfulness of at least one of the image and the skin blob, using a harmfulness detection model; classifying the skin blob as a specific body part using a body part detection model, and calculating a second probability value which indicates a probability of certainty of said classifying; and rating nudity of the image based on the first probability value and the second probability value. | 06-09-2011 |
20110135205 | METHOD AND APPARATUS FOR PROVIDING FACE ANALYSIS SERVICE - The present invention provides a method and apparatus for face analysis service. The method includes a point-designation interface being transmitted to the user client for designating multiple points on an image of the user's face, coordinate information on the multiple points designated on the face image being received, and measured values being determined against the distance ratios or the angles between the predetermined points using the coordinate information. The method is convenient and allows for the objective analysis of a face. | 06-09-2011 |
20110142348 | Signature Derivation for Images - Deriving a fingerprint of an image corresponding to media content involves selecting at least two different regions of the same image, determining a relationship between the two regions, and deriving a fingerprint of the image based on the relationship between the two regions of the image. | 06-16-2011 |
20110142349 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - Methods and apparatuses for detecting a plurality of pixels of interest within an image and identifying luminance values corresponding to a predetermined object. The apparatus for detecting includes a memory configured to store first and second images captured using light of first and second wavelengths, respectively. The apparatus for detecting further includes at least one processor configured to detect a plurality of pixels of interest within the first captured image based on luminance values of the stored first and second captured images. The apparatus for identifying includes a memory configured to store a processed image, and at least one processor configured to determine frequencies of luminance values of the plurality of pixels of interest in the processed image and to determine a range of luminance values corresponding to a predetermined object within the processed image based on the determined frequencies of the luminance values. | 06-16-2011 |
20110142350 | Image Analysis Method And System - A method and system for analyzing an image made up of a plurality of pixels includes identifying a subset of the pixels, and for each identified pixel a local patch of pixels surrounding the identified pixel is defined and the pixels in the local patch are grouped into bins. The local patch is divided into a plurality of sub-patches, and for each sub-patch the method includes determining how many pixels in each sub-patch fall into each of the bins to create an intermediate vector, and the intermediate vectors are concatenated to form a feature vector and describe the local patch. | 06-16-2011 |
20110158539 | SYSTEM AND METHOD FOR EXTRACTING FEATURE DATA OF DYNAMIC OBJECTS - A system and method for extracting feature data of dynamic objects selects sequential N frames of a video file up front, where N is a positive integer, and divides each of the N frames into N*N squares. The system and method further selects any n frames from the N frames, selects any n rows and n columns of the n frames to obtain n*n*n squares, where n is a positive integer. The system and method further extracts feature data from the video file by computing averages and differences for pixel values of the n*n*n squares. | 06-30-2011 |
20110158540 | PATTERN RECOGNITION METHOD AND PATTERN RECOGNITION APPARATUS - A pattern recognition apparatus that recognizes a data attribute of input data calculates correlation values of feature quantities of corresponding local patterns between the input data and dictionary data for each of a plurality of dictionary data prepared for each data attribute, combines, for each data attribute, the calculated correlation values of local patterns of each dictionary datum to acquire a set of correlation values of each data attribute, integrates correlation values included in each set of correlation values of each data attribute to calculate a similarity of the input data for each data attribute, and identifies the data attribute of the input data based on the calculated similarity. | 06-30-2011 |
20110158541 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD AND PROGRAM - An image processing device includes a texture extraction unit to extract a texture component of a G corrected image in which blur or defocus of a structure component of a G image including a G component of an input image is corrected, a mask generation unit to generate a mask image in which the synthesis amount of the texture component of the G corrected image to an R corrected image and a B corrected image is decreased for a region in which at least one of correlation between a variation of the G component and a variation of the R component or correlation between the variation of the G component and a variation of the B component is weak, and a synthesis unit to synthesize the texture component of the G corrected image to the R corrected image and the B corrected image using the mask image. | 06-30-2011 |
20110158542 | DATA CORRECTION APPARATUS AND METHOD - A data correction apparatus which corrects data associated with an image of an object projects vector data obtained by connecting data to be corrected to each other onto a subspace to generate a dimensionally reduced projection vector, and executes dimension restoration processing in which the dimensionality of the projection vector is restored to generate dimensionally restored vector data, thereby generating a plurality of dimensionally restored vector data for each type of fluctuation. The data correction apparatus determines the fluctuation of the object based on the projection vector, integrates the plurality of dimensionally restored vector data with each other based on the determination result, and outputs the integration result as corrected data. | 06-30-2011 |
20110164821 | DESIGNATING CORRIDORS TO PROVIDE ESTIMATES OF STRUCTURES - In particular embodiments, analyzing data includes receiving sensor data generated in response to sensing one or more structures. The structural features of the sensor data are identified. Each structural feature is represented by one or more vectors. A score matrix describing relationships among the vectors is generated. Candidate corridors are identified from at least some of the vectors according to the score matrix. One or more candidate corridors are designated as designated corridors. Each designated corridor comprises an opening defined by at least two structural features. A layout of the structures is generated from the structural features and the designated corridors. | 07-07-2011 |
20110170784 | IMAGE REGISTRATION PROCESSING APPARATUS, REGION EXPANSION PROCESSING APPARATUS, AND IMAGE QUALITY IMPROVEMENT PROCESSING APPARATUS - [Problem]An object of the present invention is to provide an image registration processing apparatus that is capable of performing a robust and high-accuracy registration processing with respect to an entire image between images including multiple motions. | 07-14-2011 |
20110170785 | Image processing apparatus and image processing method - An image processing apparatus includes a face detection processing unit that reduces an image of a frame to be processed to a first level among several reduction levels to generate a reduced image of the frame to be processed, with one of frames included in a moving image as the frame to be processed, and compares the reduced image generated by the reducing unit and the learning data to extract a face image from the reduced image. When the extraction of the face image from the frame to be processed is ended, the face detection processing unit updates the frame to be processed to a next frame subsequent to the frame to be processed and generates a reduced image that is reduced to another level other than reduction levels adjoining the first level. | 07-14-2011 |
20110176733 | IMAGE RECOGNITION METHOD - The present invention provides an image recognition method for recognizing a plurality of objects in an image, wherein each object is composed of a plurality of image segments. The image recognition method includes the steps of: sequentially acquiring every pixel of the image; identifying a start point of a newly detected image segment; recording information of the newly detected image segment pixel-by-pixel from the start point; identifying an end point of the newly detected image segment; recognizing an object to which the newly detected image segment belongs according to the start point and the end point of the newly detected image segment; and identifying an invalid object or a merged object thereby releasing the data space thereof. | 07-21-2011 |
20110182520 | Light Source Detection from Synthesized Objects - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a location relative to an object and a type of a light source that illuminated the object when the image was captured, are described. A method performed by a process executing on a computer system includes identifying an object of interest in a digital image. The method further includes projecting at least a portion of the digital image corresponding to the object of interest onto a three dimensional (3D) model that includes a polygon-mesh corresponding to the object's shape. The method further includes determining one or more properties of a light source that illuminated the object in the digital image at an instant that the image was captured based at least in part on a characteristic of one or more polygons in the 3D model onto which the digital image portion was projected. | 07-28-2011 |
20110182521 | METHOD OF DECODING CODING PATTERN WITH VARIABLE NUMBER OF MISSING DATA SYMBOLS POSITIONED OUTSIDE IMAGING FIELD-OF-VIEW - A method of decoding a coding pattern disposed on or in a substrate. The method comprises the steps of: (a) operatively positioning an optical reader relative to a surface of the substrate; (b) capturing an image of a portion of the coding pattern, the coding pattern comprising a plurality of tags, each tag comprising a plurality n | 07-28-2011 |
20110188758 | IMAGE PROCESSING DEVICE AND METHOD, AND PROGRAM THEREFOR - There is provided an image processing device that specifies a region including a specific subject on each input image of a plurality of continuous frames. The image processing device includes: subject map generation means that, from feature maps corresponding to features of respective pixels of the input image and representing feature amounts in respective regions of the input image, selects one feature amount of any of the feature maps for each pixel so as to thereby generate a subject map representing similarities of the respective regions of the input image to the subject; and subject region specification means that, on the basis of the subject map, specifies a subject region, which is a region most similar to the subject, in the subject map so as to thereby specify a region which includes the subject on the input image. | 08-04-2011 |
20110188759 | Method and System of Pre-Analysis and Automated Classification of Documents - Automatic classification of different types of documents is disclosed. An image of a form or document is captured. The document is assigned to one or more type definitions by identifying one or more objects within the image of the document. A matching model is selected via identification of the document image. In the case of multiple identifications, a profound analysis of the document type is performed—either automatically or manually. An automatic classifier may be trained with document samples of each of a plurality of document classes or document types where the types are known in advance or a system of classes may be formed automatically without a priori information about types of samples. An automatic classifier determines possible features and calculates a range of feature values and possible other feature parameters for each type or class of document. A decision tree, based on rules specified by a user, may be used for classifying documents. Processing, such as optical character recognition (OCR), may be used in the classification process. | 08-04-2011 |
20110194776 | COLLATING DEVICE, COLLATING METHOD, AND PROGRAM - Provided are a collating device, a processing method and a collation program, in which a reference line is extracted from an image and each partial image is moved in a manner that the reference line becomes a predetermined one thereby to correct the image, and in which the corrected image is collated so that an authentication result can be obtained for a short time period without any rotating operation. At first, a reference line extracting unit extracts the center line or the contour line of the image as the reference line. Next, an image correcting unit moves each partial image in parallel thereby to correct the image so that the reference line obtained by the reference line extracting unit becomes a predetermined one. Moreover, an image collating unit collates the image corrected by the image correcting unit and a predetermined image to acquire an authentication result. | 08-11-2011 |
20110200256 | OPTICAL MARK CLASSIFICATION SYSTEM AND METHOD - A system, method, and apparatus for mark recognition in an image of an original document are provided. The method/system takes as input an image of an original document in which at least one designated field is provided for accepting a mark applied by a user (which may or may not have been marked). A region of interest (RoI) is extracted from the image, roughly corresponding to the designated field. A center of gravity (CoG) of the RoI is determined, based on a distribution of black pixels in the RoI. Thereafter, for one or more iterations, the RoI is partitioned into sub-RoIs, based on the determined CoG, where at a subsequent iteration, sub-RoIs generated at the prior iteration serve as the RoI partitioned. Data is extracted from the RoI and sub-RoIs at one or more of the iterations, which allows a representation of the entire RoI to be generated which is useful in classifying the designated field, e.g., as positive (marked) or negative (not marked). | 08-18-2011 |
20110200257 | CHARACTER REGION EXTRACTING APPARATUS AND METHOD USING CHARACTER STROKE WIDTH CALCULATION - A character region extracting apparatus and method which extract a character region through the calculation of character stroke widths are provided. The method includes producing a binary image including a candidate character region from an original image; extracting a character outline from the candidate character region; acquires character outline information for the extracted outline; setting a representative character stroke width and a representative character angle in each of the pixels forming the outline, based on the character outline information; and determining a character existing region in the candidate character region by confirming the ratio of effective representative stroke widths and effective angles as compared to the entire length of the outline. Accordingly, it is possible to efficiently determine whether one or more characters exist in the candidate character region. | 08-18-2011 |
20110206282 | Device, Method, and Program for Image Processing - An image processing device includes a subject region detector that detects a subject region from an input image; a cutting unit that cuts an image of the subject region from the input image; a priority calculator that calculates a priority of each of predetermined regions on a boundary with respect to the subject region, for the input image; a retrieval unit that retrieves a region similar to an image of a predetermined region with a top priority from among the priorities, from the input image after the image of the subject region is cut; a recovery unit that recovers the subject region by copying an image of an adjacent region that is adjacent to the region similar to the predetermined region retrieved by the retrieval unit and includes a region corresponding to a region cut as the subject region, and by pasting the image obtained by copying onto the region that is adjacent to the predetermined region with the top priority and cut as the subject region; and a composition unit that combines the image of the subject region cut by the cutting unit with the image with the subject region recovered by the recovery unit. | 08-25-2011 |
20110216978 | METHOD OF AND APPARATUS FOR CLASSIFYING IMAGE - A method of and an apparatus for classifying an image are disclosed. The method includes: extracting a feature vector from the image, wherein the feature vector comprises a plurality of first features, each of the first features corresponds to a combination of a plurality of first areas arranged in the direction of a first axis, a plurality of second areas arranged in the direction of a second axis intersecting with the direction of the first axis, and one of a plurality of predetermined orientations, and the extracting of each of the first features comprises: acquiring a difference between sums or mean values of pixels of the plurality of first areas in the corresponding combination to obtain a first difference vector in the direction of the first axis, and acquiring a difference between sums or mean values of pixels of the plurality of second areas in the corresponding combination to obtain a second difference vector in the direction of the second axis; acquiring a first projection difference vector and a second projection difference vector projected by the first difference vector and the second difference vector on the line of the predetermined orientation in the corresponding combination; and acquiring the sum of magnitudes of the first projection difference vector and the second projection difference vector as the first feature; and classifying the image according to the extracted feature vector. | 09-08-2011 |
20110229042 | IMAGE SIGNATURE MATCHING DEVICE - An image signature to be used for matching is generated by the following generation method. First, region features are extracted from respective sub-regions of a plurality of pairs of sub-regions in an image, and for each of the pairs of sub-regions, a difference value between the region features of two sub-regions forming a pair is quantized. Then, a collection of elements which are quantization values calculated for the respective pairs of sub-regions is used as an image signature to be used for discriminating the image. The image signature matching device specifies, from an image signature of a first image and an image signature of a second image generated by the above generating method, a margin region of each of the images. The image signature matching device matches the image signature of the first image and the image signature of the second image in such a manner that a weight of an element, in which at least one of two sub-regions forming a pair is included in the specified margin region, is reduced. | 09-22-2011 |
20110235919 | EYE OPEN/CLOSE RECOGNIZING APPARATUS AND RECORDING MEDIUM - A computer ( | 09-29-2011 |
20110235920 | IMAGE SIGNATURE MATCHING DEVICE - An image signature to be used for matching is generated by the following generation method. First, region features are extracted from respective sub-regions of a plurality of pairs of sub-regions in an image, and for each of the pairs of sub-regions, a difference value between the region features of two sub-regions forming a pair is quantized. When performing the quantization, the difference value is quantized to a particular quantization value if an absolute value of the difference value is smaller than a predetermined value. Then, a collection of elements which are quantization values calculated for the respective pairs of sub-regions is used as an image signature to be used for discriminating the image. An image signature matching device matches an image signature of a first image and an image signature of a second image, generated by the above-described generation method, in such a manner that a weight of an element having the particular quantization value is reduced. | 09-29-2011 |
20110243453 | Information processing apparatus, information processing method, and program - There is provided an information processing apparatus including an analysis section which analyzes, based on image information extracted from image data, a theme per image data group including a plurality of pieces of the image data, and a selection section which selects a combination of predetermined processing which is stored in association with the theme and the image data group based on the theme. | 10-06-2011 |
20110243454 | VEHICLE POSITION RECOGNITION SYSTEM - A vehicle position recognition system calculates an estimated position of a vehicle based on satellite positioning and dead reckoning navigation, and calculates a basic error range in which there is a possibility that the vehicle exists. The system calculates an estimated error amount regarding a directional error factor. The directional error factor is an error factor that tends to cause an error in a specific direction with respect to a vehicle traveling direction. The estimated error amount is an estimated amount of the error that is caused by the directional error factor. The system adjusts the basic error range based on (1) a direction in which the error tends to be caused by the directional error factor and (2) the estimated error amount. | 10-06-2011 |
20110249900 | METHODS AND DEVICES THAT USE AN IMAGE-CAPTURED POINTER FOR SELECTING A PORTION OF A CAPTURED IMAGE - An electronic device includes a camera that is configured to generate a visual data signal that corresponds to dynamically captured graphic content that includes an image and a pointer that is operable to communicate a selection characteristic of the image. A signal processor receives the visual data signal and is operable to identify a portion of the image in the dynamically captured graphic content responsive to the selection characteristic communicated by the pointer. | 10-13-2011 |
20110268362 | PROBE AND IMAGE RECONSTRUCTION METHOD USING PROBE - Provided is a probe capable of effectively performing NIR imaging by optimally arranging input channels and detection channels, and an image reconstruction method using the probe. The probe ( | 11-03-2011 |
20110274356 | IMAGE PATTERN RECOGNITION - Image pattern recognition is described. In accordance with one embodiment, a method for image recognition includes dividing an image into blocks in preparation for separating a region of interest of the image from the remainder of the image. The blocks can be analyzed to determine whether a two dimensional projection of data from one or more blocks has a circular shape. The region of interest can be identified by identifying the blocks with circular shaped projections. | 11-10-2011 |
20110274357 | IMAGE SIGNATURE EXTRACTION DEVICE - The image signature extraction device includes an extraction unit and a generation unit. The extraction unit extracts region features from respective sub-regions in an image in accordance with a plurality of pairs of sub-regions in the image, the pairs of sub-regions including at least one pair of sub-regions in which both a combination of shapes of two sub-regions of the pair and a relative position between the two sub-regions of the pair differ from those of at least one of other pairs of sub-regions. The generation unit generates, based on the extracted region features of the respective sub-regions, an image signature to be used for identifying the image. | 11-10-2011 |
20110274358 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR RECOGNIZING A GESTURE - A method, apparatus and computer program product are provided for recognizing a gesture in which one or more relationships are determined between a plurality of body parts and the gesture is then determined based upon these relationships. Each relationship may be determined by determining an angle associated with at least one joint, determining one or more states of a body part based upon the angle associated with at least one joint, and determining a probability of a body part being in each respective state. The gesture may thereafter be determined based upon the one or more states and the probability associated with each state of the body part. Directions may be provided, such as to an unmanned vehicle, based upon the gesture to, for example, control its taxiing and parking operations. | 11-10-2011 |
20110280486 | ELECTRONIC DEVICE AND METHOD FOR SORTING PICTURES - A system and method for sorting pictures stored in an electronic device receives sorting features of the pictures and a sorting priority sequence of the sorting features set by a user. The pictures are sorted in each of the sorting features according to the sorting priority sequence. If pictures have no sorting features, the pictures are stored in a file of a storage system of the electronic device. The pictures having the same sorting sub-feature of the sorting feature are stored in a picture file. | 11-17-2011 |
20110286670 | IMAGE PROCESSING APPARATUS, PROCESSING METHOD THEREFOR, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - An image processing apparatus extends the edge portion of an image in a prescribed range, detects, from the image, a plurality of feature points that each indicate a setting position of a local region, sets a local region corresponding to each of the feature points in the image on which region extension has been performed, and calculates a local feature amount corresponding to each feature point based on image information in the local region. | 11-24-2011 |
20110293189 | Facial Analysis Techniques - Described herein are techniques for obtaining compact face descriptors and using pose-specific comparisons to deal with different pose combinations for image comparison. | 12-01-2011 |
20110299781 | SCENE CHANGE DETECTION AND HANDLING FOR PREPROCESSING VIDEO WITH OVERLAPPED 3D TRANSFORMS - In one method embodiment, receiving noise-filtered plural blocks of a first frame and noise-filtered plural blocks of a second frame; for each of the plural blocks to be matched, determining whether an indication of closeness in match between the each of the plural blocks exceeds a first threshold; incrementing a counter value each time the first threshold is exceeded for closeness of the block matching of a particular block; determining whether the counter value exceeds a second threshold, the exceeding of the second threshold indicating that a defined quantity of blocks has exceeded the first threshold; and responsive to determining that the counter value exceeds the second threshold, triggering a scene change detection. | 12-08-2011 |
20110299782 | FAST SUBSPACE PROJECTION OF DESCRIPTOR PATCHES FOR IMAGE RECOGNITION - A method for generating a feature descriptor is provided. A set of pre-generated sparse projection vectors is obtained. A scale space for an image is also obtained, where the scale space having a plurality scale levels. A descriptor for a keypoint in the scale space is then generated based on a combination of the sparse projection vectors and sparsely sampled pixel information for a plurality of pixels across the plurality of scale levels. | 12-08-2011 |
20110299783 | Object Detection in an Image - The invention concerns a method of performing, by an image processing device, object detection in an image comprising: performing one or more tests of a test sequence for detection of a first object on pixels values of a plurality of at least partially overlapping sub-regions ( | 12-08-2011 |
20110311144 | RGB/DEPTH CAMERA FOR IMPROVING SPEECH RECOGNITION - A system and method are disclosed for facilitating speech recognition through the processing of visual speech cues. These speech cues may include the position of the lips, tongue and/or teeth during speech. In one embodiment, upon capture of a frame of data by an image capture device, the system identifies a speaker and a location of the speaker. The system then focuses in on the speaker to get a clear image of the speaker's mouth. The system includes a visual speech cues engine which operates to recognize and distinguish sounds based on the captured position of the speaker's lips, tongue and/or teeth. The visual speech cues data may be synchronized with the audio data to ensure the visual speech cues engine is processing image data which corresponds to the correct audio data. | 12-22-2011 |
20110311145 | SYSTEM AND METHOD FOR CLEAN DOCUMENT RECONSTRUCTION FROM ANNOTATED DOCUMENT IMAGES - A computer-implemented method and system for reconstructing a clean document from annotated document images and/or extracting annotations therefrom are provided. The method includes receiving a set of at least two annotated document images into computer memory, selecting a representative image from the set of annotated document images, performing a global alignment on each of the set of annotated document images with respect to the selected representative image, and forming a consensus document image based at least on the aligned annotated document images. A clean document based at least on the consensus document image is then formed which can be used for extracting the annotations. | 12-22-2011 |
20110311146 | ADAPTED PIECEWISE LINEAR PROCESSING DRIVE - A piecewise linear processing device applies different amplification rates according to a general environment and a low luminance environment where much noise exists. The piecewise linear processing device includes a knee point storing unit configured to store a user's default setting value and low luminance setting value; a luminance detecting unit configured to detect a noisy environment to output a current luminance information signal and a maximum luminance information signal; an adaptive knee point supply unit configured to receive the default setting value, the low luminance setting value, the current luminance information signal, and the maximum luminance information signal to supply a adjusted adaptive knee point according to a degree of noise; and a piecewise linear processing unit configured to apply a section amplification rate to an input data on the basis of a region corresponding to the adaptive knee point. | 12-22-2011 |
20120002877 | Non-transitory computer readable storage medium, marker creating apparatus, restoration apparatus, and marker creating method - When creating a marker, an encryption apparatus extracts each pixel value in a region and allows a storing unit to save, as restoration information, the high-order bits of each extracted pixel value. Then, the encryption apparatus creates a marker by changing the high-order bits of the pixel value in a region in which the marker is created and embeds encrypted information in an encrypted region specified by the marker. When decoding the encrypted information, a decoding apparatus detects the marker from a digital image, decodes the encrypted information in the encrypted region specified by the marker, and overwrites bits contained in the restoration information with the high-order bits of the pixel value of the marker. | 01-05-2012 |
20120002878 | IMAGE PROCESSING APPARATUS, METHOD, AND PROGRAM THAT CLASSIFIES DATA OF IMAGES - In an image processing apparatus, a face detection unit | 01-05-2012 |
20120002879 | IMAGE PROCESSING APPARATUS, METHOD OF PROCESSING IMAGE, AND COMPUTER-READABLE RECORDING MEDIUM - An image processing apparatus includes: an area extracting unit that extracts a candidate area of a classification target area in which a pixel value does not correspond to a three-dimensional shape of an imaging target based on pixel values of an intraluminal image acquired by imaging the inside of a lumen or information of a change in pixel values of peripheral pixels; and an area classifying unit that classifies the classification target area out of the candidate area based on the pixel values of the inside of the candidate area, a boundary portion of the candidate area, or a periphery portion of the candidate area. | 01-05-2012 |
20120002880 | IMAGE COMPARISON USING REGIONS - Methods and systems for comparing two digital images are provided. A region of a selected image is extracted and processed. A target image from a plurality of target images is provided, where the region is smaller than the target image. The region is compared with a plurality of regions in the target image, and the region is matched to a target region from the plurality of regions in the target image. | 01-05-2012 |
20120002881 | IMAGE MANAGEMENT DEVICE, IMAGE MANAGEMENT METHOD, PROGRAM, RECORDING MEDIUM, AND INTEGRATED CIRCUIT - An image management device acquires an image group with an image acquisition unit, extracts objects and feature amounts from each image in the image group with an object detection unit, and sorts the objects into relevant clusters with an object sorting unit. Next, a similarity calculation unit calculates a similarity between the feature amounts of each object and each relevant cluster, a co-occurrence information generation unit finds co-occurrence information for each cluster, and then an accuracy calculation unit and an evaluation value calculation unit find an evaluation value for each object with respect to each cluster from the similarity and co-occurrence information. An object priority evaluation unit evaluates the object priority of each object with the evaluation value, and an image priority evaluation unit evaluates the priority of each image from the object priority. | 01-05-2012 |
20120014608 | APPARATUS AND METHOD FOR IMAGE PROCESSING - An image processing apparatus includes: a reducing section reducing an image for which a feature analysis is to be perform at a predetermined reduction ratio; an ROI mask generating section analyzing a feature of a reduced image as the image reduced at the predetermined reduction ratio, and generating an ROI mask as mask information indicating a region of interest as a region to be interested in the reduced image; an ROI mask enlarging section enlarging a size of the ROI mask to a size of the image before being reduced by the reducing section; and an ROI mask updating section analyzing a feature of a region, set as a blank region as a region not to be interested in the ROI mask, of the image before being reduced by the reducing section, and updating the ROI mask by using an analysis result. | 01-19-2012 |
20120014609 | IMAGE SIGNATURE EXTRACTION DEVICE - The image signature extraction device includes an extraction unit and a generation unit. The extraction unit extracts region features from respective sub-regions in an image in accordance with a plurality of pairs of sub-regions in the image, the pairs of sub-regions including at least one pair of sub-regions in which both a combination of shapes of two sub-regions of the pair and relative position between the two sub-regions of the pair differ from those of at least one of other pairs of sub-regions. The generation unit generates an image signature to be used for identifying the image based on the extracted region features of the respective sub-regions, using, for at least one pair of sub-regions, a method different from that used for another pair of sub-regions. | 01-19-2012 |
20120014610 | FACE FEATURE POINT DETECTION DEVICE AND PROGRAM - Detecting with good precision an eye inside corner position and an eye outside corner position as face feature points even when the eye inside corner and/or the eye outside corner portions are obscured by noise. First eyelid profile modeling is performed with a Bezier curve expressed by a fixed control point P | 01-19-2012 |
20120020567 | DATA PROCESSING APPARATUS AND CONTROL METHOD THEREOF - A data processing apparatus that executes determining processing, using a plurality of stages, for determining whether or not a partial image sequentially extracted from an image of each frame of a moving image corresponds to a specific pattern, assigns a plurality of discriminators to each stage such that a plurality of partial images are processed in parallel. The data processing apparatus divides an image into a plurality of regions, and, for the image of each region, calculates a passage rate or accumulated passage rate from a ratio between the number of partial images input to a stage and the number of partial images determined to correspond to the specific pattern. The assignment of the discriminators to each stage is changed based on the passage rate or accumulated passage rate of the image processed immediately of a region to which the partial image extracted from the image being processed belongs. | 01-26-2012 |
20120020568 | IMAGE PROCESSOR AND IMAGE PROCESSING METHOD - An image processor for implementing an image turning operation of turning a photographic image showing a person into an image having a painting effect comprises a face detection part for capturing an image and detecting an image of the face of a person shown in the image so captured, a determination part for determining whether or not the mage of the face of the person detected meets a predetermined criterion, and an image turning operation implementing part for implementing an image turning operation of turning the image into an image having a painting effect based on the result of the determination. When the photographic image showing the person is turned into an image having a painting effect, whether or not the photographic image is turned into an image having a painting effect is determined in consideration of the position and size of the person in the photographic image, as well as orientations of the face and a line of sight of the person. | 01-26-2012 |
20120027305 | APPARATUS TO PROVIDE GUIDE FOR AUGMENTED REALITY OBJECT RECOGNITION AND METHOD THEREOF - A method for providing a guide for augmented reality object recognition includes acquiring image information, analyzing an object corresponding to the image information, and outputting object recognition guide information according to a result of analyzing the object. An apparatus to provide a guide for augmented reality object recognition includes an image acquisition unit to acquire and output image information, and a control unit to analyze an object corresponding to the image information and to output object recognition guide information according to a result of analyzing the object. | 02-02-2012 |
20120027306 | IMAGE SIGNATURE EXTRACTION DEVICE - The image signature extraction device includes an image signature generation unit and an encoding unit. The image signature generation unit extracts region features from respective sub-regions in an image in accordance with a plurality of pairs of sub-regions in the image, the pairs of sub-regions including at least one pair of sub-regions in which both a combination of shapes of two sub-regions of the pair and a relative position between the two sub-regions of the pair differ from those of at least one of other pairs of sub-regions, and based on the extracted region features of the respective sub-regions, generates an image signature to be used for identifying the image. The encoding unit encodes the image signature. | 02-02-2012 |
20120033891 | Methods, Systems, And Computer Program Products For Associating An Image With A Communication Characteristic - Methods, systems, and computer program products for associating an image with a communication characteristic are disclosed. According to one method, a content characteristic of a first image is identified. A communication characteristic of a communication associated with the first image is identified. The content characteristic is associated with the communication characteristic. The content characteristic of the first image is identified in a second image. The communication characteristic is associated with the second image based on the association between the content characteristic and the communication characteristic. | 02-09-2012 |
20120039539 | METHOD AND SYSTEM FOR CLASSIFYING ONE OR MORE IMAGES - A method for determining a predictability of a media entity portion, the method includes: receiving or generating (a) reference media descriptors, and (b) probability estimations of descriptor space representatives given the reference media descriptors; wherein the descriptor space representatives are representative of a set of media entities; and calculating a predictability score of the media entity portion based on at least (a) the probability estimations of the descriptor space representatives given the reference media descriptors, and (b) relationships between the media entity portion descriptors and the descriptor space representatives. A method for processing media streams, the method may include: applying probabilistic non-parametric process on the media stream to locate media portions of interest; and generating metadata indicative of the media portions of interest. | 02-16-2012 |
20120045132 | METHOD AND APPARATUS FOR LOCALIZING AN OBJECT WITHIN AN IMAGE - An improved method and apparatus for localizing objects within an image is disclosed. In one embodiment, the method comprises accessing at least one object model representing visual word distributions of at least one training object within training images, detecting whether an image comprises at least one object based on the at least one object model, identifying at least one region of the image that corresponds with the at least one detected object and is associated with a minimal dissimilarity between the visual word distribution of the at least one detected object and a visual word distribution of the at least one region and coupling the at least one region with indicia of location of the at least one detected object. | 02-23-2012 |
20120045133 | IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS - According to the present invention, there is provided an image processing method that performs a tone correction to obtain a combined image with suitable brightness and contrast when a plurality of image data pieces is combined, and an image processing apparatus that can execute the method. The image processing method includes detecting brightness distribution for each of the plurality of image data pieces, calculating a characteristic amount of each brightness distribution from the brightness distribution, and acquiring a correction amount for a tone correction executed to the combined image data based on the obtained characteristic amount of the brightness distribution. | 02-23-2012 |
20120057794 | IMAGE PROCESSING DEVICE, PROGRAM, AND IMAGE PROCESING METHOD - There is provided an image processing device including a recognition unit configured to recognize a plurality of users being present in an input image captured by an imaging device, an information acquisition unit configured to acquire display information to be displayed in association with each user recognized by the recognition unit, and an output image generation unit configured to generate an output image by overlaying the display information acquired by the information acquisition unit on the input image. The output image generation unit may determine which of first display information associated with a first user and second display information associated with a second user is to be overlaid on a front side on the basis of a parameter corresponding to a distance of each user from the imaging device. | 03-08-2012 |
20120057795 | IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS, IMAGE READING APPARATUS, AND IMAGE PROCESSING METHOD - An image processing apparatus includes an image area extracting section for identifying and extracting, on the basis of inputted image data, an image area within the document where an image is present. The image area extracting section includes an image area detecting section for comparing a pixel value of each part of an image of the inputted image data with a threshold value so as to detect, as the image area, an area where a pixel value is larger than the threshold value. The image area extracting section further includes a judging section for judging a type of the inputted image data, and a threshold value changing section for changing the threshold value used in the image area detecting section to one suitable for the type of the inputted image data in accordance with the type judged by the judging section. | 03-08-2012 |
20120070086 | INFORMATION READING APPARATUS AND STORAGE MEDIUM - An information reading apparatus that reads information from an image. The apparatus includes: an acquiring module, a first processing module, a second processing module, and an adding module. The acquiring module acquires a whole image containing plural reading subjects. The first processing module performs processing of extracting particular patterns from the respective reading subjects by performing a pattern analysis on the whole image to identify the reading subjects contained in the whole image. The second processing module performs processing of reading pieces of information from the respective reading subjects and recognizing the read-out pieces of information by analyzing the respective particular patterns extracted by the first processing module. The adding module adds current processing statuses for the respective reading subjects contained in the whole image based on at least one of sets of processing results of the first processing module and the second processing module. | 03-22-2012 |
20120070087 | Real-Time Face Tracking in a Digital Image Acquisition Device - An image processing apparatus for tracking faces in an image stream iteratively receives an acquired image from the image stream including one or more face regions. The acquired image is sub-sampled at a specified resolution to provide a sub-sampled image. An integral image is then calculated for a least a portion of the sub-sampled image. Fixed size face detection is applied to at least a portion of the integral image to provide a set of candidate face regions. Responsive to the set of candidate face regions produced and any previously detected candidate face regions, the resolution is adjusted for sub-sampling a subsequent acquired image. | 03-22-2012 |
20120076418 | FACE ATTRIBUTE ESTIMATING APPARATUS AND METHOD - To provide a face attribute estimating apparatus capable of determining a face attribute with high precision. A scan region extracting part extracts, as a scan region, a region in which a specific face part can exist from a face region detected by a face detecting part. A region scanning part sets a small region in the scan region extracted by the scan region extracting part and, while scanning the scan region with the small region, sequentially outputs a pixel value in the small region. A pattern similarity calculating part sequentially calculates similarity between the pixel value output from the region scanning part and a specific pattern on the specific face part. A face attribute determining part determines a face attribute by comprehensively determining the similarities sequentially calculated by the pattern similarity calculating part. Therefore, a face attribute can be determined with high precision. | 03-29-2012 |
20120076419 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - An image processing apparatus includes a gradient magnitude calculating unit that calculates a gradient magnitude of each pixel on the basis of pixel values of a target image in which a predetermined target object is imaged; a candidate-edge detecting unit that detects contour-candidate edge positions on the basis of the gradient magnitude of each pixel; a reference-range setting unit that sets a reference range, which is to be referred to when a contour edge position is selected from among the contour-candidate edge positions, on the basis of the gradient magnitude of each pixel; and a contour-edge selecting unit that selects, as the contour edge position, one of the contour-candidate edge positions in the reference range. | 03-29-2012 |
20120082383 | PROJECTING PATTERNS FOR HIGH RESOLUTION TEXTURE EXTRACTION - Camera-based texture extraction in Augmented Reality (AR) systems is enhanced by manipulating projected patterns. One or more fine line patterns are projected onto a textured surface, a Moiré interference pattern measured, and different properties of the projected pattern(s) adjusted until the Moiré interference pattern measurements indicate that a similar texture pattern to that of the three dimensional target is being projected. Thereby, the target texture may be more closely matched even as sub-pixel resolutions, variable lighting conditions, and/or complicated geometries. | 04-05-2012 |
20120082384 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - A feature point detection unit ( | 04-05-2012 |
20120093418 | METHOD, TERMINAL, AND COMPUTER-READABLE RECORDING MEDIUM FOR TRIMMING A PIECE OF IMAGE CONTENT - The present invention relates to a method for applying a trimming operation to image. The method includes the steps of: detecting person and object; calculating area of face region and area of detected object and calculating distance between center of face region and that of image and distance between center of detected object and that thereof; and applying trimming operation to the object if area of detected object is by over a first prefixed percent larger than that of face, and applying trimming operation to the object if distance between center of detected object and that of image is a second prefixed value or less and distance between center of face and that of image is by over a third prefixed value larger than distance between center of detected object and that thereof. | 04-19-2012 |
20120106847 | SYSTEMS AND METHODS TO IMPROVE FEATURE GENERATION IN OBJECT RECOGNITION - Present embodiments contemplate systems, apparatus, and methods to improve feature generation for object recognition. Particularly, present embodiments contemplate excluding and/or modifying portions of images corresponding to dispersed pixel distributions. By excluding and/or modifying these regions within the feature generation process, fewer unfavorable features are generated and computation resources may be more efficiently employed. | 05-03-2012 |
20120106848 | System And Method For Assessing Photgrapher Competence - A method for automatically assessing the competence of a photographer includes assigning a competency level to the photographer based on a statistical comparison of image features between a collection of the photographer's images and a collection of high competency images. Service and product offerings can be tailored to the photographer based on the competency level assigned by the statistical comparison. | 05-03-2012 |
20120106849 | INFORMATION PROCESSING APPARATUS, PROCESSING METHOD THEREFOR, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM - An image processing apparatus acquires an image; sets a plurality of partial regions for the acquired image, and acquiring an image feature amount including a plurality of frequency components from each of the partial regions; compares the acquired image feature amount with an image feature amount of a background model which holds, for each of the partial regions, an image feature amount of an image as a background; updates, based on the comparison result, each of a plurality of frequency components included in the image feature amount held in the background model using the acquired image feature amount by a degree according to each of the frequency components; and detects, using the background model updated in the updating, for each of the partial regions, a region where a target object to be detected exists. | 05-03-2012 |
20120106850 | COMPUTATION OF INTRINSIC PERCEPTUAL SALIENCY IN VISUAL ENVIRONMENTS, AND APPLICATIONS - Detection of image salience in a visual display of an image. | 05-03-2012 |
20120114250 | METHOD AND SYSTEM FOR DETECTING MULTI-VIEW HUMAN FACE - Disclosed are a system and a method for detecting a multi-view human face. The system comprises an input device configured to input image data; a hybrid classifier including a non-human-face rejection classifier configured to roughly detect non-human-face image data and plural angle tag classifiers configured to add an angle tag into the image data having a human face; and plural cascade angle classifiers. Each of the plural cascade angle classifiers corresponds to a human face angle. One of the plural cascade angle classifiers receives the image data with the angle tag output from the corresponding angle tag classifier, and further detects whether the received image data with the angle tag includes the human face. | 05-10-2012 |
20120114251 | 3D Object Recognition - A method, device, system, and computer program for object recognition of a 3D object of a certain object class using a statistical shape model for recovering 3D shapes from a 2D representation of the 3D object and comparing the recovered 3D shape with known 3D to 2D representations of at least one object of the object class. | 05-10-2012 |
20120121185 | Calibrating Vision Systems - Methods, systems, and computer program calibrate a vision system. An image of a human gesture is received that frames a display device. A boundary defined by the human gesture is computed, and gesture area defined by the boundary is also computed. The gesture area is then mapped to pixels in the display device. | 05-17-2012 |
20120121186 | EXTRACTING STEP AND REPEAT DATA - A method for extracting step and repeat data from a halftone printing job ( | 05-17-2012 |
20120121187 | MOBILE TERMINAL AND METADATA SETTING METHOD THEREOF - A mobile terminal and metadata setting method thereof are disclosed, by which metadata of various types can be set. The present invention includes displaying an image including at least one object, selecting a specific object from the at least one object, extracting the specific object from the image, setting the metadata for the extracted specific object, and storing the metadata set for the specific object and an image including the specific object. | 05-17-2012 |
20120128255 | PART DETECTION APPARATUS, PART DETECTION METHOD, AND PROGRAM - The present disclosure provides a part detection apparatus including, a part detection block configured to detect a location of a plurality of parts making up a subject from an input image, and a part-in-attention estimation block configured, if a location of a part in attention has not been detected by the part detection block, to estimate the location of a part in attention on the basis of the location of a part detected by the part detection block and information about a locational relation with the detected location of a part being used as reference. | 05-24-2012 |
20120134593 | METHOD AND SYSTEM FOR IMAGE-BASED IDENTIFICATION - The present invention may provide a method for image-based identification. The method may include providing a digital photo of an unidentified item; transmitting, over a network, the digital photo to an identification service; in response to transmitting the digital photo, receiving, over the network, item information from the identification service, wherein the item information includes textual identification information about the item; and displaying the textual identification information. | 05-31-2012 |
20120134594 | DETERMINING A VISUAL BALANCE OF AN IMAGE - A method for determining with a physical image processing device a visual balance of an image includes assigning a visual weight point to each of a plurality of visual elements within the image with the image processing device, each visual weight point having a weight value based on visual properties associated with the visual element, and determining the visual balance of the image with the image processing device by measuring a vector value at a center of the composition, the vector value being based on a distance of each visual weight point from the center and the weight value associated with each visual weight point. | 05-31-2012 |
20120134595 | METHOD AND APPARATUS FOR PROVIDING AN IMAGE FOR DISPLAY - At least one region of interest within an image is determined, step | 05-31-2012 |
20120141033 | IMAGE PROCESSING DEVICE AND RECORDING MEDIUM STORING IMAGE PROCESSING PROGRAM - An image processing device includes a storage unit that stores dictionary information; a generating unit that extracts, from an input image, a plurality of characteristic point candidates, and generates a plurality of combinations that each include a plurality of characteristic point candidates; a removing unit that removes, for each of the combinations, at least one characteristic point candidate based on at least one of the dictionary information and information obtained by analyzing the input image; and a determining unit that acquires, for each of the combinations, results of matching the dictionary information with the combination of which the at least one characteristic point candidate has been removed, selects a combination of characteristic point candidates based on the acquired matching results, and determines, as the characteristic points, the plurality of characteristic point candidates included in the selected combination. | 06-07-2012 |
20120148160 | LANDMARK LOCALIZATION FOR FACIAL IMAGERY - A process and system for facial landmark detection of a face in a scene of an image includes determining face dimensions from the image, identifying regions of search for one or more facial landmarks using the face dimensions, and running a cascaded classifier and a strong classifier tailored to detect different types of facial landmarks to determine one or more respective locations of the facial landmarks. According to another example embodiment, the facial landmarks are used for face mining or face recognition, and the cascaded classifier is performed using a multi-staged AdaBoost classifier, where detections from multiple stages are utilized to enable the best location of the landmark. According to another example embodiment, the strong classifier is a support vector machine (SVM) classifier with input features processed by a principal component analysis (PCA) of the landmark subimage. | 06-14-2012 |
20120148161 | APPARATUS FOR CONTROLLING FACIAL EXPRESSION OF VIRTUAL HUMAN USING HETEROGENEOUS DATA AND METHOD THEREOF - Disclosed are an apparatus for controlling facial expression of a virtual human using heterogeneous information and a method using the same. The apparatus for controlling expression of a virtual human using heterogeneous information includes: an extraction module extracting feature data from input image data and sentence or voice data; a DB construction module classifying the extracted feature data into a set of emotional expressions and a emotional expression category by using a set of pre-constructed index data on heterogeneous data; a recognition module transferring the classified emotional expression category; and a viewing module viewing the images and the sentence or voice of the virtual human according to the emotional expression category. By this configuration, the exemplary embodiment of the present invention can delicately express emotion of a virtual human and increase recognition for emotional classification accordingly. | 06-14-2012 |
20120148162 | JOINT SEMANTIC SEGMENTATION OF IMAGES AND SCAN DATA - Systems, methods, and apparatus are described that that increase computer vision analysis in the field of semantic segmentation. With images accompanied by scan data, both two-dimensional and three-dimensional image information is employed for joint segmentation. Through the established correspondence between image data and scan data, two-dimensional and three-dimensional information respectively associated therewith is integrated. Using trained random forest classifiers, the probability of each pixel in images belonging to different object classes is predicted. With the predicted probability, optimization of the labeling of images and scan data is performed by integrating multiples cues in the markov random field. | 06-14-2012 |
20120155775 | WALKING ROBOT AND SIMULTANEOUS LOCALIZATION AND MAPPING METHOD THEREOF - A walking robot and a simultaneous localization and mapping method thereof in which odometry data acquired during movement of the walking robot are applied to image-based SLAM technology so as to improve accuracy and convergence of localization of the walking robot. The simultaneous localization and mapping method includes acquiring image data of a space about which the walking robot walks and rotational angle data of rotary joints relating to walking of the walking robot, calculating odometry data using kinematic data of respective links constituting the walking robot and the rotational angle data, and localizing the walking robot and mapping the space about which the walking robot walks using the image data and the odometry data. | 06-21-2012 |
20120163719 | Multilevel Image Analysis - Disclosed is a method of bit-mapped image analysis that comprises a whole image data representation via its component objects. The objects are assigned to different levels of complexity. The objects may be hierarchically connected by spatially-parametrical links. The method comprises preliminarily generating a classifier of image objects consisting of one or more levels differing in complexity; parsing the image into objects; attaching each object to one or more predetermined levels; establishing hierarchical links between objects of different levels; establishing links between objects within the same level; and performing an object feature analysis. Object feature analysis comprises generating and examining a hypothesis about object features and correcting the concerned object's features of the same and other levels in response to results of hypothesis examination. Object feature analysis may also comprise execution of a recursive X-Y cut within the same level. | 06-28-2012 |
20120163720 | IMAGE PROCESSING APPARATUS AND METHOD THEREOF - A specifying unit specifies a pixel value at a pixel position of a reference image to a pixel of a sample enlarged image at a position relative to a pixel position of the reference image as an initial pixel value. A selecting unit selects a target pixel from pixels other than pixels having the pixel values specified therefor including the pixels having the initial pixel values are set in the sample enlarged image. An allocating unit configured to allocate the pixel value of the pixel at a similar region position of the reference image to the pixel value of the target value in the sample enlarged image when a searching unit searches the similar region position similar to a pixel value pattern including a set of already specified pixels in a spatial neighborhood of the target pixel from the reference image is provided. | 06-28-2012 |
20120170848 | ARTIFACT MANAGEMENT IN ROTATIONAL IMAGING - A method for artifact management in a rotational imaging system is presented. The method includes the steps of acquiring data employing a helical scanning pattern over N revolutions, where N is greater than 1, and detecting at least one artifact in the acquired data of each revolution. The method further includes segmenting the data acquired over N revolutions into N-1 data frames each bounded by at least one of the at least one artifacts. | 07-05-2012 |
20120170849 | IMAGE PROCESSING APPARATUS AND COMPUTER-READABLE RECORDING MEDIUM - An image processing apparatus includes: an isolated point detecting unit that detects isolated points in image data; a line-shaped region extracting unit that extracts line-shaped regions in the image data, as character line candidate regions; an isolated point type determining unit that determines a representative pixel of each isolated point in each line-shaped region to be a pixel of interest, determines discontinuity of each line-shaped region around the pixel of interest for each isolated point, determines an isolated point determined to have discontinuity to be a true isolated point, and determines an isolated point determined to have no discontinuity to be a pseudo isolated point; and a halftone-dot region determining unit that determines a halftone-dot region, based on isolated point type determination results for the respective isolated points detected by the isolated point detecting unit. | 07-05-2012 |
20120170850 | SYSTEM AND METHOD FOR IMAGE REGISTRATION BASED ON VARIABLE REGION OF INTEREST - An image registration system for aligning first and second images. The novel system includes a first system for extracting a region of interest (ROI) from each image and a second system for coarsely aligning the regions of interest. The first system determines the size and location of the ROI based on the number of features contained within the region. The size of the ROI is enlarged until a number of features contained in the ROI is larger than a predetermined lower bound or until the size is greater than a predetermined upper bound. The second system computes a cross-correlation on the regions of interest using a plurality of transforms to find a coarse alignment transform having a highest correlation. The image registration system may also include a third system for performing sub-pixel alignment on the regions of interest. | 07-05-2012 |
20120183224 | INTEREST POINT DETECTION - Interest points are markers anchored to a specific position in a digital image of an object. They are mathematically extracted in such a way that, in another image of the object, they will appear in the same position on the object, even though the object may be presented at a different position in the image, a different orientation, a different distance or under different lighting conditions. Methods are disclosed that are susceptible to implementation in hardware and corresponding hardware circuits are described. | 07-19-2012 |
20120183225 | ROUGH WAVELET GRANULAR SPACE AND CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING IMAGE - Shift-invariant wavelet transform with properly selected wavelet base and decomposition level(s), is used to characterize rough-wavelet granules producing wavelet granulation of a feature space for a multispectral image such as a remote sensing image. Through the use of the granulated feature space contextual information in time and/or frequency domains are analyzed individually or in combination. Neighborhood rough sets (NRS) are employed in the selection of a subset of granulated features that further explore the local and/or contextual information from neighbor granules. | 07-19-2012 |
20120183226 | DATA CAPTURE FROM MULTI-PAGE DOCUMENTS - A method for processing a batch of scanned images is provided. The method comprises processing the scanned images into documents. For documents comprising multiple pages, the method maintains a page-based coordinate system to specify a location of structures within a page and joins the pages to form a multi-page sheet having a sheet-based coordinate system to specify a location of structures within the multi-page sheet. Data may be extracted from each document, such operation comprising a page mode wherein structures are detected on individual pages using the page-based coordinate system and a document mode wherein structures are detected within the entire document using the sheet-based coordinate system. | 07-19-2012 |
20120189208 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, IMAGE PROCESSING PROGRAM, AND STORAGE MEDIUM - An image processing apparatus ( | 07-26-2012 |
20120195506 | REGIONAL INFORMATION EXTRACTION METHOD, REGION INFORMATION OUTPUT METHOD AND APPARATUS FOR THE SAME - Provided are a regional information extraction method, a regional information output method, and an apparatus for the same. The regional information output method includes obtaining a regional image through the processing unit, transmitting the regional image to a server through the transmitting/receiving unit, receiving regional information on a geographical position that a regional image feature extracted from the regional image represents through the transmitting/receiving unit, and outputting the regional information through the output unit, wherein the geographical position represents one feature matching to the regional image feature, which is selected from a plurality of features representing a plurality of regional images. | 08-02-2012 |
20120195507 | MICROBEAD AUTOMATIC RECOGNITION METHOD AND MICROBEAD - A microbead automatic recognition method includes the steps of: acquiring an image of a circular surface of a cylindrical microbead having a recognition pattern created on the circular surface and a plurality of reference points also created on the circular surface; and acquiring information on the rear/front and/or orientation of the cylindrical microbead from the acquired image on the basis of the positions of the reference points. | 08-02-2012 |
20120201464 | COMPUTER READABLE MEDIUM, IMAGE PROCESSING APPARATUS, AND IMAGE PROCESSING METHOD - A computer readable medium stores a program causing a computer to execute a process for image processing. The process includes: calculating, on the basis of image feature information of a plurality of image areas each set with a classification information item, a probability distribution of the image feature information for each classification information item; acquiring a target image; calculating an evaluation value of each of pixels included in the target image relating to a specified classification information item, on the basis of the image feature information of an image area including the pixel and the probability distribution of the image feature information calculated for the specified classification information item; and extracting, from the target image, an image area relating to the specified classification information item, on the basis of the evaluation value calculated for each of the pixels included in the target image. | 08-09-2012 |
20120201465 | IMAGE PROCESSING APPARATUS - An image processing apparatus may include a condition setting unit that sets a specified image capturing time, a specified image capturing location, and specified image capturing composition, an image capturing time determination unit that extracts image data from among a plurality of image data based on additional information included in the image data, an image capturing location determination unit that extracts the image data from among the plurality of image data based on the additional information, a composition determination unit that extracts the image data from among the plurality of image data based on the additional information, and an order setting unit that generates information indicating order of the image data consistent with given conditions based on the additional information for the image data extracted by all of the image capturing time determination unit, the image capturing location determination unit, and the composition determination unit. | 08-09-2012 |
20120201466 | ROBUST INTEREST POINT DETECTOR AND DESCRIPTOR - A method for operating on images is described for interest point detection and/or description working under different scales and with different rotations, e.g. for scale-invariant and rotation-invariant interest point detection and/or description. | 08-09-2012 |
20120207395 | MEASURING DEVICE SET AND METHOD FOR DOCUMENTING A MEASUREMENT - A measuring device set ( | 08-16-2012 |
20120219224 | Local Difference Pattern Based Local Background Modeling For Object Detection - Systems and methods for object detection that consider background information are presented. Embodiments of the present invention utilizing a feature called Local Difference Pattern (LDP), which is more discriminative for modeling local background image features. In embodiments, the LDP feature is used to train detection models. In embodiments, the LDP feature may be used in detection to differentiate different image background conditions and adaptively adjust classification to yield higher detection rates. | 08-30-2012 |
20120219225 | REGION-OF-INTEREST EXTRACTION APPARATUS AND METHOD - According to one embodiment, a region-of-interest extraction apparatus includes following units. The acquisition unit acquires a structured document including elements. The first extraction unit extracts block regions including specific elements, from the structured document. The second extraction unit extracts, as a display region, parts of the elements being displayed on a display screen, from the structured document. The third extraction unit extracts a region of interest, in which a user is interested, from the structured document, based on relations between the block regions and the display region. | 08-30-2012 |
20120224773 | REDUNDANT DETECTION FILTERING - Systems and methods are described herein for identifying and filtering redundant database entries associated with a visual search system. An example of a method of managing a database associated with a mobile device described herein includes identifying a captured image; obtaining an external database record from an external database corresponding to an object identified from the captured image; comparing the external database record to a locally stored database record; and locally discarding one of the external database record or the locally stored database record if the comparing indicates overlap between the external database record and the locally stored database record. | 09-06-2012 |
20120230590 | IMAGE PROCESSING APPARATUS, NON-TRANSITORY COMPUTER-READABLE MEDIUM, AND IMAGE PROCESSING METHOD - An image processing apparatus includes a registering unit that registers a first language and a second language different from the first language, a character string extracting unit that extracts one or more character strings from reading information acquired by reading an original, plural feature character string creating sections that create a feature character string of the original on the basis of the one or more character strings extracted by the character string extracting unit, and a switching unit that switches the feature character string creating section used to create the feature character string on the basis of a combination of the registered first language and the registered second language. | 09-13-2012 |
20120230591 | IMAGE RESTORATION SYSTEM, IMAGE RESTORATION METHOD, AND IMAGE RESTORATION PROGRAM - A defect pixel value estimation means estimates a pixel value which each pixel in a defect region as a region to be restored in an image may take, based on the pixel value of pixels in a non-defect region as a region in the image not including the defect region. A patch selection means selects a pair of patches in which a defect patch and a reference patch are most similar to each other from pairs of patches including the defect patch as the image of a region including the defect region and the reference patch as the image of a region not including the defect region. The patch selection means selects a pair of patches in which the image of the defect patch and the image of the reference patch are most similar to each other based on a relationship between the pixel value of the defect region estimated in the defect patch and the pixel value of the corresponding reference patch. An image restoration means restores the defect patch based on the reference patch in the selected pair of patches. | 09-13-2012 |
20120243788 | DYNAMIC RADIAL CONTOUR EXTRACTION BY SPLITTING HOMOGENEOUS AREAS - Systems and methods for extracting a radial contour around a given point in an image includes providing an image including a point about which a radial contour is to be extracted around. A plurality of directions around the point and a plurality of radius lengths for each direction are provided. Local costs are determined for all radius lengths for each direction by comparing texture variances at each radius length with the texture variance at a further radius length. A radius length is determined, using a processor, for each direction based on the accumulated value of the local costs to provide a radial contour. | 09-27-2012 |
20120243789 | FAST IMAGE CLASSIFICATION BY VOCABULARY TREE BASED IMAGE RETRIEVAL - Systems and methods are disclosed to categorize images by detecting local features for each image; applying a tree structure to index local features in the images; and extracting a rank list of candidate images with category tags based on a tree indexing structure to estimate a label of a query image. | 09-27-2012 |
20120251008 | Classification Algorithm Optimization - Classification algorithm optimization is described. In an example, a classification algorithm is optimized by calculating an evaluation sequence for a set of weighted feature functions that orders the feature functions in accordance with a measure of influence on the classification algorithm. Classification thresholds are determined for each step of the evaluation sequence, which indicate whether a classification decision can be made early and the classification algorithm terminated without evaluating further feature functions. In another example, a classifier applies the weighted feature functions to previously unseen data in the order of the evaluation sequence and determines a cumulative value at each step. The cumulative value is compared to the classification thresholds at each step to determine whether a classification decision can be made early without evaluating further feature functions. | 10-04-2012 |
20120251009 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE RECORDING DEVICE - An image processing apparatus includes an approximate-surface calculator that calculates multiple approximate surfaces that each approximate the pixel value of a pixel included in an examination-target region of an image; an approximate-surface selector that selects at least one approximate surface from the approximate surfaces on the basis of the relation between the pixel value of the pixel in the examination-target region and the approximate surfaces; an approximate-region setting unit that sets an approximate region that is approximated by at least the selected one approximate surface; and an abnormal-region detector that detects an abnormal region on the basis of the pixel value of a pixel in the approximate region and the value corresponding to the coordinates of that pixel on at least one approximate surface. | 10-04-2012 |
20120263383 | ROAD PROFILE DEFINING APPARATUS, ROAD PROFILE DEFINING METHOD, AND ROAD PROFILE DEFINING PROGRAM - A road profile defining apparatus includes an image acquisition configured to acquire an image, a lane marking recognition configured to extract from the image a left lane marking located at a left end of one lane painted on a road and a right lane marking located at a right end of the lane, and a road profile determination configured to output gradient information indicating a gradient change of the road based on directions of the left and right lane markings. | 10-18-2012 |
20120269441 | IMAGE QUALITY ASSESSMENT - A computer-implemented system and method for predicting an image quality of an image are disclosed. For an input image, the method includes generating a first descriptor based on semantic content information for the image and generating a second descriptor based on aesthetic features extracted from the image. With a categorizer which has been trained to assign a quality value to an image based on first and second descriptors, a quality value is assigned to the image based on the first and second descriptors and output. | 10-25-2012 |
20120269442 | Method and System for Detecting the Open or Closed State of the Eyes of a Face - Method of detecting the open or closed state of at least one eye of a face, comprising a detection of an eye of a face and associated system. The method comprises a detection of vertical contours of the eye, and a determination of the open or closed state of the eye on the basis of the vertical contours detected. | 10-25-2012 |
20120269443 | METHOD, APPARATUS, AND PROGRAM FOR DETECTING FACIAL CHARACTERISTIC POINTS - First, a face within an image, which is a target of detection, is detected. Detection data of the face is employed to detect eyes which are included in the face. Detection data of the eyes are employed to detect the inner and outer corners of the eyes. Detection data of the inner and outer corners of the eyes is employed to detect characteristic points of the upper and lower eyelids that represent the outline of the eyes. | 10-25-2012 |
20120275705 | Method and System for Sample Image Index Creation and Image Filtering and Search - The present disclosure discloses a method and apparatus for creating a sample image index table, filtering image, and searching image, to improve accuracy of monitoring images. A method for image filtering comprises: establishing a sample image index table; extracting regional characteristics from an image to be searched; clustering the regional characteristics of the image to be searched into corresponding nodes; obtaining a corresponding sample image identification by indexing the sample image index table using node identifications of the nodes of the image to be searched; determining a number of duplicate nodes between the image to be searched and the sample image; obtaining a degree of similarity of the image to be searched based on a number of the nodes of the image to be searched and a number of the nodes of the sample image; and filtering out the image to be searched when a degree of similarity between the image to be searched and the sample image exceeds a similarity threshold. | 11-01-2012 |
20120275706 | Method for Regenerating the Background of Digital Images of a Video Stream - The invention relates to a method for regenerating the background of digital images of a video stream comprising steps consisting in: -setting an initial background image, -cutting the unit images of the video stream into blocks b (i, j, t) and of the background image into corresponding blocks Bo (i, j, t). The method is essentially characterized in that it further includes steps consisting in: -selecting one block Bo of the background image and/or b of the frame image, and •calculating the space correlation thereof, with: •at least one block Bo of the background image at a time (t), and/or at another time (t−a), and/or .at least one block b of the frame image at a time (t), and/or at another time (t−a), and/or -updating the background image according to the calculation of the space correlation. | 11-01-2012 |
20120281921 | IMAGE ALIGNMENT - Disclosed is a method and device for aligning at least two digital images. An embodiment may use frequency-domain transforms of small tiles created from each image to identify substantially similar, “distinguishing” features within each of the images, and then align the images together based on the location of the distinguishing features. To accomplish this, an embodiment may create equal sized tile sub-images for each image. A “key” for each tile may be created by performing a frequency-domain transform calculation on each tile. A information-distance difference between each possible pair of tiles on each image may be calculated to identify distinguishing features. From analysis of the information-distance differences of the pairs of tiles, a subset of tiles with high discrimination metrics in relation to other tiles may be located for each image. The subset of distinguishing tiles for each image may then be compared to locate tiles with substantially similar keys and/or information-distance metrics to other tiles of other images. Once similar tiles are located for each image, the images may be aligned in relation to the identified similar tiles. | 11-08-2012 |
20120288204 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An area where a specific object is captured is extracted as a specific area from the image of a frame of interest, and the evaluation value of the specific area is obtained using a predetermined evaluation formula. It is determined whether the evaluation value of the specific area in a frame preceding the frame of interest has exceeded a predetermined threshold. When it is determined that the evaluation value of the specific area has exceeded the predetermined threshold, the frame of interest is encoded to set the code amount of the specific area in the image of the frame of interest to be smaller than that of the specific area in the image of the frame preceding the frame of interest. | 11-15-2012 |
20120294532 | COLLABORATIVE FEATURE EXTRACTION SYSTEM FOR THREE DIMENSIONAL DATASETS - A collaborative feature extraction system uses crowdsourced feedback to improve its ability to recognize objects in three-dimensional datasets. The system accesses a three-dimensional dataset and presents images showing possible objects to a group of users, along with potential identifiers for the objects. The users provide feedback as to the accuracy of the identifiers, and the system uses the feedback to adjust parameters for candidate identifiers to improve its recognition of three-dimensional assets in future iterations. | 11-22-2012 |
20120294533 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - A face detection processing unit performs a face detection process by rotating an image in increments of a predetermined angle and acquires a rotation angle at which a face is detected. An angle correction unit acquires an angle between the face and a shoulder by pattern matching and corrects the rotation angle of the image. A human-image orientation identification unit identifies a correct orientation of a human image based on the rotation angle. An image-characteristic analysis unit analyzes a frequency distribution and a brightness distribution of a non-human image. A non-human image orientation identification unit identifies the correct orientation of a non-human image based on distribution characteristics of a frequency of brightness with respect to an axis in a predetermined direction. An image-data updating unit incorporates information regarding the correct orientation in the image data. | 11-22-2012 |
20120294534 | GEOMETRIC FEATURE EXTRACTING DEVICE, GEOMETRIC FEATURE EXTRACTING METHOD, STORAGE MEDIUM, THREE-DIMENSIONAL MEASUREMENT APPARATUS, AND OBJECT RECOGNITION APPARATUS - A geometric feature extracting device comprising: first input means for inputting a three-dimensional shape model of a measurement object; generation means for generating two-dimensional parameter planes corresponding to curved surface patches that configure the three-dimensional shape model; first calculation means for calculating normal directions to points on the curved surface patches; holding means for holding the parameter planes and the normal directions in association with each other; second input means for inputting an observation direction used to observe the measurement object from an observation position; selection means for selecting regions in each of which the normal direction and the observation direction satisfy a predetermined angle condition from the parameter planes; and second calculation means for calculating geometric features on three-dimensional shape model corresponding to regions selected by the selection means as geometric features that configure geometric feature regions on the three-dimensional shape model, which are observable from the observation position. | 11-22-2012 |
20120294535 | FACE DETECTION METHOD AND APPARATUS - Image fragments are formed in regions corresponding to circles searched from an input image. In a cascade of homogeneous classifiers, each classifier classifies input vectors corresponding to the image fragments into a face type and a non-face type. This procedure is performed on all images included in an image pyramid and the coordinates of a face detected based on the results of the procedures on all images. | 11-22-2012 |
20120301033 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - An image processing apparatus includes the following elements. A receiving device receives an image. An extracting device extracts regions from the image received by the receiving device. A selecting device selects a region from among the regions extracted by the extracting device in accordance with a predetermined rule. A measuring device measures luminance values of pixels contained in the region selected by the selecting device. An estimating device estimates a function representing a degree of fog in the image received by the receiving device from the luminance values of the pixels measured by the measuring device. An eliminating device eliminates fog from the image received by the receiving device on the basis of the function estimated by the estimating device. | 11-29-2012 |
20120301034 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER READABLE MEDIUM - An image processing apparatus includes the following elements. A receiving device receives an image. An estimating device estimates, for each of pixels within the image received by the receiving device, on the basis of the received image, an amount of fog, which is a difference between a luminance value of the pixel and an original luminance value of the pixel. A measuring device measures, for each of the pixels within the image received by the receiving device, a luminance value of the pixel. A determining device determines a correction target value for luminance values of pixels of a background portion within the image received by the receiving device. A correcting device corrects the luminance value of each of the pixels measured by the measuring device on the basis of the amount of fog estimated by the estimating device and the correction target value determined by the determining device. | 11-29-2012 |
20120308142 | METHOD FOR EYE DETECTION FOR A GIVEN FACE - A method for detection of eye comprises computing an average inter-ocular distance for a given face. The method further comprises, detecting of a skin region of the given face. Furthermore, the method comprises identifying a search region for the given face. The method may also comprise computing an actual inter-ocular distance and computing eye centers of the given face. | 12-06-2012 |
20120314956 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - Out of regions extracted from a frame image, regions assigned the same identification information as that of a region unselected in a past frame immediately before the frame are defined as nonselection regions, and nonselection regions in number equal to or smaller than a predetermined number are selected out of the nonselection regions. | 12-13-2012 |
20120314957 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - There is provided an information processing apparatus including a multi-stage determining unit that includes determinators which each function as a node of an N-level tree structure (N is an integer value of 2 or more) in order to perform determination for classifying a determination target into at least one of a plurality of ranges. Each determinator performs determination of classifying the determination target into any one of two ranges, and the two ranges determined in each determinator include an overlapping portion. The present technology can be applied to an information processing apparatus that classifies data. | 12-13-2012 |
20120321195 | METHOD FOR AUTOMATIC MISMATCH CORRECTION OF IMAGE VOLUMES - A method for automatic mismatch correction is presented. The method includes identifying a feature of interest in a reference image volume and a target image volume. Furthermore, the method includes computing a cost matrix based on one or more pairs of image slices in the reference image volume and the target image volume. The method also includes identifying one or more longest common matching regions in the reference image volume and the target image volume based on the computed cost matrix. In addition, the method includes aligning the reference image volume and the target image volume based on the identified one or more longest common matching regions. A non-transitory computer readable medium including one or more tangible media, where the one or more tangible media include code adapted to perform the method for automatic mismatch correction is also presented. Systems and non-transitory computer readable medium configured to perform the method for automatic mismatch correction of image volumes are also presented. | 12-20-2012 |
20120321196 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING PROGRAM, AND MOBILE TERMINAL APPARATUS - Automatically preparing communications for transmission by a mobile terminal device. In one example, this includes storing contact information including personal contacts and associated address and face image information. A face image is extracted from within a still image content to obtain an extracted face image. The extracted face image is linked to a given personal contact among the personal contacts by finding a match corresponding to the extracted face image among previously extracted face images found in the stored contact information. The given personal contact is correlated to address information using the contact information, and a message is automatically prepared for transmission to the given personal contact using the address information. | 12-20-2012 |
20120321197 | IMAGE PROCESSING APPARATUS, CONTENT DELIVERY SYSTEM, IMAGE PROCESSING METHOD, AND PROGRAM - Disclosed herein is an image processing apparatus including an upper body feature data storage unit ( | 12-20-2012 |
20120328198 | DICTIONARY DATA REGISTRATION APPARATUS FOR IMAGE RECOGNITION, METHOD THEREFOR, AND PROGRAM - A dictionary data registration apparatus includes a dictionary configured to be registered a local feature amount for each region of an image with respect to each of a plurality of categories, an extraction unit configured to extract the local feature amount from a plurality of regions of an input image, a selection unit configured to select a plurality of the local feature amounts for each region according to a distribution of the local feature amounts extracted by the extraction unit from a plurality of regions of a plurality of pieces of input images which belongs to the category with respect to each of the plurality of categories, and a registration unit configured to register the selected plurality of local feature amounts on the dictionary as a local feature amount for each region with respect to the category. | 12-27-2012 |
20130004080 | SYSTEM AND METHOD FOR MEASURING CAMBER ON A SURFACE - The disclosed embodiment relates to methods for measuring camber on a surface. The method preferably comprises receiving, by a computing device, a plurality of images of a surface, identifying, by a computing device, a key image of the surface from the plurality of images, extracting, by a computing device, a portion of the key image including the surface, and analyzing, by a computing device, the extracted portion of the key image to thereby determine the camber on the surface. The disclosed embodiment also relates to a system and computer-readable code that can be used to implement the exemplary methods. | 01-03-2013 |
20130004081 | IMAGE RECOGNITION DEVICE, IMAGE RECOGNIZING METHOD, STORAGE MEDIUM THAT STORES COMPUTER PROGRAM FOR IMAGE RECOGNITION - An image identifying device includes: a setting unit which sets a section having at least one image in a video; a first recognizing unit which calculates a plurality of feature amounts related to at least the one image and which acquires a plurality of identification results corresponding to each of the feature amounts from an identifier which may identify a plurality of objects belonging to a first category; a selecting unit which selects, based on the identification results, a second category of a third category ; and a second recognizing unit which calculates another feature amount related to an image included in another section and acquires another identification result corresponding to the feature amount from another identifier which may identify the objects included in the second category. | 01-03-2013 |
20130004082 | IMAGE PROCESSING DEVICE, METHOD OF CONTROLLING IMAGE PROCESSING DEVICE, AND PROGRAM FOR ENABLING COMPUTER TO EXECUTE SAME METHOD - There is provided an image processing device including a focus area setting section, a depth acquisition section, and a blur processing section. The focus area setting section sets each of a plurality of areas as a focus area, and the each of the plurality of areas is intended to be kept in focus in a captured image of a subject. The depth acquisition section acquires a depth of the subject in relation to each pixel in the image. The blur processing section sets each of the pixels in the image as a target pixel and performs a blur process on the target pixel in accordance with a minimum value of absolute value of each depth difference between depth corresponding to the target pixel and depth corresponding to each of the focus area. | 01-03-2013 |
20130011070 | STUDYING AESTHETICS IN PHOTOGRAPHIC IMAGES USING A COMPUTATIONAL APPROACH - The aesthetic quality of a picture is automatically inferred using visual content as a machine learning problem using, for example, a peer-rated, on-line photo sharing Website as data source. Certain visual features of images are extracted based on the intuition that they can discriminate between aesthetically pleasing and displeasing images. A one-dimensional support vector machine is used to identify features that have noticeable correlation with the community-based aesthetics ratings. Automated classifiers are constructed using the support vector machines and classification trees, with a simple feature selection heuristic being applied to eliminate irrelevant features. Linear regression on polynomial terms of the features is also applied to infer numerical aesthetics ratings. | 01-10-2013 |
20130011071 | METHODS AND APPARATUS TO SPECIFY REGIONS OF INTEREST IN VIDEO FRAMES - Methods and apparatus to specify regions of interest in video frames are disclosed. Example disclosed methods to mark a region in a graphical presentation include selecting a first point located at a substantially central position within the region, selecting a plurality of second points to define a boundary of the region, and comparing a plurality of stored templates with the selected first and second points to identify a first one of the stored templates to represent the region. | 01-10-2013 |
20130016910 | INFORMATION PROCESSING APPARATUS, METADATA SETTING METHOD, AND PROGRAMAANM MURATA; MakotoAACI TokyoAACO JPAAGP MURATA; Makoto Tokyo JPAANM Shibuya; NaokiAACI KanagawaAACO JPAAGP Shibuya; Naoki Kanagawa JPAANM Kurata; MasatomoAACI TokyoAACO JPAAGP Kurata; Masatomo Tokyo JPAANM Sato; KojiAACI TokyoAACO JPAAGP Sato; Koji Tokyo JP - Provided is an information processing apparatus including a specified region detection unit for detecting a specified region specified by a user within a screen during reproduction of a video, a region metadata setting unit for setting region metadata indicating a position and a range of the specified region for each video frame, and a section metadata setting unit for setting section metadata indicating a section corresponding to a video frame for which the region metadata has been set, for each video. | 01-17-2013 |
20130016911 | METHOD FOR CLASSIFYING PROJECTION RECAPTURESAANM Rolland-Neviere; XavierAACI Cesson SevigneAACO FRAAGP Rolland-Neviere; Xavier Cesson Sevigne FRAANM Chupeau; BertrandAACI Cesson Sevigne CedexAACO FRAAGP Chupeau; Bertrand Cesson Sevigne Cedex FRAANM Doerr; GwenaelAACI Cesson Sevigne CedexAACO FRAAGP Doerr; Gwenael Cesson Sevigne Cedex FRAANM Blonde; LaurentAACI Cesson Sevigne CedexAACO FRAAGP Blonde; Laurent Cesson Sevigne Cedex FR - A method for classifying projection recaptures is disclosed. A copy of a video content is classified as recorded from the digital projection of the video content, or as recorded from the projection of the celluloid film print of the video content by an automated method comprising classifying as a function of at least one feature extracted from a digital representation of the copy, among (i) spatial illumination uniformity; (ii) on-screen vertical stability; and (iii) temporal illumination pulse. | 01-17-2013 |
20130022274 | SPECIFYING VALUES BY OCCLUDING A PATTERN ON A TARGET - A mobile platform captures a scene that includes a real world object, wherein the real world object has a non-uniform pattern in a predetermined region. The mobile platform determines an area in an image of the real world object in the scene corresponding to the predetermined region. The mobile platform compares intensity differences between pairs of pixels in the area, with known intensity differences between pairs of pixels in the non-uniform pattern, to identify any portion of the area that differs from a corresponding portion of the predetermined region. The mobile platform then stores in its memory, a value indicative of a location of the any portion relative to the area. The stored value may be used in any application running in the mobile platform. | 01-24-2013 |
20130022275 | SEARCH SUPPORTING SYSTEM, SEARCH SUPPORTING METHOD AND SEARCH SUPPORTING PROGRAM - In a database, product image data is accumulated. A search portion acquires product image data having the image characteristics information that is the same as or similar to the image characteristics information that indicates the characteristics of the image of input image data from the database for the input image data. A search server outputs information on another product that is different from the product corresponding to the product image data together with the product image data acquired by the search portion. | 01-24-2013 |
20130028519 | FEATURE BASED IMAGE REGISTRATION - Example embodiments disclosed herein relate to feature based image registration. Feature based image registration determines correspondence between image features such as points, lines, and contours to align or register a reference or first image and a target or second image. The examples disclosed herein may be used in mobile devices such as cell phones, personal digital assistants, personal computers, cameras, and video recorders. | 01-31-2013 |
20130028520 | IMAGE PROCESSING DEVICE IDENTIFYING ATTRIBUTE OF REGION INCLUDED IN IMAGE - An image processing device performs: preparing image data representing an image, the image including a target region consisting of a plurality of target pixels, each of the plurality of target pixels having a pixel value; classifying each of a plurality of target pixels as one of an object pixel and a background pixel other than the object pixel, the object pixel constituting an object represented in the target region; determining whether or not the target region satisfies a first condition related to a relationship between the object pixel and the background pixel to make a first determination result; and judging whether or not the target region is a letter region representing at least one letter based on the first determination result. | 01-31-2013 |
20130028521 | IMAGE EVALUATION DEVICE, IMAGE EVALUATION METHOD, PROGRAM, INTEGRATED CIRCUIT - A template includes a frame a and a frame b, in each of which an image is to be inserted. An object introduction degree (OI) is associated with a frame set ab, which is a combination of the frames a and b. For a pair of images arranged with respect to the frame set ab, the object introduction degree (OI), which is associated with the frame set ab, is calculated according to a characteristic value of each of the images in the pair of images. The calculated object introduction degree is used as an evaluation value of an arrangement pattern in which the pair of images is arranged with respect to the frame set ab. | 01-31-2013 |
20130039581 | Image Processing Device, Image Processing Method, and Image Processing Program - An image processing device that executes deformation of an image. A candidate area setting unit sets candidate areas, each of which includes a specific image, on a target image used as a target for a deformation process. An exclusion determination unit, when there is a candidate area that partially extends off a cropped image that is clipped from the target image through predetermined cropping, excludes the candidate area, which at least partially extends off the cropped image, from the target for the deformation process. A deformation processing unit performs deformation of an image on the candidate areas other than the excluded candidate areas. | 02-14-2013 |
20130039582 | APPARATUS AND METHOD FOR DETECTING IMAGES WITHIN SPAM - A method is described that includes comparing a characteristic of an image to stored characteristics of spam images. The method also includes generating a signature of the present image. The method further includes comparing the signature of the present image to stored signatures of spam images. The method also includes determining the spam features corresponding to the stored signatures of spam images that match the signature of the present image. | 02-14-2013 |
20130039583 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD, AND COMPUTER PROGRAM FOR CAUSING COMPUTER TO EXECUTE CONTROL METHOD OF IMAGE PROCESSING APPARATUS - Object recognition is executed by using, of feature data classified into a plurality of groups, only feature data belonging to a selected group. Hence, it is unnecessary to compare and refer to all feature data so that object recognition processing can be speeded up. | 02-14-2013 |
20130044957 | METHODS AND APPARATUSES FOR ENCODING AND/OR DECODING MAPPED FEATURES IN AN ELECTRONIC MAP OF A STRUCTURE - Methods, apparatuses and articles of manufacture are provided that may be implemented or used in one or more electronic devices to generate an encoded map feature description corresponding to one or more mapped features of an electronic map of at least a portion of a structure. Methods, apparatuses and articles of manufacture are also provided that may be implemented or used in one or more electronic devices to decode at least a portion of an encoded map feature description. | 02-21-2013 |
20130051678 | Systems and Methods for Performing Facial Detection - Various embodiments are disclosed for detecting facial regions in a plurality of images. In one embodiment, a method comprises assigning at least one of the possible facial regions an assurance factor, forming clusters of possible facial regions based on a connection factor between the facial regions, and determining facial regions from the possible facial regions based on the assurance factor and the clusters of possible facial regions. | 02-28-2013 |
20130051679 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a correction process portion which corrects a correction target region in an input image using an image signal in a region for correction, a detecting portion which detects a specified object region in which a specified type of object exists in the input image, and a setting portion which sets the region for correction based on positions of the correction target region and the specified object region. | 02-28-2013 |
20130051680 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND COMPUTER READABLE RECORDING DEVICE - An image processing device includes: a non-target region detecting unit that detects a region that is not to be examined as a non-target region from an image; a pixel-of-interest region setting unit that sets a pixel-of-interest region in a predetermined area including a pixel-of-interest position in the image; a surrounding region determining unit that determines a surrounding region, which is an area for acquiring information for use in forming a reference plane with respect to the pixel-of-interest position, based on the non-target region; a reference plane forming unit that forms the reference plane based on the information in the surrounding region; and an outlier pixel detecting unit that detects an outlier pixel having a pixel value numerically distant from circumferential values based on a difference between corresponding quantities of the reference plane at each pixel position and of the original image. | 02-28-2013 |
20130058577 | EVENT CLASSIFICATION METHOD FOR RELATED DIGITAL IMAGES - A method for determining an event classification for a set of related digital images, comprising: receiving a set of related digital images; detecting one or more man-made light emitting sources within at least one of the digital images; using a data processor to automatically determine an event classification responsive to analyzing a spatial arrangement of the detected man-made light emitting sources in the one or more digital images; and storing metadata in a processor-accessible memory associating the determined event classification with each of the digital images in the set of digital images. | 03-07-2013 |
20130058578 | SYSTEMS AND METHODS FOR ANALYZING FACIAL EXPRESSIONS, IDENTIFYING INTENT AND TRANSFORMING IMAGES THROUGH REVIEW OF FACIAL EXPRESSIONS - Methods of analyzing a plurality of facial expressions are disclosed that include: identifying a subject person, utilizing the subject person to create an image of a known target, removing at least one distracter expression from the target image to form a revised target image, and reviewing the revised target image with at least one third party participant to form a final target image. Additional methods of analyzing a plurality of facial expressions include: identifying a subject person, utilizing the subject person to create an image of a known target, digitizing the target image, removing at least one distracter expression from the target image to transform the target image to a revised target image, and reviewing the revised target image with at least one third party participant to transform the revised target image to a final target image. Software for implementing contemplated methods include: a set speed function, a pre-test phase function, an instruction phase function, a practice phase function, and a post-test phase function. | 03-07-2013 |
20130058579 | IMAGE INFORMATION PROCESSING APPARATUS - An image information processing apparatus comprising: an extraction unit that extracts an object from a photographed image; a calculation unit that calculates an orientation of the object as exhibited in the image; and a provision unit that provides a tag to the image according to the orientation of the object. | 03-07-2013 |
20130064455 | INFORMATION PROCESSING APPARATUS, CONTROL METHOD FOR INFORMATION PROCESSING APPARATUS AND STORAGE MEDIUM - An information processing apparatus comprising a setting unit configured to set a plurality of local regions on an image; an extraction unit configured to extract feature amounts from the respective local regions; a calculation unit configured to calculate dissimilarities between the local regions based on probability densities for the respective feature amounts; and an integration unit configured to integrate the plurality of local regions as region groups based on the dissimilarities. | 03-14-2013 |
20130064456 | OBJECT CONTROL DEVICE, COMPUTER READABLE STORAGE MEDIUM STORING OBJECT CONTROL PROGRAM, AND OBJECT CONTROL METHOD - An object control device includes an object of interest specifying unit configured to specify an object of interest to obtain position information on the object of interest, an obstacle determining unit configured to determine whether there is an obstacle between the object of interest and the object, and a time measuring unit configured to measure a period after determining that there is the obstacle, and a holding unit configured to hold position information of the object of interest when the period reaches a predetermined period, and an object action control unit configured to control a direction of a part of the object, based on the position information obtained by the object of interest specifying unit before the period reaches the predetermined period, and based on the position information on the object of interest held in the holding unit after the period reaches the predetermined period. | 03-14-2013 |
20130071032 | IMAGE PROCESSING APPARATUS,IMAGE PROCESSING METHOD, AND PROGRAM - Provided is an image processing apparatus including a generation unit configured to generate a background model of a multinomial distribution from an acquired image, and generate a background, and a determination unit configured to determine whether a background with high reliability can be generated from the background model generated by the generation unit. | 03-21-2013 |
20130077867 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND METHOD OF CONTROLLING IMAGE PROCESSING APPARATUS - When the processed pixel value is the last pixel value to be output for a unit region of interest, the apparatus stands by to output this pixel value until all pixels in the unit region of interest are input, and enables output of the pixel value on standby when all the pixels in the unit region of interest have been input. | 03-28-2013 |
20130077868 | DATA PROCESSING APPARATUS, DATA PROCESSING METHOD AND STORAGE MEDIUM - A data processing apparatus obtains an input pixel region contained in image data, inputs a pixel value contained in the input pixel region into an image processor, obtains the image-processed pixel value from the image processor, and outputs an output pixel region. Data of the input pixel region and data of the output pixel region are temporarily stored, and the size of an input area that stores the data of the input pixel region and the size of an output area that stores the data of the output pixel region are set based on the number of pixels in the input pixel region and the number of pixels in the output pixel region. | 03-28-2013 |
20130077869 | IMAGE PROCESSING APPARATUS FOR CONVERTING IMAGE IN CHARACTERISTIC REGION OF ORIGINAL IMAGE INTO IMAGE OF BRUSHSTROKE PATTERNS - An object of the present invention is to obtain an image that is more similar to a real ink-wash painting. An ink-wash painting conversion unit | 03-28-2013 |
20130084013 | SYSTEM AND METHOD FOR SALIENCY MAP GENERATION - A system and a method are disclosed for generating a saliency map of an image. The method includes receiving image data representative of image forming elements of an image and determining saliency values for image forming elements by an iterative method. The iterative, method includes computing a norm of the image data, computing values of deviation from the norm of the image data of the image forming elements, identifying the image forming elements corresponding to the image data having magnitudes of deviation that meet a pre-determined condition, assigning saliency values to the identified image forming elements based on the values of deviation, and repeating the computing the norm and deviation, identifying image forming elements and assigning saliency values using the image data of image forming elements that have no assigned saliency value. A saliency map of the image based on the assigned saliency values. | 04-04-2013 |
20130094762 | SYSTEM AND METHOD FOR IDENTIFYING COMPLEX TOKENS IN AN IMAGE - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, determining log chromaticity representations for the image, clustering the log chromaticity representations as a function of an index, to provide clusters of similar log chromaticity representations and identifying regions of uniform reflectance in the image as a function of the clusters of similar log chromaticity representations. | 04-18-2013 |
20130101219 | IMAGE SELECTION FROM CAPTURED VIDEO SEQUENCE BASED ON SOCIAL COMPONENTS - In one embodiment, a mobile device analyzes frames before and after a particular frame of a real-time video to identify one or more social network objects, and selects one or more frames before and after the particular frame based on social network information for further storage in the mobile device. | 04-25-2013 |
20130101220 | PREFERRED IMAGES FROM CAPTURED VIDEO SEQUENCE - In one embodiment, a computer system identifies a user in one or more frames of a video file, accesses a data store for image attitudinal data associated with the user, ranks the one or more frames based on the image attitudinal data associated with the user, and presents one or more top ranked frames to the user. | 04-25-2013 |
20130101221 | ANOMALY DETECTION IN IMAGES AND VIDEOS - A system, method, and computer program product for detecting anomalies in an image. In an example embodiment the method includes partitioning each image of a set of images into a plurality of image local units. The method further includes clustering all local units in the image set into clusters, and consequently assigning a class label to each local unit based on the clustering results. The local units with identical class labels having at least one substantially related image feature. Further, the method includes assigning a weight to each of the local units based on a variation of the class labels across all images in a set of images. The method further includes performing a clustering over all images in the set by using a distance metric that takes the learned weight of each local unit into account, then determining the images that belong to minorities of the clusters as anomalies. | 04-25-2013 |
20130101222 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND INTEGRATED CIRCUIT - An image processing device preventing the effect of noise from restricting the processing range of the super resolution process. The image processing device classifies each of a plurality of pieces of input pixel data that represent the input image into high-frequency region data or non-high-frequency region data, and generates, as at least part of output pixel data that represents the output image, one or more pieces of output pixel data in correspondence with one or more pieces of input pixel data classified as the high-frequency region data, by using the super resolution process data in accordance with amounts of noise of the one or more pieces of input pixel data. | 04-25-2013 |
20130101223 | IMAGE PROCESSING DEVICE - Provided is an image processing device for associating images with objects appearing in the images, while reducing burden on the user. The image processing device: stores, for each of events, a photographic attribute indicating a photographic condition predicted to be met with respect to an image photographed in the event; stores an object predicted to appear in an image photographed in the event; extracts from a collection of photographed images a photographic attribute that is common among a predetermined number of photographed images in the collection, based on pieces of photography-related information of the respective photographed images; specifies an object stored for an event corresponding to the extracted photographic attribute; and conducts a process on the collection of photographed images to associate each photographed image containing the specified object with the object. | 04-25-2013 |
20130101224 | ATTRIBUTE DETERMINING METHOD, ATTRIBUTE DETERMINING APPARATUS, PROGRAM, RECORDING MEDIUM, AND ATTRIBUTE DETERMINING SYSTEM - The present invention is to provide an attribute determining method, an attribute determining apparatus, a program, a recording medium, and an attribute determining system of high detection accuracy with which an attribute of a person can be determined even in the case where a person is not facing nearly the front. | 04-25-2013 |
20130108164 | Image Recomposition From Face Detection And Facial Features | 05-02-2013 |
20130108165 | Image Recomposition From Face Detection And Facial Features | 05-02-2013 |
20130108166 | Image Recomposition From Face Detection And Facial Features | 05-02-2013 |
20130108167 | Image Recomposition From Face Detection And Facial Features | 05-02-2013 |
20130108168 | Image Recomposition From Face Detection And Facial Features | 05-02-2013 |
20130108169 | Image Recomposition From Face Detection And Facial Features | 05-02-2013 |
20130108170 | Image Recomposition From Face Detection And Facial Features | 05-02-2013 |
20130108171 | Image Recomposition From Face Detection And Facial Features | 05-02-2013 |
20130108172 | Position Estimation Device, Position Estimation Method, And Program | 05-02-2013 |
20130108173 | Video Entity Recognition in Compressed Digital Video Streams | 05-02-2013 |
20130121587 | SYSTEMS AND METHODS FOR LARGE SCALE, HIGH-DIMENSIONAL SEARCHES - Methods and systems for fast, large scale, high-dimensional searches are described. In some embodiments, a method comprises transforming components of a high-dimensional image descriptor into transformed components in a transform domain, allocating one or more bits available within a bit budget to a given transformed component within a first subset of transformed components as a function of a variance of the given transformed component, independently quantizing each transformed component within the first subset of transformed components, generating a compact representation of the high-dimensional image descriptor based, at least in part, on the independently quantized components, and evaluating a nearest neighbor search operation based, at least in part, on the compact representation of the high-dimensional image descriptor. | 05-16-2013 |
20130121588 | METHOD, APPARATUS, AND PROGRAM FOR COMPRESSING IMAGES, AND METHOD, APPARATUS, AND PROGRAM FOR DECOMPRESSING IMAGES - Costs are reduced, by decreasing the number of encoders used to compress images when compressing two or more images at different compression rates. A region of interest is detected within a processing target image, and a region of interest image is generated. A reduced image is generated by reducing the size of the processing target image. The reduced image and the region of interest image are multiplexed in an image space to generate a multiplex image. The multiplex image is compressed to generate compressed image data. | 05-16-2013 |
20130121589 | SYSTEM AND METHOD FOR ENABLING THE USE OF CAPTURED IMAGES THROUGH RECOGNITION - An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects. | 05-16-2013 |
20130121590 | EVENT DETECTION APPARATUS AND EVENT DETECTION METHOD - An event detection apparatus includes an input unit configured to input a plurality of time-sequential images, a first extraction unit configured to extract sets of first image samples according to respective different sample scales from a first time range of the plurality of time-sequential images based on a first scale parameter, a second extraction unit configured to extract sets of second image samples according to respective different sample scales from a second time range of the plurality of time-sequential images based on a second scale parameter, a dissimilarity calculation unit configured to calculate a dissimilarity between the first and second image samples based on the sets of the first and second image samples, and a detection unit configured to detect an event from the plurality of time-sequential images based on the dissimilarity. | 05-16-2013 |
20130121591 | SYSTEMS AND METHODS USING OBSERVED EMOTIONAL DATA - Systems and techniques using observed emotional data are described herein. A sequence of visual observations of a subject can be received during execution of an application. An emotional state of the subject can be determined based on the sequence of visual observations. Execution of the application can be modified from a baseline execution using the emotional state. | 05-16-2013 |
20130121592 | POSITION AND ORIENTATION MEASUREMENT APPARATUS,POSITION AND ORIENTATION MEASUREMENT METHOD, AND STORAGE MEDIUM - An apparatus comprises: extraction means for extracting an occluded region in which illumination irradiated onto the target object is occluded in an obtained two-dimensional image; projection means for projecting a line segment that constitutes a three-dimensional model onto the two-dimensional image based on approximate values of position/orientation of the target object; association means for associating a point that constitutes the projected line segment with a point that constitutes an edge in the two-dimensional image; determination means for determining whether the associated point that constitutes an edge in the two-dimensional image is present within the occluded region; and measurement means for measuring the position/orientation of the target object based on a distance on the two-dimensional image between the point that constitutes the projected line segment and the point that constitutes the edge, the points being associated as the pair, and a determination result. | 05-16-2013 |
20130129222 | METHODS AND APPARATUSES FOR FACILITATING DETECTION OF TEXT WITHIN AN IMAGE - Methods and apparatuses are provided for facilitating detection of text within an image. A method may include calculating an alpha value associated with an image region containing a hypothesized text fragment. The alpha value may be defined as a function of a curved character length distribution, a character width distribution, and an inter-character spacing distribution for the hypothesized text fragment. The method may additionally include calculating a gamma value based at least in part on an interval length distribution determined for the hypothesized text fragment. The method may also include classifying whether the image region is a text-containing region based at least in part on the calculated alpha and gamma values. Corresponding apparatuses are also provided. | 05-23-2013 |
20130129223 | METHOD FOR IMAGE PROCESSING AND AN APPARATUS - The disclosure relates to a method in which one or more local descriptors relating to an interest point of an image are received. A global descriptor is determined for the image on the basis of the one or more local descriptors; and the global descriptor is compressed. The disclosure also relates to an apparatus comprising a processor and a memory including computer program code, and storage medium having stored thereon a computer executable program code for use by an apparatus. | 05-23-2013 |
20130136364 | IMAGE COMBINING DEVICE AND METHOD AND STORAGE MEDIUM STORING IMAGE COMBINING PROGRAM - A device that combines a first image photographed with a first amount of exposure and a second image photographed with a second amount of exposure lower than the first amount of exposure, thereby generating a combined image having a wider dynamic range than a dynamic range for the amounts of exposure of the first and second images, the device includes a motion region extraction unit configured to extract at least one motion region in which an object moving between the first image and the second image is shown; a combining ratio determining unit configured to increase a combining ratio of the second image to the first image for a pixel in a background region outside of the at least one motion region such that the higher a luminance value of a pixel of the first image, the higher the combining ratio. | 05-30-2013 |
20130142432 | METHOD OF TRACKING TARGETS IN VIDEO DATA - A method of tracking targets in video data. At each of a sequence of time steps, a set of weighted probability distribution components is derived. At each time step the following steps are performed. First, a new set of components from the components of the previous time step are derived in accordance with a predefined motion model for the targets. The video at the current time step is then analysed to obtain a set of measurements, and the new set of components is updated using the measurements in accordance with a predefined measurement model. Finally, the set of components derived at each time step are analysed to derive a set of tracks for the targets. | 06-06-2013 |
20130142433 | SYSTEM AND METHOD FOR FINGERPRINTING FOR COMICS - The present disclosure relates to a system and a method for finger printing for comics. A system for searching comics according to the present disclosure includes: a fingerprint database storing fingerprints extracted from comics, a comics fingerprint extraction unit extracting fingerprints configured of at least one of box frames, cuts, and speech bubbles included in input comic images, a fingerprint based candidate group search unit searching candidate groups among comics stored in the fingerprint database using the extracted fingerprints, and a similarity measuring unit measuring similarity between the searched candidate groups and the comic images corresponding to the extracted fingerprints. | 06-06-2013 |
20130142434 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND STORAGE MEDIUM - An information processing apparatus sets a plurality of reference locations of data in information as one reference location pattern and acquires a feature amount obtained from a value of data of one of the plurality of pieces of reference information in one reference location pattern for each of a plurality of reference location patterns and the plurality of pieces of reference information. The apparatus extracts data included in the input information according to each of the plurality of reference location patterns, selects the reference location pattern for classification of the input information from the plurality of reference location patterns based on a value of data included in the extracted input information, and executes classification of the input information by using the feature amount in the selected reference location pattern and data included in the input information at a reference location indicated by the reference location pattern. | 06-06-2013 |
20130142435 | CAMERA SYSTEM AND METHOD FOR TAKING PHOTOGRAPHS THAT CORRESPOND TO USER PREFERENCES - A database of user preferences for a high quality picture is maintained. Preferences may be generated over time by tracking attributes of pictures that the user has deleted or failed to select for storage. When the camera is in preview mode, the camera may automatically capture image data for one or more pictures as a background operation. | 06-06-2013 |
20130148895 | METHODS, APPARATUS, AND ARTICLES OF MANUFACTURE TO MEASURE GEOGRAPHICAL FEATURES USING AN IMAGE OF A GEOGRAPHICAL LOCATION - Methods, apparatus, and articles of manufacture to measure geographical features using an image of a geographical location are disclosed. An example method includes dividing, with a processor, an image of a geographic area of interest into a plurality of geographical zones, the geographical zones being representative of different geographical areas having approximately equal physical areas, measuring, with the processor, a geographical feature represented in the image for corresponding ones of the plurality of geographical zones, storing descriptions for the geographical zones in a computer memory, and storing values representative of the geographical feature of the geographical zones. | 06-13-2013 |
20130148896 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM - An image processing apparatus includes an image acquisition unit that acquires a first image and a second image each of which includes a character string, an extraction unit that extracts feature points included in each of the first image and the second image, a setting unit that sets partial regions including characters which are continuously arranged in an arrangement direction of the character string in each of the first image and the second image, and a specification unit that compares positions of the feature points included in the partial regions set in the first image with positions of the feature points included in the partial regions set in the second image so as to specify the partial regions set in the second image corresponding to the partial regions set in the first image, and specifies corresponding points in each of the specified partial regions. | 06-13-2013 |
20130148897 | METHOD FOR IMAGE PROCESSING AND AN APPARATUS - The disclosure relates to a method comprising receiving an image; | 06-13-2013 |
20130148898 | CLUSTERING OBJECTS DETECTED IN VIDEO - Identification of facial images representing both animate and inanimate objects appearing in media, such as videos, may be performed using clustering. Clusters contain facial images representing the same or similar objects, providing a database for future automated facial image identification to be performed more quickly and easily. Clustering also allows videos or other media to be indexed so that segments that contain a certain object may be found without having to search through the entire length of the media. Clustering involves separating media data into individual frames and filtering for frames with facial images. A digital media processor may then process each facial image, compare it to other facial images, and form clusterizer tracks with the objective of forming a cluster. These newly formed clusters may be compared with previously formed clusters via key faces in order to determine the identity of facial images contained in the clusters. | 06-13-2013 |
20130148899 | METHOD AND APPARATUS FOR RECOGNIZING A CHARACTER BASED ON A PHOTOGRAPHED IMAGE - An apparatus and method for recognizing a character based on a photographed image. The apparatus includes an image determining unit, an image effect unit, a binarizing unit and a character recognizing unit. The image determining unit is configured to select, from an input image, a Region Of Interest (ROI) to be used for image analysis when the input image is input, and to analyse the selected ROI to determine a type of the input image. The image effect unit is configured to apply to the input image, an image effect for distinguishing a character region and a background region in a display screen if the type of the input image indicates that the input image is obtained by photographing a display screen. The binarizing unit is configured to binarize the input image or the output of the image effect unit according to the determined type of the input image. The character recognizing unit is configured to recognize a character from the binarized input image. | 06-13-2013 |
20130148900 | Pose Estimation - In a pose estimation for estimating the pose of an object of pose estimation with respect to a reference surface that serves as a reference for estimating a pose, a data processing device: extracts pose parameters from a binarized image; identifies a combination of pose parameters for which the number of cross surfaces of parameter surfaces that accord with surface parameter formulas, which are numerical formulas for expressing a reference surface, is a maximum; finds a slope weighting for each of cross pixels, which are pixels on each candidate surface and which are pixels within a prescribed range, that is identified based on the angles of the tangent plane at the cross pixel and based on planes formed by each of the axes of parameter space; and identifies the significant candidate surface for which a number, which is the sum of slope weightings, is a maximum, as the actual surface that is the reference surface that actually exists in the image. | 06-13-2013 |
20130156322 | IDENTIFYING TRUNCATED CHARACTER STRINGS - A method includes automatically identifying a screen control in a user interface. Optical character recognition is applied to read a text that is displayed on an image of the screen control. The displayed text is automatically compared to a character string that is designated for the screen control. If part of the character string is not included in the displayed text, the displayed text is identified as truncated text. | 06-20-2013 |
20130156323 | SYSTEMS AND METHODS FOR EFFICIENT FEATURE EXTRACTION ACCURACY USING IMPERFECT EXTRACTORS | 06-20-2013 |
20130156324 | GEOGRAPHICAL LOCATION RENDERING SYSTEM AND METHOD AND COMPUTER READABLE RECORDING MEDIUM - A geographical location rendering method executed in a geographical location rendering system for identifying at least one semantic region is provided. A density clustering is performed on a plurality of user generated contents of respective geographical location name information to generate a plurality of region candidates. A name extraction is performed on the region candidates to extract and confirm a common region name of the region candidates as a name of the semantic region. A region scope of the region candidates is detected as a location scope of the semantic region according to a spatial density analysis. | 06-20-2013 |
20130163878 | APPARATUS AND METHOD FOR RECOGNIZING OBJECTS USING FILTER INFORMATION - An object recognition method using filter information includes acquiring object image information including an object of interest, acquiring filter information for recognizing the object of interest from the object image information, and recognizing the object of interest using the filter information. An object recognition apparatus using filter information including an object information acquiring unit to acquire object image information comprising an object of interest, a filter information input unit to acquire filter information, an output unit to output the image information and the filter information, and a controller to recognize the object of interest in the object image information using the filter information. | 06-27-2013 |
20130163879 | METHOD AND SYSTEM FOR EXTRACTING THREE-DIMENSIONAL INFORMATION - A method of extracting three-dimensional (3D) information from an image of a scene is disclosed. The method comprises: comparing the image with a reference image associated with a reference depth map, so as to identify an occluded region in the scene; analyzing an extent of the occluded region; and based on the extent of the occluded region, extracting 3D information pertaining to an object that occludes the occluded region. In some embodiments the 3D information is extracted, based, at least in part, on parameters of the imaging system that acquires the image. | 06-27-2013 |
20130170754 | PUPIL DETECTION DEVICE AND PUPIL DETECTION METHOD - Disclosed is a pupil detection device capable improving the pupil detection accuracy even if a detection target image is a low-resolution image. In a pupil detection device ( | 07-04-2013 |
20130170755 | SMILE DETECTION SYSTEMS AND METHODS - Systems and methods of smile detection are disclosed. An exemplary method comprises generating a search map ( | 07-04-2013 |
20130177248 | METHOD AND APPARATUS FOR PHOTOGRAPH FINDING - Digital image data including discrete photographic images of a variety of different subjects, times, and so forth, are collected and analyzed to identify specific features in the photographs. In an embodiment of the invention, distinctive markers are distributed to aid in the identification of particular subject matter. Facial recognition may also be employed. The digital image data is maintained in a database and quarried in response to search requests. The search requests include criteria specifying any feature category or other identifying information, such as date, time, and location that each photograph was taken, associated with each photograph. Candidate images are provided for review by requesters, who may select desired images for purchase or downloading. | 07-11-2013 |
20130177249 | Semantic Parsing of Objects in Video - Techniques, systems, and computer program products for parsing objects in a video are provided herein. A method includes producing and storing a plurality of versions of an image of an object derived from a video input, wherein each version of said image has a different resolution of said image; computing an appearance score at each of a plurality of regions on the lowest resolution version of said image for a plurality of semantic attributes with associated parts for said object, said appearance score denoting a probability of each semantic attribute appearing in the region; analyzing increasingly higher resolution versions than the lowest resolution version to compute a resolution context score for each region in the lowest resolution version; and ascertaining an optimized configuration of body parts and associated semantic attributes in the lowest resolution version, said ascertaining utilizing the appearance scores and the resolution context scores. | 07-11-2013 |
20130177250 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus in accordance with an embodiment receives a setting related to a common image processing to be executed on each of a plurality of process target areas; receives a setting of a reference area for defining the plurality of process target areas on an input image; and receives a setting for regularly defining the plurality of process target areas using the reference area as a reference. In accordance with the setting related to the common image processing, image processing is executed on each of the plurality of process target areas, and a result of overall process reflecting the results of image processing of respective ones of the plurality of process target areas is output. | 07-11-2013 |
20130182958 | APPARATUS AND METHOD FOR ANALYZING BODY PART ASSOCIATION - An apparatus and method for analyzing body part association. The apparatus and method may recognize at least one body part from a user image extracted from an observed image, select at least one candidate body part based on association of the at least one body part, and output a user pose skeleton related to the user image based on the selected at least one candidate body part. | 07-18-2013 |
20130182959 | SYSTEMS AND METHODS FOR MOBILE IMAGE CAPTURE AND PROCESSING - In various embodiments, methods, systems, and computer program products for processing digital images captured by a mobile device are disclosed. Myriad features enable and/or facilitate processing of such digital images using a mobile device that would otherwise be technically impossible or impractical, and furthermore address unique challenges presented by images captured using a camera rather than a traditional flat-bed scanner, paper-feed scanner or multifunction peripheral. | 07-18-2013 |
20130182960 | METHOD AND APPARATUS FOR ENCODING GEOMETRY PATTERNS, AND METHOD FOR APPARATUS FOR DECODING GEOMETRY PATTERNS - 3D models often have a large number of small to medium sized connected components, with small numbers of large triangles, often with arbitrary connectivity. The efficiency of compact representation of large multi-component 3D models can be improved by detecting and representing similarities between components thereof, even if the components are not exactly equal. The invention uses displacement maps for encoding two or more different but similar geometry patterns differentially, based on clustering and a cluster representative surface. A method for encoding a plurality of geometry patterns comprises detecting and encoding identical copies of geometrical patterns, detecting and clustering similar geometry patterns, and detecting partial similarity. The detecting partial similarity comprises generating a cluster representative surface, generating for at least one clustered geometry pattern a displacement map, and encoding the common surface and the displacement maps. | 07-18-2013 |
20130188873 | IMAGE PICKUP DEVICE, FLASH IMAGE GENERATING METHOD AND COMPUTER-READABLE MEMORY MEDIUM - When a displacement between a reference frame of a plurality of images acquired by continuous image pickup and a target frame is less than a first threshold indicating that such a frame is not likely to be affected by occlusion, smoothing is performed on an object area through a morphological operation with a normal process amount. Conversely, when a displacement between the reference frame of the plurality of images acquired by continuous image pickup and a target frame is larger than or equal to the first threshold, smoothing is performed with the process amount of morphological operation being increased with respect to the normal process amount. | 07-25-2013 |
20130195361 | IMAGE INDEX GENERATION BASED ON SIMILARITIES OF IMAGE FEATURES - Embodiments of the present application relate to an image index generation method, system, a device, and a computer program product. An image index generation method is provided. The method includes selecting an image included in an image library for which an image index is to be generated, determining at least one target region included in the image, extracting visual features from the determined at least one target region, determining a similarity value of the selected image and image included in the image library based on the extracted visual features, determining image categories to which the images belong to based on the determined similarity values among the images, and assigning category identifiers to the images in accordance with an identifier assignment method, the identifier assignment method assigns the same category identifiers to images belonging to the same image category, and different category identifiers to images belonging to different image categories. | 08-01-2013 |
20130195362 | IMAGE-BASED GEOREFERENCING - An image-based georeferencing system comprises an image receiver, an image identification processor, a reference feature determiner, and a feature locator. The image receiver is configured for receiving a first image for use in georeferencing. The image comprises digital image information. The system includes a communicative coupling to a georeferenced images database of images. The image identification processor is configured for identifying a second image from the georeferenced images database that correlates to the first image. The system includes a communicative coupling to a geographic location information system. The reference feature determiner is configured for determining a reference feature common to both the second image and the first image. The feature locator is configured for accessing the geographic information system to identify and obtain geographic location information related to the common reference feature. | 08-01-2013 |
20130195363 | IMAGE-BASED GEOREFERENCING - A computer-implemented method of providing georeferenced information regarding a location of capture of an image is provided. The method includes receiving a first image at an image-based georeferencing system, the first image comprising digital image information and identifying a cataloged second image that correlates to the first image. The method further includes automatically determining reference features common to both the second image and the first image, accessing geographic location information related to the common reference features, utilizing the geographic location information related to the common features to determine a georeferenced location of capture of the first image and providing the georeferenced location of capture for access by a user of the image-based georeferencing system. | 08-01-2013 |
20130195364 | SITUATION DETERMINING APPARATUS, SITUATION DETERMINING METHOD, SITUATION DETERMINING PROGRAM, ABNORMALITY DETERMINING APPARATUS, ABNORMALITY DETERMINING METHOD, ABNORMALITY DETERMINING PROGRAM, AND CONGESTION ESTIMATING APPARATUS - A congestion estimating apparatus includes an area dividing unit that divides a moving image into partial areas. A movement information determining unit determines whether there is movement, and a person information determining unit determines whether there is a person, in each partial area. A staying determining unit determines a state for each partial area. The staying determining unit determines the state as a movement area in which there is a movement of person when there is movement and there is a person; and determines the state as a noise area when there is movement and there is no person; and determines the state as a staying area in which there is a person who is staying when there is no movement and there is a person; and determines the state as a background area in which there is no person when there is no movement and there no person. | 08-01-2013 |
20130202210 | METHOD FOR HUMAN ACTIVITY PREDICTION FROM STREAMING VIDEOS - A method for human activity prediction from streaming videos includes extracting space-time local features from video streams containing video information related to human activities; and clustering the extracted space-time local features into multiple visual words based on the appearance of the features. Further, the method for the human activity prediction includes computing an activity likelihood value by modeling each activity as an integral histogram of the visual words; and predicting the human activity based on the computed activity likelihood value. | 08-08-2013 |
20130216136 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, STORAGE MEDIUM AND IMAGE PROCESSING SYSTEM - An image processing method includes shooting a subject and an object different from the subject, extracting a characteristic of the object, and converting an image of the subject into a character image according to the extracted characteristic of the object. | 08-22-2013 |
20130223745 | METHODS AND APPARATUS FOR LOCATING TARGET PATTERNS IN AN IMAGE - Methods and apparatus for efficiently locating QR code finder patterns and/or code QR alignment patterns in an image are described. | 08-29-2013 |
20130223746 | SAMPLE BASED TONE MAPPING METHOD FOR HIGH DYNAMIC RANGE IMAGES - The disclosure relates to adjusting intensities of images. The method includes receiving information identifying of a plurality of regions within an image; receiving an intensity adjustment of at least one of the plurality of regions; adjusting the intensities of the at least one plurality of regions based on the received intensity adjustment; interconnecting at least two of the plurality of regions by applying a two-dimensional method; generating intensity adjustments for at least one pixel outside the plurality of regions based on the received intensity adjustment of at least one of the plurality of regions and the interconnection of at least two of the plurality of regions; and applying the generated intensity adjustments to the image. | 08-29-2013 |
20130230253 | SYSTEMS AND METHODS FOR EVALUATING ROBUSTNESS OF SALIENCY PREDICTIONS OF REGIONS IN A SCENE - Systems and methods for evaluating the robustness of objects within a scene or a scene itself. | 09-05-2013 |
20130236104 | Apparatus and Method of Processing an Image - An image processing apparatus processes a center pixel by using a plurality of adjacent pixels included in an M×N region. The image processing apparatus includes a pixel value storage unit for storing first pixel values that correspond to first pixels included in one or more rows including a center row in which the center pixel is disposed, and second pixel values that correspond to second pixels disposed above the first pixels from among the plurality of adjacent pixels; and a pixel processing unit for processing the center pixel, based on the first and second pixel values, wherein the M and N are natural numbers that are equal to or greater than two. | 09-12-2013 |
20130243329 | PARALLEL OBJECT DETECTION METHOD FOR HETEROGENEOUS MULTITHREADED MICROARCHITECTURES - A parallel object detection method for heterogeneous microarchitectures. The method is designed for increasing the throughput of object detection in a computer system that is equipped with an array of cores including a shared memory, a constant memory, and functional units. Latency reduction is achieved through a multilevel parallelization method that exploits fine-grain data-level parallelism using multithreaded SIMD computations, and coarse-grain parallelism by relying on concurrent kernel execution. | 09-19-2013 |
20130243330 | METHOD AND APPARATUS FOR CONSTRUCTING IMAGE BLUR PYRAMID, AND AN IMAGE FEATURE EXTRACTING CIRCUIT - A method and an apparatus for constructing an image blur pyramid, and an image feature extracting circuit are disclosed. The image blur pyramid construction apparatus comprises a first image blur circuit, a second image blur circuit and an image sub-sampler. The first image blur circuit and the second image blur circuit simultaneously generate a first interval and a second interval in the same octave according to an input image, a first filter and a second filter. The dimension of the second filter is greater than that of the first filter. The image sub-sampler couples with the second image blur circuit and down samples the second interval to generate a sub-sample image. | 09-19-2013 |
20130243331 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device includes: a foreground state estimating unit configured to estimate a foreground state of an image using an actual image which is an image to be actually observed; and a visible model updating unit configured to update a background visible model which is visibility of the background of an image and a foreground visible model which is visibility of the foreground using an estimation result of the foreground state. | 09-19-2013 |
20130243332 | Method and System for Estimating an Object of Interest - Method and system for estimating an object of interest are provided. Visual information of a customer's face is obtained. Pupil location information indicative of at least a location of a pupil of an eye of the customer is determined based on the visual information. A field of view of the customer is determined based on the visual information. Then a focal point of the customer is determined based on the pupil location information, the field of view, and a predetermined focus condition. An object of interest of the customer is estimated based on the focal point. Information associated with the object is provided to the customer. | 09-19-2013 |
20130243333 | Fidelity Measurement of Digital Images - There is provided a method of measuring the similarity of parts of digital image files (IF | 09-19-2013 |
20130243334 | System and Method for Image Enhancement and Improvement - A method and system for improving picture quality of images by providing a series of frames of a given region of interest. One embodiment for a method includes: determining the value of each pixel at each location within each frame to form a first array of pixel values for each frame; determining the overall intensity of each frame; determining the product of the overall intensity and the array of pixel values for each frame; determining the sum of the products by adding together the products of the overall frame intensity and first array of pixel values for each frame; determining the average of the sum of products by dividing the sum of products by the number of frames in the series of frames; determining the average value of each pixel at each pixel location for the series of frames to form a second array of average pixel values; determining the average overall frame intensity for the series of frames; determining a second product of the second array of average pixel values and the average overall frame intensity; subtracting the second product from the first product to provide an improved image of the region of interest. Other improvement embodiments are also disclosed. | 09-19-2013 |
20130251266 | IMAGE SEARCH SYSTEM, IMAGE SEARCH APPARATUS, IMAGE SEARCH METHOD AND COMPUTER-READABLE STORAGE MEDIUM - In the present invention, a database has feature information stored in association with flower sample images flower names, leaf sample images, and images indicating attention points for narrowing down the flower names. An extracting section extracts flower sample images having a high similarity to the image of the imaged flower as candidate images by comparing feature information of the image of the imaged flower and feature information stored in the database. A control section causes the image of the imaged flower, the extracted candidate images, flower names corresponding to the candidate images, and attention points for narrowing down the candidate images to be arranged and displayed on a display section, and changes the candidate images to their respective leaf sample images for display. The control section also changes the candidate images to images indicating their respective attention points and causes them to be displayed on the display section. | 09-26-2013 |
20130251267 | IMAGE CREATING DEVICE, IMAGE CREATING METHOD AND RECORDING MEDIUM - An image creating device includes: an acquiring unit, a component creation unit, an extraction unit, a specifying unit, and an image creation unit. The acquiring unit acquires an image. The component creation unit creates a face component image related to main components of a face included in the image acquired by the acquiring unit. The extraction unit extracts feature information from the face included in the image acquired by the acquiring unit. The specifying unit specifies a hair style image, which corresponds to the feature information extracted by the extraction unit, from hair style images which show outlines of hair and are associated with feature information of faces, the feature information being recorded in a recording section. The image creation unit creates a portrait image by using the hair style image specified by the specifying unit and the face component image created by the component creation unit. | 09-26-2013 |
20130251268 | IMAGE RETRIEVAL APPARATUS, IMAGE RETRIEVAL METHOD, AND STORAGE MEDIUM - An image retrieval apparatus includes a designation unit configured to designate a query area of an image based on a user's designation operation, a display unit configured to display an area where a local feature amount is difficult to be extracted in the query area designated by the designation unit as a feature non-extractable area, and a retrieval unit configured to retrieve, based on a local feature amount extracted from an area which is not displayed as the feature non-extractable area in the query area by the display unit, image feature data with which a local feature amount and the image are associated and which is stored in a storage device. | 09-26-2013 |
20130259382 | INCREMENTAL CONTOUR-EXTRACTION SCHEME FOR BINARY IMAGE SEGMENTS - Contours of objects appearing in a digital image are extracted in a plurality of one-directional passes across the digital image. Each pass loads rows or columns of the image into a local memory, in the order they appear in the image, and analyzes them for the presence of portions of the full contour. The portions are then combined to create the full contour. | 10-03-2013 |
20130266226 | TEMPORAL COHERENCE IN CLEAR PATH DETECTION - A method of detecting a clear path of travel. Input images are captured at various time step frames. Clear path probability maps of a current and previous time step frames are generated. A corresponding clear path probability map is generated for the current time step frame derived as a function of the clear path probability map of the previous time step frame and of a corresponding mapping that coherently links the previous time step frame to the current time step frame. A weight-matching map is generated. The probability values of the current time step frame are updated as a function of the corresponding probability map. A current frame probability decision map is generated based on updated probability values of the current time step frame. The clear path in the image of the current time step is identified based on the current frame probability decision map. | 10-10-2013 |
20130272615 | IMAGE PROCESSING DEVICE AND PIXEL INTERPOLATION METHOD - An image processing device that generates a pixel value of a pixel and interpolates the pixel with the pixel value, the image processing device including: a periodicity determining unit that determines whether an area including the pixel is a periodic area; a boundary determining unit that determines whether the pixel belongs to the periodic area or a non-periodic area; a first pixel value generating unit that generates a first pixel value; a second pixel value generating unit that generates a second pixel value; a control unit that determines whether the first pixel value generating unit is to be used or the second pixel value generating unit is to be used, based on determination results of the periodicity determining unit and the boundary determining unit; a pixel value inputting unit that inputs one of the first pixel value and the second pixel value to the pixel. | 10-17-2013 |
20130279809 | Image Enhancement and Repair Using Sample Data from Other Images - A image manipulation technique allows a user to correct an image using samples obtained from other images. These samples may be obtained from one or more other images in a library of images. Matching techniques may identify an image that best matches the image to be corrected, or may aggregate or average multiple images that are identified as containing an area corresponding to the area to be corrected. Identification of the image or images to use as the source of the samples may be automatic or manual. The images may be from a library of images under the control of the user or from a library of images maintained by another person or service provider. Application of the samples to correct the image may be manually or automatically directed. | 10-24-2013 |
20130279810 | VIDEO PROCESSING SYSTEM WITH FACE DETECTION AND METHODS FOR USE THEREWITH - A system for processing a video signal into a processed video signal includes a pattern recognition module for detecting a face in the image sequence, based on coding feedback data, and generating pattern recognition data in response thereto, wherein the pattern recognition data indicates the pattern of interest. A video codec generates the processed video signal and generates the coding feedback data in conjunction with the processing of the image sequence. | 10-24-2013 |
20130279811 | METHOD AND SYSTEM FOR AUTOMATICALLY SELECTING REPRESENTATIVE THUMBNAIL OF PHOTO FOLDER - A method for automatically selecting a representative thumbnail of a photo folder is provided. Firstly, a face detecting step is performed for judging whether plural photo images in the photo folder contain at least one face image. If the at least one face image in the plural photo images is detected, a face recognizing step is performed to acquire at least one facial feature. Then, the facial feature having the highest occurrence number is selected as a target facial feature. Then, the plural photo images including the target facial feature are rated to acquire plural scores. Afterwards, the photo image with the highest score is assigned as the representative thumbnail of the photo folder. | 10-24-2013 |
20130279812 | IMAGE-FILE PROCESSING APPARATUS, PROGRAM, AND IMAGE-FILE PROCESSING METHOD - A storage unit stores an image file that includes a plurality of dummy image data items indicating predetermined dummy images and movement specifying data specifying the movement of an image, and a plurality of display image data items indicating images of characters. A controller replaces each dummy image data item in the image file with a display image data item to generate a new image file and causes a display unit of a terminal apparatus to display the image file. | 10-24-2013 |
20130287302 | IDENTIFICATION OF DUPLICATES WITHIN AN IMAGE SPACE - Implementations for identifying duplicate images in an image space are described. An image space is partitioned into a plurality of coarse clusters based on signatures of the images within the image space. The signatures are determined from compact descriptors of the images. Refined clusters that include one or more images of an individual coarse cluster are created based on pair-wise comparisons of the compact descriptors of images in the coarse cluster, and the refined clusters are identified as sets of duplicate images. The refined clusters are grown by searching in similar coarse clusters for images to add to the refined clusters. | 10-31-2013 |
20130294699 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a storing unit that stores dictionary data including information on a feature area that indicates an area where a feature of a subject appears; and a subject determination unit that compares, when an input image is acquired, the feature area of the dictionary data with an area of the input image corresponding to the feature area of the dictionary data, to determine whether the input image includes the subject. | 11-07-2013 |
20130294700 | SYSTEM AND METHOD FOR IDENTIFICATION OF PRINTED MATTER IN AN IMAGE - A system and method of identifying a printed matter in an image that includes the printed matter by rectifying the image, identifying a series of pre-defined areas in the image relative to a frame or other form in the printed matter in the image, and comparing a characteristic of the pre-defined area in the printed matter in the image, to a characteristic of a corresponding pre-defined area from a sample of printed matters. | 11-07-2013 |
20130301925 | IMAGE PROCESSING DEVICE, DISPLAY CONTROL METHOD AND PROGRAM - There is provided an image processing device including an input image acquisition portion that acquires an input image, a past image acquisition portion that acquires a past image of a photographic subject in the input image, a mode selection portion that selects one of modes, using the input image, from among a plurality of modes including a first mode in which the photographic subject in the past image is overlapped with the photographic subject in the input image and a second mode in which the photographic subject in the past image is arranged side by side with the photographic subject in the input image, and a display control portion that superimposes the past image on the input image in accordance with the mode selected by the mode selection portion. | 11-14-2013 |
20130301926 | COMPUTER VISION BASED TRACKING OF A HAND - A system and method for computer vision based tracking of a hand may include receiving a sequence of images, the images including at least one object having a shape of a hand. A first selected feature is tracked from within the hand shaped object. Shape recognition algorithms are applied at a suspected location of the hand shaped object in an image from the sequence of images to detect a shape of a hand in the image and a second feature from within the detected shape of the hand is then selected and tracked, thereby providing verification and updating of the location of the hand shaped object. | 11-14-2013 |
20130301927 | METHOD OF IDENTIFYING ANOMALIES IN IMAGES - A method of identifying anomalies in images produced using an imaging device ( | 11-14-2013 |
20130308865 | INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - An information processing system includes a business-card described information acquiring unit and an association unit. The business-card described information acquiring unit acquires business-card described information that is to be extracted from an image in which a document identification image with which a document is identifiable and an image of a business card are arranged and that is at least part of information described on the business card. The association unit associates the document identified by the document identification image with the business-card described information. | 11-21-2013 |
20130308866 | METHOD FOR ESTIMATING BLUR DEGREE OF IMAGE AND METHOD FOR EVALUATING IMAGE QUALITY - A method for estimating blur degree of image and a method for evaluating image quality are revealed. First, an input image is transmitted to an image processing device for producing a synthesized blur image including a nonlinear image sensing function according to a pixel intensity distribution parameter of the input image. Next, the image processing device matches the pixel intensity distribution according to the input image and the synthesized blur image for producing a blur degree parameter; By the way, the image processing device further estimating an estimated blur result according to the blur degree parameter. The method for estimating blur degree of image can be further applied to estimate blur distribution for a plurality of regions of interest of a plurality of input images. Thereby, the blur distribution of the input images can be estimated, and thus further evaluating the image quality of the plurality of input images. | 11-21-2013 |
20130308867 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes: a storage configured to store, for a plurality of areas in a target image, attributes and patterns associated with the attributes, each the attributes being assigned to each the plurality of areas, and each the pattern being created from areas having an identical attribute among the attributes; and a processor configured to: obtain an area that is specified in the target image and an attribute that is assigned to the specified area, search the storage for a pattern based on similarity between the pattern and a pattern created from a certain number of areas having the assigned attribute; and search for an area in the target image based on similarity between the area and the certain number of areas in accordance with the searched pattern. | 11-21-2013 |
20130308868 | Semantic Parsing of Objects in Video - Methods, systems, and computer program products for parsing objects in a video are provided herein. A method includes producing a plurality of versions of an image of an object, wherein each version has a different resolution of said image of said object, and computing an appearance score at each of a plurality of regions on the lowest resolution version for at least one semantic attribute for said object. Such a method also includes analyzing one or more other versions to compute a resolution context score for each of the plurality of regions in the lowest resolution version, wherein said resolution context score denotes an extent to which finer spatial structure exists in the one or more others versions than in the lowest resolution version, and determining a configuration of the at least one semantic attribute in the lowest resolution version based on the appearance score and the resolution context score. | 11-21-2013 |
20130315487 | SYSTEMS AND METHODS FOR FEATURE TRACKING - A computer-implemented method for processing, by a graphical processor unit (GPU), a plurality of images of a user. A plurality of features detected by the GPU in a first image of the plurality of images of the user is selected. Each selected feature includes one or more pixels. In a second image of the plurality of images of the user, a search is performed for the plurality of features selected in the first image. A variance is calculated, on the GPU, for each selected feature found in the second image. The variance indicates a degree to which a portion of the second image varies from a corresponding portion of the first image. The calculated variance is stored in a variance file. | 11-28-2013 |
20130315488 | Method of Improving Orientation and Color Balance of Digital Images Using Face Detection Information - A method of generating one or more new spatial and chromatic variation digital images uses an original digitally-acquired image which including a face or portions of a face. A group of pixels that correspond to a face within the original digitally-acquired image is identified. A portion of the original image is selected to include the group of pixels. Values of pixels of one or more new images based on the selected portion are automatically generated, or an option to generate them is provided, in a manner which always includes the face within the one or more new images. Such method may be implemented to automatically establish the correct orientation and color balance of an image. Such method can be implemented as an automated method or a semi automatic method to guide users in viewing, capturing or printing of images. | 11-28-2013 |
20130322761 | System and Method to Determine Feature Candidate Pixels of an Image - A system and method of processing an image is disclosed. A particular method of determining whether a particular pixel of an image is a feature candidate includes receiving data corresponding to a subset of a plurality of pixels surrounding the particular pixel. Each of the plurality of pixels may be from the image. The method further includes excluding the particular pixel from consideration as a feature candidate based on a comparison of values of the data to a comparison value. The comparison value may be based on an attribute value of the particular pixel and a threshold attribute value. | 12-05-2013 |
20130322762 | System and Method to Perform Feature Detection and to Determine a Feature Score - A system and method of processing an image is disclosed. A particular method of determining whether a particular pixel of an image is a feature includes receiving data corresponding to a plurality of pixels (from the image) surrounding the particular pixel. The method further includes determining a set of comparison results, each corresponding to one of the plurality of pixels and indicating a result of comparing an attribute value corresponding to one of the plurality of pixels to a comparison value (based on a particular attribute value of the particular pixel and a threshold value). The method further includes performing a processor-executable instruction that, when executed by a processor, causes the processor to identify a subset of the set of comparison results that indicate the particular pixel is the feature. The identified subset may be a consecutive order of pixels of the plurality of pixels. | 12-05-2013 |
20130322763 | APPARATUS AND METHOD FOR TRACKING OBJECT USING FEATURE DESCRIPTOR, AND APPARATUS AND METHOD FOR REMOVING GARBAGE FEATURE - An apparatus and method for tracking an object using a feature descriptor and an apparatus and method for removing a garbage feature are disclosed. A feature descriptor generation unit generates a plurality of features descriptors indicating information of a plurality of features extracted from an input image from which an object of interest is desired to be detected. A matching unit matches the feature descriptors with feature descriptors of a target object stored in advance, and determines the feature descriptors of the object of interest corresponding to the target object. A feature point removal unit removes feature descriptors that do not meet a geometric comparison condition from among the feature descriptors of the object of interest, and establishes final feature descriptors of the object of interest. | 12-05-2013 |
20130322764 | OBJECT IDENTIFICATION - Methods, devices, and systems for object identification are described herein. One or more method embodiments include converting data associated with an object on a geographical image or map into a number of primitives, fitting the number of primitives to a geometrical shape, and identifying the object based, at least in part, on the geometrical shape to which the number of primitives is fitted. | 12-05-2013 |
20130330007 | CONVERSION OF CAMERA SETTINGS TO REFERENCE PICTURE - A method of using reference photo setting information for taking a photo image of a current framed image comprises displaying a framed image from an image capture device of an electronic device, performing object recognition for the framed image on a display of the electronic device, identifying location information for the electronic device, presenting one or more reference images related to the framed image based on one or more of the identified location information and object recognition, selecting one of the reference images, and using photo setting information used for capturing the selected reference image for capturing the framed image. | 12-12-2013 |
20130330008 | Methods and Systems for Applications for Z-numbers - The current specification covers various new algorithms, methods, and systems for, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, facial, OCR (text recognition), background, relationship, position, pattern, and object), machine learning, training schemes, feature space, clustering, classification, similarity measures, optimization, search engine, ranking, question-answering system, soft (fuzzy or unsharp) boundaries/impreciseness/fuzziness in language, clustering, and recognition, Natural Language Processing (NLP), Computing with Words (CWW), parsing, machine translation, sound and speech recognition, video search and analysis (e.g. tracking), image annotation, geometrical abstraction, image correction, semantic web, context analysis, data reliability (e.g., using Z-number (e.g., “About 45 minutes; Very sure”)), rules engine, control system, autonomous vehicle, system diagnosis, medical diagnosis, biomedicine, large number of images analytics, event prediction, financial forecasting, economics, risk assessment, e-mail management, database management, indexing and join operation, memory management, data compression, and crowd-sourcing (using experts or humans). | 12-12-2013 |
20130343655 | APPARATUS AND METHOD EXTRACTING FEATURE INFORMATION OF A SOURCE IMAGE - Provided is an apparatus and method for extracting feature information of an image using a scale-invariant feature transform (SIFT) algorithm. The apparatus may include a first interface configured to generate one or more tile images from a first source image stored in a particular memory, such as a high-capacity short-term memory, and a feature information extractor configured to receive the generated one or more tile images and to respectively extract feature information from each of the one or more input tile images, where the first interface may be configured to generate the one or more tile images by selectively dividing the first source image into the one or more tile images based on a horizontal resolution of the first source image. | 12-26-2013 |
20130343656 | IMAGE CREATING DEVICE, IMAGE CREATING METHOD AND RECORDING MEDIUM - Disclosed is an image creating device including a first obtaining unit which obtains an image including a face, a first extraction unit which extracts a face component image relating to main components of the face in the image and a direction of the face, a second obtaining unit which obtains a face contour image associated to the face in the image and a second extraction unit which extracts a direction of a face contour in the face contour image. The image creating device further includes a converting unit which converts at least one of the face component image and the face contour image based on the both directions of the face and the face contour and a creating unit which creates a portrait image by using at least one of the face component image and the face contour image being converted by the converting unit. | 12-26-2013 |
20140010458 | APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - An apparatus extracts feature information from an object of image data. The apparatus registers the extracted feature information in a dictionary. The apparatus refers to the dictionary and determines a similarity between feature information registered in the dictionary and the extracted feature information. The apparatus does not use, of feature information to be registered in the dictionary, feature information not satisfying a predetermined evaluation criterion in similarity determination. | 01-09-2014 |
20140010459 | APPARATUS, METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM - An apparatus comprises a determination unit configured to determine, based on a region that satisfies a predetermined condition in an image as a candidate of an output target, whether to set the region as the output target; and a decision unit configured to, in a case where a plurality of regions that satisfy the predetermined condition exists in the image, decide a portion of the image including one or a plurality of regions determined, out of the plurality of regions, as the output target by said determination unit as a portion of the output target. | 01-09-2014 |
20140016869 | SIGNAL PROCESSING APPARATUS AND SIGNAL PROCESSING METHOD - A signal processing apparatus includes a representative value calculation unit and a low pass component extraction value calculation unit. The representative value calculation unit is configured to calculate, when areas obtained by dividing a frame image in units of a plurality of pixels are each assumed as a block, an average value of pixel values within each block as a representative value of the block based on an input video signal. The low pass component extraction value calculation unit is configured to perform spline interpolation using the representative values of the blocks located near a pixel being a calculation target for a low pass component extraction value, to calculate the low pass component extraction value of the calculation target. | 01-16-2014 |
20140023279 | Real Time Detecting and Tracing Apparatus and Method - A real time detecting and tracing apparatus comprises an image accessing module, an image preprocessing module, an image pyramids generation module, a detecting module, a tracing module, and a moving module. The image accessing module accesses an environmental image. The image preprocessing module shrinks the size of the environmental image and outputs a shrunken image. The image pyramids generation module generates an image pyramid according to the shrunken image. The detecting module scans the levels of the image pyramid and performs a sorting operation so as to position an object in the environmental image. The tracing module generates a tracing information according to the object information from the detecting module. The moving module traces or removes the object according the tracing information. | 01-23-2014 |
20140029856 | THREE-DIMENSIONAL VISUAL PHRASES FOR OBJECT RECOGNITION - The techniques discussed herein discover three-dimensional (3-D) visual phrases for an object based on a 3-D model of the object. The techniques then describe the 3-D visual phrases. Once described, the techniques use the 3-D visual phrases to detect the object in an image (e.g., object recognition). | 01-30-2014 |
20140037212 | IMAGE PROCESSING METHOD AND DEVICE - Feature points are extracted from a reference frame. Matching points corresponding to the respective feature points are extracted from a tracking frame. The reference and tracking frames are consecutive in time series. An inverse vector, corresponding to motion of the whole screen, having the matching point as a starting point is obtained. An endpoint of the inverse vector is calculated as a moved point. The matching point is classified as a stationary point when a position of the moved point is within a predetermined range relative to a position of the feature point. When the position of the moved point is out of the predetermined range, whether a correlation between the moved point and the feature point is high is determined. When the correlation is high, the matching point is classified as the outlier. When the correlation is low, the matching point is classified as a moving point. | 02-06-2014 |
20140037213 | IMAGE PROCESSING - A method of processing image data includes providing an image sequence such as a video sequence, or a camera transition, identifying a region-of-interest in at least one image of the image sequence, defining a transition region around the region-of-interest and defining a remaining portion of the image to be a default region or background region, applying different image effects to the region-of-interest, the transition region and the background region. | 02-06-2014 |
20140050407 | Virtual Machine Image Access De-Duplication - Techniques for de-duplicating virtual machine image accesses. A method includes identifying one or more identical blocks in two or more images in a virtual machine image repository, generating a block map for mapping different blocks with identical content into a same block, deploying a virtual machine image by reconstituting an image from the block map and fetching any unique blocks remotely on-demand, and de-duplicating virtual machine image accesses by storing the deployed virtual machine image in a local disk cache. | 02-20-2014 |
20140050408 | METHOD FOR ON-THE-FLY LEARNING OF FACIAL ARTIFACTS FOR FACIAL EMOTION RECOGNITION - A method for determining a facial emotion of a user in the presence of a facial artifact includes detecting Action Units (AUs) for a first set of frames with the facial artifact; analyzing the AUs with the facial artifact after the detection; registering the analyzed AUs for a neutral facial expression with the facial artifact in the first set of frames; predicting the AUs in a second set of frames; and determining the facial emotion by comparing the registered neutral facial expression with the predicted AUs in the second set of frames. | 02-20-2014 |
20140050409 | RECOGNIZING AND PROCESSING OBJECT AND ACTION TAGS FROM STICKERS - Handling data for a photographic image, includes detecting a reference pattern in the data, detecting at least one sticker in the data, determining an action associated with the at least one sticker, and performing the action on the data. The reference pattern may be a uniform grid pattern of dots preprinted on paper. A paper type may be determined according to the reference image. Determining an action associated with the at least one sticker may depend, at least in part, on the paper type. Detecting a particular one of the stickers may cause data for the photographic image to be stored in a particular location. Detecting a particular one of the stickers may cause data for the photographic images to be assigned particular tags used for organizing and searching. | 02-20-2014 |
20140056527 | FACE DETECTION USING DIVISION-GENERATED HAAR-LIKE FEATURES FOR ILLUMINATION INVARIANCE - Faces in images are quickly detected with minimal memory resource usage. Instead of calculating a Haar-like feature value by subtracting the average pixel intensity value in one rectangular region from the average pixel intensity value in another, adjacent rectangular region, a face-detection system calculates that Haar-like feature value by dividing the average pixel intensity value in one rectangular region by the average pixel intensity value in another adjacent rectangular region. Thus, each Haar-like value is calculated as a ratio of average pixel intensity values rather than as a difference between such average pixel intensity values. The feature values are calculated using this ratio-based technique both during the machine-learning procedure, in which the numerical ranges for features in known face-containing images are learned based on labeled training data, and during the classifier-applying procedure, in which an unlabeled image's feature values are calculated and compared to the previously machine-learned numerical ranges. | 02-27-2014 |
20140064622 | METHOD AND SYSTEM FOR EVALUATING HANDWRITTEN DOCUMENTS - A method, system, and computer program product for evaluating digital images of handwritten documents comprising handwritten symbols are disclosed. A set of symbols from the digital image is determined by applying a first predefined technique. If the set of symbols determined by applying the first predefined technique does not match with a predefined set of symbols, a second predefined technique is applied to determine the set of symbols from the digital image. Thereafter, an evaluation report is created based on the determining by applying the first predefined technique or the determining by applying the second predefined technique. | 03-06-2014 |
20140064623 | IMAGE FEATURE EXTRACTION APPARATUS AND IMAGE FEATURE EXTRACTION METHOD, AND IMAGE PROCESSING SYSTEM USING THE SAME - There is provided an image feature extraction technology capable of more efficiently processing images by optimizing a scanning region of images. An image feature extraction apparatus includes an image size detecting unit detecting the overall size of an input image; an interest region detecting unit detecting at least one region of interest including objects present in the input image; and a control unit comparing a summed size of the at least one region of interest with the overall size of the input image to determine a scanning region in which feature extraction is to be formed. | 03-06-2014 |
20140086493 | PROVIDING PRIVACY IN A SOCIAL NETWORK SYSTEM - Embodiments generally relate to providing privacy in a social network system. In some embodiments, a method includes recognizing one or more objects in at least one photo. The method also includes determining one or more objects to be obscured in the at least one photo based on one or more user preferences. The method also includes causing the at least one photo to be displayed such that the determined one or more objects are obscured. | 03-27-2014 |
20140093175 | INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM - An information processing device that presents at least one of data stored in memory or indexes corresponding to the data; receives a selection of the presented at least one of the data or the indexes corresponding to the data; obtains information related to the selected at least one of the data or the indexes corresponding to the data; generates at least one search key abstracted from the obtained information; searches for data within the memory based on the at least one search key; and presents at least one of the data or indexes corresponding to the data as a search result. | 04-03-2014 |
20140093176 | VIDEO ANALYZING DEVICE, VIDEO ANALYZING METHOD, PROGRAM, AND INTEGRATED CIRCUIT - A video analyzing device according to the present invention specifies an object-related section from video. The object-related section being related to a specific object appearing in the video. The video analyzing device includes an object-related section specifier that specifies a non-detected section as the object-related section when a predetermined condition is satisfied and does not specify the non-detected section as the object-related section when the predetermined condition is not satisfied. The object-detected section is a section in which the specific object is detected. The non-detected section is a section in which the specific object is not detected and which is in a consecutive relation with the object-detected section. | 04-03-2014 |
20140105504 | ILLUMINATION SENSITIVE FACE RECOGNITION - Systems and methods for face recognition are provided. In one example, a method for face recognition includes receiving a user image and detecting a user luminance of data representing the user's face. An adaptive low pass filter is selected that corresponds to the user luminance of the user's face. The filter is applied to the user image to create a filtered user image. The filtered user image is projected to create a filtered user image representation. A filtered reference image representation that has been filtered with the same low pass filter is selected from a reference image database. The method then determines whether the filtered reference image representation matches the filtered user image representation. | 04-17-2014 |
20140119664 | IMAGE DENOISING SYSTEM AND METHOD - A method, computer program product, and computer system for identifying a first portion of a facial image in a first image, wherein the first portion includes noise. A corresponding portion of the facial image is identified in a second image, wherein the corresponding portion includes less noise than the first portion. One or more filter parameters of the first portion are determined based upon, at least in part, the first portion and the corresponding portion. At least a portion of the noise from the first portion is smoothed based upon, at least in part, the one or more filter parameters. At least a portion of face specific details from the corresponding portion is added to the first portion. | 05-01-2014 |
20140126827 | MOTION IMAGE REGION IDENTIFICATION DEVICE AND METHOD THEREOF - A rectangular moving image region is determined using a simple configuration. When the difference between the representative value of a unit block and the representative value of the same unit block in a comparative frame exceeds a threshold, moving unit block judgment means | 05-08-2014 |
20140133758 | REAL-TIME FACE DETECTION USING PIXEL PAIRS - The subject disclosure is directed towards a face detection technology in which image data is classified as being a non-face image or a face image. Image data is processed into an image pyramid. Features, comprising pixel pairs of the image pyramid, are provided to stages of a cascading classifier to remove sub-window candidates that are classified as non-face sub-windows within each stage. The face detection technology continues with one or more subsequent stages to output a result as to whether the image contains a face. | 05-15-2014 |
20140133759 | Semantic-Aware Co-Indexing for Near-Duplicate Image Retrieval - An image retrieval method includes learning multiple object category classifiers with a processor offline and generating classifications scores of images as the semantic attributes; performing vocabulary tree based image retrieval using local features with semantic-aware co-indexing to jointly embed two distinct cues offline for near-duplicate image retrieval; and identifying top similar or dissimilar images using multiple semantic attributes. | 05-15-2014 |
20140140624 | FACE COMPONENT EXTRACTION APPARATUS, FACE COMPONENT EXTRACTION METHOD AND RECORDING MEDIUM IN WHICH PROGRAM FOR FACE COMPONENT EXTRACTION METHOD IS STORED - Disclosed is a face component extraction apparatus including an eye detection unit which detects a plurality of combinations of eye regions, each combination forming a pair, a first calculation unit which calculates a first evaluation value for each pair of eye regions, a fitting unit which fits a plurality of extraction models for extracting a plurality of face components in the image based on a number of pairs of eye regions whose first evaluation values are equal to or greater than a predetermined value, a second calculation unit which calculates a second evaluation value for each of a number of pairs of eye regions, and a deciding unit which decides a fitting mode of the plurality of extraction models to be fitted by the fitting unit based on calculation results of a number of second evaluation values by the second calculation unit. | 05-22-2014 |
20140140625 | DEVICES, SYSTEMS, AND METHODS FOR VISUAL-ATTRIBUTE REFINEMENT - Systems, devices, and methods for generating attribute scores obtain a plurality of object images; generate a respective first attribute score of a first attribute for each object image in the plurality of object images based on the object images; calculate a respective pairwise object-similarity measure for pairs of object images in the plurality of object images; and refine the first attribute score of an object image in the plurality of object images based at least in part on the attribute scores of other object images in the plurality of object images and on the object-similarity measures of the pairs of object images in the plurality of object images. | 05-22-2014 |
20140153832 | FACIAL EXPRESSION EDITING IN IMAGES BASED ON COLLECTIONS OF IMAGES - Implementations disclose editing of facial expressions and other attributes based on collections of images. In some implementations, a method includes receiving an indication of one or more desired facial attributes for a face depicted in a target image. The method searches stored data associated with a plurality of different source images depicting the face and finds one or more matching facial attributes in the stored data that match the one or more desired facial attributes. The matching facial attributes are associated with one or more portions of the source images. One or more target image portions in the target image are replaced with the one or more portions of the source images associated with the matching facial attributes. | 06-05-2014 |
20140153833 | IMAGE PROCESSING APPARATUS AND METHOD - The present invention relates to a technology for extracting a target area from within an image by a combination of a plurality of image processes, enabling an automatic setting of an image process procedure without an operator inputting the image process procedure. Thus, according to the present invention, the content of an image process to be carried out in the next and subsequent rounds is automatically determined based on a history of results of image processes that have been applied to a process object image up to the immediately preceding round. | 06-05-2014 |
20140161355 | Sparse Coding Based Superpixel Representation Using Hierarchical Codebook Constructing And Indexing - Embodiments of the present invention include systems and methods for identifying an object in an image. In embodiments, object identification includes using smooth encoding from a tree structure to generate a feature from a descriptor. In embodiments, the smooth encoding may be performed by, having identifying a leaf node for a descriptor, moving up the tree voting structure a number of levels from the identified leaf node to a branch node to identify leaf nodes dependent from the branch node; and then, by determining a sparse code under a condition that a distance between the descriptor and centroids of the leaf nodes dependent from the branch node weighted by the sparse code is minimized, wherein each element of the sparse code representing a weight corresponding to leaf nodes. | 06-12-2014 |
20140169678 | Method and system for text-image orientation - The current application is directed to a method and system for automatically determining the sense orientation of regions of scanned-document images that include symbols and characters of languages that are not written as simple sequential strings of alphabetic characters. In one implementation, the sense-orientation method and system to which the current application is directed employs a relatively small set of orientation-marker characters that occur frequently in printed text and that lack rotational symmetry. In this implementation, text-character images within a region of a scanned-document image are compared to each of a set of orientation-marker patterns corresponding to orientation-marker characters in order to identify images corresponding to orientation-marker patterns in the text-containing region of the scanned-document image and to determine an overall sense orientation for the text-containing region of the scanned-document image based on the orientations of the identified orientation-marker patterns. | 06-19-2014 |
20140169679 | VIDEO PROCESSING SYSTEM, METHOD OF DETERMINING VIEWER PREFERENCE, VIDEO PROCESSING APPARATUS, AND CONTROL METHOD - A video processing apparatus includes a first storage means unit which stores, in correspondence to a viewer, frame feature values to characterize each frame of scenes constituted by a series of frames in a video content viewed by the viewer; a second storage means unit which stores, as scene groups classified by attributes of the scenes, the frame feature values of scenes constituted by the series of frames; an interest level accumulation means unit which compares the frame feature values stored in the first storage means unit with the frame feature values stored in the second storage means unit, and in case the compared frame feature values match, increases a score about the viewer which represents the interest level with respect to the scene group of which the frame feature values match; and a viewer preference determination means unit which determines that the scene groups of the which the scores are higher are the scene groups preferred by the viewer. | 06-19-2014 |
20140177966 | DISCOVERING AUTHORITATIVE IMAGES OF PEOPLE ENTITIES - Systems, methods, and computer storage media for discovering authoritative images of people entities are provided. Selections of person entities are received. Authoritative URLs and authoritative images for the person entities are identified. Once the authoritative images are identified, features are extracted. Queries for the person entities are identified by mining search engine logs. The queries and features can be utilized to construct candidate queries to identify and retrieve candidate image URLs. Candidate features are extracted for each candidate image associated with the candidate image URLs. Training data may be utilized to train a classifier that can be run on each candidate image. Each candidate image can then be tagged with an entity ID tag. Images with the entity ID tag can be ranked higher in search engine results page than images without the entity ID tag. | 06-26-2014 |
20140177967 | EMOTION INFORMATION CONVERSION APPARATUS AND METHOD - An emotion information conversion apparatus and method is provided. The emotion information conversion apparatus includes a visual information extractor to extract visual information from an input image, an emotion information converter to analyze the extracted visual information and convert the visual information into emotion information, and a sensory effect information generator to generate sensory effect information transferable to a user, based on the converted emotion information. | 06-26-2014 |
20140185936 | METHOD AND DEVICE FOR AUTOMATICALLY DETERMINING THE RIDGE LINES OF A VARIABLE-HEIGHT AREA - The invention relates to a device ( | 07-03-2014 |
20140185937 | Semantic Parsing of Objects in Video - Methods, systems, and computer program products for parsing objects in a video are provided herein. A method includes producing a plurality of versions of an image of an object, wherein each version has a different resolution of said image of said object, and computing an appearance score at each of a plurality of regions on the lowest resolution version for at least one attribute for said object. Such a method also includes analyzing one or more other versions to compute a resolution context score for each of the plurality of regions in the lowest resolution version, and determining a configuration of the at least one semantic attribute in the lowest resolution version based on the appearance score and the resolution context score. | 07-03-2014 |
20140185938 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - There are provided an apparatus and a method for executing calculation of a global motion vector (GMV) with a high degree of reliability. Local motion vectors (LMV) corresponding to blocks and block weights as reliability indicators of the LMVs of the respective blocks are calculated, and the global motion vector (GMV) is calculated on the basis of the block weights. By calculating a degree of reliability of the local motion vector (LMV) corresponding to each block of a target block and near-field blocks adjacent to the target block and a degree of similarity between the local motion vectors (LMV) of the target block and each near-field block, the block weight is calculated through arithmetic processing to which the degree of reliability and the degree of similarity are applied. With the present configuration, it is possible to efficiently calculate the global motion vector (GMV) with a high degree of reliability. | 07-03-2014 |
20140193079 | IMAGE CORRECTION METHOD USING APPROXIMATELY NON-LINEAR REGRESSION APPROACH AND RELATED IMAGE CORRECTION CIRCUIT - An image correction method arranged for processing an original image to obtain a corrected image includes steps: receiving the original image from an image sensor; regarding each pixel of the original image, calculating a horizontal distance and a vertical distance between the pixel and a reference point in the original image; determining a horizontal ratio parameter and a vertical ratio parameter according to the horizontal distance and the vertical distance between the pixel and the reference point in the original image; and performing an approximately non-linear regression calculation on the horizontal ratio parameter, the vertical ratio parameter and a coordinate of the pixel to obtain a position of the pixel in the corrected image. | 07-10-2014 |
20140198987 | Structure Descriptors for Image Processing - A structure descriptor for an m×n pixel block of an image may be determined. The m×n pixel block may contain a primary pixel having a primary pixel value and a plurality of secondary pixels having respective secondary pixel values. The structure descriptor may include a plurality of structure indicators each associated with a respective secondary pixel. The respective structure indicators may be based on the primary pixel value and the respective secondary pixel value of the associated secondary pixel. Based on the structure descriptor, a structure value for the m×n pixel block may be determined. Based on the structure value, image processing may be applied to the m×n pixel block. | 07-17-2014 |
20140212047 | Methods, Systems and Apparatus for Determining Orientation in a Document Image - Aspects of the present invention are related to systems, methods and apparatus for determining the orientation of a text line or a page in a document image. According to a first aspect of the present invention, an image of text blobs may be generated from a text mask associated with a document image. From the text-blob image, pixel-wise horizontal differences may be accumulated and compared to accumulated pixel-wise vertical differences. Text line orientation may be determined as horizontal when the accumulated pixel-wise horizontal differences are less than the accumulated pixel-wise vertical differences. According to a second aspect of the present invention, page orientation may be determined by reconciling an estimated text-line orientation with document language information. | 07-31-2014 |
20140212048 | System and Method for Identifying Scale Invariant Features of Object Outlines on Images - The present invention relates to a system and method for identifying scale invariant features of image outlines. The method comprises the steps of; receiving a parametric equation of a closed planar curve; choosing nodes on the closed planar curve with equal intervals; generating a continuous scale space of the nodes on the curve; calculating circle of curvature for every node on the closed curve for every scale in every octave; finding circle of curvature differences between plurality of adjacent scales; comparing each curvature difference value and choosing the nodes with a minimum or maximum curvature difference as feature points; representing the outline with a descriptor including all the feature points. The method further comprises the steps; eliminating the feature points which are closer to each other than a predetermined threshold; and comparing a descriptor with each previously recorded descriptor belonging to various outlines, finding at least one descriptor with a good match. | 07-31-2014 |
20140233858 | IMAGE CREATING DEVICE, IMAGE CREATING METHOD AND RECORDING MEDIUM STORING PROGRAM - Disclosed is an image creating device including an extraction section which extracts a plurality of feature parts of a face in an image and a creating section which creates a portrait image of the face on a basis of the feature parts extracted by the extraction section. The device further includes a specifying section which specifies, among the plurality of feature parts extracted by the extraction section, a feature part to be used as a feature in the portrait image by setting any one of a usage of the portrait image created by the creating section, a characteristic of the face and a relation between a person corresponding to the face and a user as a reference and a creation control section which control creation of the portrait image by the creating section on a basis of the feature part specified by the specifying section. | 08-21-2014 |
20140247992 | ATTRIBUTE RECOGNITION VIA VISUAL SEARCH - One exemplary embodiment involves identifying feature matches between each of a plurality of object images and a test image, each feature matches between a feature of a respective object image and a matching feature of the test image, wherein there is a spatial relationship between each respective object image feature and a test image feature, and wherein the object depicted in the test image comprises a plurality of attributes. Additionally, the embodiment involves estimating, for each attribute in the test image, an attribute value based at least in part on information stored in a metadata associated with each of the object images. | 09-04-2014 |
20140247993 | LANDMARK LOCALIZATION VIA VISUAL SEARCH - One exemplary embodiment involves identifying feature matches between each of a plurality of object images and a test image, each of the feature matches between a feature of a respective object image and a matching feature of the test image, wherein there is a spatial relationship between each respective object image feature and a first landmark of the object image, the first landmark at a known location in the object image. The embodiment additionally involves estimating a plurality of locations for a second landmark for the test image, the estimated locations based at least in part on the feature matches and the spatial relationships, and estimating a final location for the second landmark from the plurality of locations for the second landmark for the test image. | 09-04-2014 |
20140254936 | LOCAL FEATURE BASED IMAGE COMPRESSION - The use of local feature descriptors of an image to generate compressed image data and reconstruct the image using image patches that are external to the image based on the compressed image data may increase image compression efficiency. A down-sampled version of the image is initially compressed to produce an encoded visual descriptor. The local feature descriptors of the image and the encoded visual descriptor are then obtained. A set of differential feature descriptors are subsequently determined based on the differences between the local feature descriptors of the input image and the encoded visual descriptor. At least some of the differential feature descriptors are compressed to produce encoded feature descriptors, which are then combined with the encoded visual feature descriptor produce image data. The image data may be used to select image patches from an image database to reconstruct the image. | 09-11-2014 |
20140254937 | Depth Image Filtering Method, and Depth Image Filtering Threshold Obtaining Method and Apparatus - A depth image filtering method, and a filtering threshold obtaining method and apparatus are provided. The method in the embodiments of the present invention includes: determining, for each pixel in an adjacent area of a pixel of a to-be-filtered depth image, whether the pixel meets a preset condition; determining a set of pixels meeting the preset condition; and determining a pixel value of the pixel of the to-be-filtered depth image according to pixel values of the pixels in the set. According to the embodiments of the present invention, a ringing effect at an edge of a depth image is effectively removed, and discontinuity of the depth image is reduced, thereby improving quality of a video image. | 09-11-2014 |
20140270533 | Image Cropping According to Points of Interest - In one embodiment, a computing device determines one or more points of interest in an image. The computing device selects a viewport position including a pre-determined number of the points of interest. The computing device crops the image based at least in part on the viewport position. | 09-18-2014 |
20140270534 | VIDEO RETARGETING USING SEAM CARVING - Aspects of the present disclosure provide improved image resizing techniques including seam craving and seam lining that consider image content in addition to geometric constraints. In one aspect of the disclosure, the energy for each of the pixels of an image is determined in accordance with an energy function. A line energy is determined for each straight line of the image, and the line energy corresponds to a sum of the energy of the pixels in each straight line. A plurality of starting points are identified for a plurality of seams corresponding to the straight lines having the lowest line energy. Further, the paths for each of the seams are determined. The image may be resized by removing the seams from the image. | 09-18-2014 |
20140270535 | Systems and Methods for Seamless Patch Matching - A method implemented in an image editing device comprises determining a source region in a source image and determining a target region in a target image. At least one image characteristic of each of the source region and a region outside the target region is analyzed. The content in the source region is adjusted according to the at least one image characteristic of the source region and the at least one image characteristic of the region outside the target region. The adjusted content from the source region is inserted into the target region. | 09-18-2014 |
20140270536 | SYSTEMS AND METHODS FOR CLASSIFYING OBJECTS IN DIGITAL IMAGES CAPTURED USING MOBILE DEVICES - A method includes receiving or capturing a digital image using a mobile device, and using a processor of the mobile device to: determine whether an object depicted in the digital image belongs to a particular object class among a plurality of object classes; determine one or more object features of the object based at least in part on the particular object class at least partially in response to determining the object belongs to the particular object class; build or select an extraction model based at least in part on the one or more determined object features; and extract data from the digital image using the extraction model. The extraction model excludes, and/or the extraction process does not utilize, optical character recognition (OCR) techniques. Related systems and computer program products are also disclosed. | 09-18-2014 |
20140270537 | APPARATUS AND METHOD FOR DIGITAL MICROSCOPY IMAGING - A microscopy imaging system and method for rendering a mosaic representation of an object from a series of image frames of the object are disclosed. A current image frame is processed to determine its relative location or position within the mosaic representation based on relative displacement of the current image from one or more keyframes. Once the current image frame's position has been determined, it is rendered along with its neighboring keyframes to provide the mosaic representation of the object. | 09-18-2014 |
20140301646 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - The image processing apparatus inpaints a part of an image displayed on the display unit. The control unit determines a removal patch including a removal region and a first non-removal region that is a region that does not include the removal region in the image, and replace pixel values of pixels included in the removal region with pixel values of pixels outside the removal patch. The control unit calculates a distance from the removal region for pixels included in the first non-removal region, blends pixel values of the pixels included in at least a portion of the first non-removal region with the pixel values of the pixels outside the removal patch based on the calculated distance to obtain blended pixel values, and replaces the pixel values of the pixels included in the at least a portion of the first non-removal region with the blended pixel values. | 10-09-2014 |
20140301647 | LOCAL FEATURE DESCRIPTOR EXTRACTING APPARATUS, METHOD FOR EXTRACTING LOCAL FEATURE DESCRIPTOR, AND PROGRAM - The size of a feature descriptor is reduced, with the accuracy of object identification maintained. A local feature descriptor extracting apparatus includes a feature point detecting unit configured to detect a plurality of feature points in an image and output feature point information that is information on each of the feature points, a feature point selecting unit configured to select the predetermined number of feature points from the detected plurality of feature points in order of decreasing importance based on the feature point information, and a local feature descriptor generating unit configured to generate a local feature descriptor that is a feature descriptor in a local region for each of the selected feature points. | 10-09-2014 |
20140307971 | IMAGE PROCESSING APPARATUS, METHOD OF CONTROLLING IMAGE PROCESSING APPARATUS, AND NON-TRANSITORY COMPUTER-READABLE RECORDING MEDIUM - To generate a high resolution image of higher quality depending on a target area. An image processing apparatus includes a blur amount estimating unit configured to estimate a blur amount in a set target area in each of images indicated by a plurality of low resolution image data, and a reference image selecting unit configured to select a low resolution image to be a reference for generating the high resolution image depending on the estimated blur amount. | 10-16-2014 |
20140307972 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A WT unit performs wavelet transformation on original image data to generate first image data. An ROI developing unit, based on ROI information, specifies an ROI corresponding portion corresponding to an ROI and a non-ROI corresponding portion corresponding to a non-ROI to the first image data. A high-frequency cutting unit performs, on the first image data, a high-frequency cutting process that cuts a high-frequency component of the non-ROI corresponding portion. A low-frequency blurring unit performs, on the first image data, a low-frequency blurring process that blurs a low-frequency component of the non-ROI corresponding portion. The IWT unit performs inverse wavelet transformation on second image data (first image data obtained after the high-frequency cutting process and the low-frequency blurring process are performed) to generate third image data. | 10-16-2014 |
20140321754 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, IMAGE PROCESSING CONTROL PROGRAM, AND RECORDING MEDIUM - An image processing device configured to detect a salient region from an image has a pixel small-region image generating unit that generates a pixel small-region image using, as a unit, a pixel small region made of pixels adjacent to one another and whose luminance values or chromaticity are similar, from the image, a prior probability calculator that calculates prior probability of likelihood of the salient region for each of the pixels of the image, a region generating unit that generates a salient-region-containing region having high possibility of containing a salient region on the basis of a corner point extracted from the image, and a likelihood calculator. | 10-30-2014 |
20140334734 | Systems and Methods for Facial Age Identification - Systems and methods are provided for acquiring classification functions for facial age identification. For example, a plurality of facial images associated with different ages are acquired; the facial images are assigned into a plurality of facial image collections based on at least information associated with a plurality of first age groups; for a first age group, one or more first facial image collections associated with one or more second age groups older than the first age group are acquired as positive samples; one or more second facial image collections associated with one or more third age groups younger than the first age group are acquired as negative samples; and training is performed based on at least information associated with the first positive samples and the negative samples to determine one or more classification functions for the first age groups. | 11-13-2014 |
20140334735 | IMAGE REGISTRATION VIA OPTIMIZATION OVER DISJOINT IMAGE REGIONS - Technologies pertaining to registering a target image with a base image are described. In a general embodiment, the base image is selected from a set of images, and the target image is an image in the set of images that is to be registered to the base image. A set of disjoint regions of the target image is selected, and a transform to be applied to the target image is computed based on the optimization of a metric over the selected set of disjoint regions. The transform is applied to the target image so as to register the target image with the base image. | 11-13-2014 |
20140334736 | FACE RECOGNITION METHOD AND DEVICE - The present invention provides a face recognition method and device. The method includes: performing down-sampling of different sizes on an original face image; performing block partition processing on a down-sampled image and the original face image; extracting feature of each image block; performing similarity matching between the extracted feature of each image block and features of image blocks corresponding to a pre-registered face image to obtain a similarity of each image block; and obtaining a face image recognition result according to an obtained similarity between all the image blocks. According to the face recognition method and device, down-sampling of different sizes is performed on an original face image, which increases a capability of face image features to describe the face image; a face image recognition result is obtained according to a similarity between all the obtained image blocks, which increases an accuracy of face image recognition. | 11-13-2014 |
20140341472 | PERSON DETECTION DEVICE AND PERSON DETECTION METHOD - The purpose of the invention is to increase accuracy in detecting a person on the basis of the size of an object detection region in an omni-directional image. A height-and-width switching section for switching between the height and the width of the object detection region on the basis of the position of the object detection region in the omni-directional image is provided. It is determined on the basis of the height and the width of the object detection region for which the height and the width are switched by the height-and-width switching section whether the object detection region is a person detection region. As a result, the person detection region and a shadow detection region can be correctly separated in the omni-directional image. | 11-20-2014 |
20140341473 | APPARATUS AND METHOD FOR ENHANCING USER RECOGNITION - Disclosed is an apparatus for enhancing user recognition. The apparatus for enhancing user recognition comprises: a storage unit for storing content; a display unit for displaying the stored content; a scan path detection unit for detecting a scan path of a user on the content; an eye feature extraction unit for extracting eye feature information from the detected scan path; and a calculation unit for calculating a recognition state of the user for the content by using the extracted eye feature information | 11-20-2014 |
20140348431 | CORNER DETECTION - The present application provides a method of corner detection and an image processing system for detecting corners in an image. The preferred implementation is in software using enabling and reusable hardware features in the underlying vector processor architecture. The advantage of this combined software and programmable processor datapath hardware is that the same hardware used for the FAST algorithm can also be readily applied to a variety of other computational tasks, not limited to image processing. | 11-27-2014 |
20140355886 | IMAGE MATCHING METHOD, IMAGE MATCHING DEVICE, MODEL TEMPLATE GENERATION METHOD, MODEL TEMPLATE GENERATION DEVICE, AND PROGRAM - An image matching method performed by an image matching device, includes acquiring a model image, generating a plurality of variation images by applying to the model image variations that are different from each other, extracting features from each of the plurality of variation images, generating a model template based on the features, and performing template matching using an image to be matched and the model template. | 12-04-2014 |
20140363087 | Methods of Image Fusion for Image Stabilization - Systems, methods, and computer readable media to improve image stabilization operations are described. Novel approaches for fusing non-reference images with a pre-selected reference frame in a set of commonly captured images are disclosed. The fusing approach may use a soft transition by using a weighted average for ghost/non-ghost pixels to avoid sudden transition between neighborhood and almost similar pixels. Additionally, the ghost/non-ghost decision can be made based on a set of neighboring pixels rather than independently for each pixel. An alternative approach may involve performing a multi-resolution decomposition of all the captured images, using temporal fusion, spatio-temporal fusion, or combinations thereof, at each level and combining the different levels to generate an output image. | 12-11-2014 |
20140363088 | METHOD OF ESTABLISHING DATABASE INCLUDING HAND SHAPE DEPTH IMAGES AND METHOD AND DEVICE OF RECOGNIZING HAND SHAPES - A method of recognizing a hand shape by using a database including a plurality of hand shape depth images includes receiving a motion of a user, extracting a hand shape depth image of the user from the received motion, normalizing a size and depth values of the extracted hand shape depth image to conform to criteria of a size and depth values of the hand shape depth images stored in the database, and detecting from the database a hand shape depth image corresponding to the normalized hand shape depth image. It is possible to detect a hand shape depth image in a rapid and accurate way with the disclosed method. | 12-11-2014 |
20140369603 | DETECTION DEVICE FOR REGION OF INTEREST AND METHOD OF DETECTING REGION OF INTEREST - A method of detecting an ROI is provided. The method includes calculating energy of each of unit blocks constituting an image frame, detecting at least one interest block having energy higher than a threshold value among the unit blocks, forming initial ROIs by dividing the image frame, and removing a medium ROI among the initial ROIs. | 12-18-2014 |
20140369604 | Virtual Image Generation - There is described a method for the creation of at least a second, virtual image ( | 12-18-2014 |
20140369605 | METHOD AND APPARATUS FOR RECOGNIZING OBJECTS IN MEDIA CONTENT - An approach is provided for recognizing objects in media content. The capture manager determines to detect, at a device, one or more objects in a content stream. Next, the capture manager determines to capture one or more representations of the one or more objects in the content stream. Then, the capture manager associates the one or more representations with one or more instances of the content stream. | 12-18-2014 |
20140369606 | AUTOMATED FIELD POSITION LINKING OF INDEXED DATA TO DIGITAL IMAGES - According to one embodiment, a method of linking a document image with indexed data is provided. The method may be performed by providing a document image, which is a digitized document having various information. Indexed data is also provided, which is a record that includes information extracted from the document image or a different document image. The process is further performed by identifying a feature of the indexed data and analyzing the document image to determine whether the feature is present within the information of the digitized document. The feature may be information or a characteristic defined by the information extracted from the document image or the different document image. If the feature is present within the information of the digitized document, a determination is made that the indexed data corresponds with the document image and the indexed data is linked with the document image. | 12-18-2014 |
20140376812 | IMAGE PROCESSING APPARATUS AND METHOD THEREFOR - An area where development processing is irregular in imaging data are detected as an irregularity area. At least two areas having approximate feature amounts in the imaging data are detected as approximate areas. An altered region in the imaging data is specified from the approximate areas based on the irregularity area and the approximate areas. | 12-25-2014 |
20140376813 | SUBJECT DETECTION DEVICE AND CONTROL METHOD FOR THE SAME, IMAGING APPARATUS, AND STORAGE MEDIUM - A subject detection device includes: a first detection unit that detects a region of a first detection target from an image; a second detection unit that detects from the image a region of a second detection target from which the region of the first detection target can be estimated; and a control unit that controls to display in a predetermined mode indicating the region of the first detection target if a predetermined condition is satisfied, wherein when the first detection unit detects the region of the first detection target and the second detection unit detects the region of the second detection target when the control unit controls to not display in the predetermined mode, the control unit reduces the predetermined condition as compared with when the region of the second detection target is not detected. | 12-25-2014 |
20140376814 | Image Signal Processing Apparatus, Imaging Apparatus and Image Processing Program - An image signal processing apparatus includes an image signal input unit, a local information acquisition unit for calculating a statistical quantity of pixel values in a local area including a noted pixel from an image signal as local information, a noise correction unit for conducting noise correction on the image signal by using the local information and outputting a noise-corrected image signal, an image signal correction unit for conducting signal level correction on the image signal from the noise correction unit and outputting a level-corrected image signal, an image signal correction intensity control unit for determining correction intensity in the level correction and changing input-output characteristics in the level correction, a signal correction characteristic estimation unit for estimating level correction characteristics based on the correction intensity, and a noise correction intensity control unit for controlling correction intensity in the noise correction in conjunction with the level correction characteristics. | 12-25-2014 |
20140376815 | Video Processing System, Video Processing Method, Video Processing Device for Mobile Terminal or Server and Control Method and Control Program Thereof - The present invention is to notify a recognition result with respect to a recognition object in a video in real time while maintaining recognition accuracy. A recognition object and m-number of first local characteristic quantities which are respectively 1-dimensional to i-dimensional characteristic vectors are stored in association with each other, and n-number of second local characteristic quantities which are respectively 1-dimensional to j-dimensional characteristic vectors are generated for n-number of local areas respectively including n-number of characteristic points from an image in a video. In addition, a smaller dimension is selected from the dimension i and the dimension j, a recognition that the recognition object exists in an image in the video is made when it is determined that a prescribed proportion or more of the m-number of first local characteristic quantities which are characteristic vectors up to the selected number of dimensions correspond to the n-number of second local characteristic quantities which are characteristic vectors up to the selected number of dimensions, and information representing the recognition object is displayed in superposition on an image in which the recognition object exists in the video. | 12-25-2014 |
20140376816 | Analysis and Sorting of Objects in Flow | 12-25-2014 |
20140376817 | IMAGE PROCESSING DEVICE, INFORMATION STORAGE DEVICE, AND IMAGE PROCESSING METHOD - An image processing device includes an image sequence acquisition section that acquires an image sequence that includes a plurality of images, and a processing section that performs an image summarization process that deletes some of the plurality of images included in the acquired image sequence to acquire a summary image sequence, the processing section selecting a reference image and a determination target image from the plurality of images, calculating a coverage ratio of the determination target image by the reference image based on deformation information about the reference image and the determination target image, and determining whether or not the determination target image can be deleted based on the coverage ratio. | 12-25-2014 |
20150010236 | AUTOMATIC IMAGE REFOCUSING METHOD - An automatic image adjusting method for use in an electronic device is provided. The electronic device has a processor and a display screen. The automatic image adjusting method has the following steps of: analyzing an image to determine multiple target objects in the image; estimating corresponding depth distances of the target objects; and displaying the image on the display screen by switching focus between the target objects according to the corresponding depth distances in a display order. | 01-08-2015 |
20150010237 | INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS AND CONTROL METHOD AND CONTROL PROGRAM THEREOF, AND COMMUNICATION TERMINAL AND CONTROL METHOD AND CONTROL PROGRAM THEREOF - A search object and m-number of first local features respectively constituted by a feature vector of 1 to i dimensions of local areas of m-number of feature points in an image of the search object are stored, feature points are extracted from the image, second local features respectively constituted by a feature vector of 1 dimension to j dimensions are generated with respect to local areas of n-number of feature points, a smaller number of dimensions among the number of dimensions i of the first local features and the number of dimensions j of the second local features is selected, and an existence of the search object in the image in the video is recognized when a prescribed ratio of the m-number of first local features up to the selected number of dimensions corresponds to the n-number of second local features up to the selected number of dimensions. | 01-08-2015 |
20150016727 | METHODS AND SYSTEMS FOR SELECTING AN IMAGE IN A NETWORK ENVIRONMENT - Systems and methods for collecting, selecting, and displaying an image or image set in a network based environment are described. The systems and methods can collect multiple images for any given item from multiple sources, select a desired image (or set of images) that best depicts that item, and then display that selected image (or image set) in the network based environment. The desired image (or image set) that best depicts the item can be selected using any number or combination of pre-selected criteria. By using the pre-selected criteria, the process needs no manual intervention, and can therefore be automated or semi-automated to save both time and cost. | 01-15-2015 |
20150016728 | INTELLIGENT LANDMARK SELECTION TO IMPROVE REGISTRATION ACCURACY IN MULTIMODAL IMAGE FUSHION - Systems and methods for image registration includes an image feature detection module ( | 01-15-2015 |
20150016729 | IMAGE SEARCH DEVICE, IMAGE SEARCH METHOD, PROGRAM, AND COMPUTER-READABLE STORAGE MEDIUM - An image search device is configured to: obtain a plurality of query feature amounts each indicating a local feature of an image serving as a query; select image feature amounts respectively corresponding to the respective query feature amounts so that one image feature amount is selected relative to one of the plurality of query feature amounts for each of a plurality of images to be searched from image feature amounts respectively indicating local features of each of the images to be searched; generate a score indicating a degree of similarity between each of the plurality of images to be searched and the image serving as the query based on the image feature amounts selected relative to the plurality of query feature amounts; and select at least one image from the plurality of images to be searched based on the score generated for the image. | 01-15-2015 |
20150016730 | METHODS, APPARATUS, AND ARTICLES OF MANUFACTURE TO MEASURE GEOGRAPHICAL FEATURES USING AN IMAGE OF A GEOGRAPHICAL LOCATION - Methods, apparatus, and articles of manufacture to measure geographical features using an image of a geographical location are disclosed. An example method includes dividing an image of a geographic area of interest into geographical zones, the geographical zones being representative of different physical geographical areas; modifying boundaries of a first one of the geographical zones to more closely conform to an observable landmark or a geographical location observable by a person located in the first one of the geographical zones; storing descriptions for the geographical zones in a computer memory based on the modified boundaries of the first one of the geographical zones; and storing a value representative of a geographical feature represented in the image for the first one of the geographical zones. | 01-15-2015 |
20150023603 | HEAD-POSE INVARIANT RECOGNITION OF FACIAL EXPRESSIONS - A system facilitates automatic recognition of facial expressions. The system includes a data access module and an expression engine. The expression engine further includes a set of specialized expression engines, a pose detection module, and a combiner module. The data access module accesses a facial image of a head. The set of specialized expression engines generates a set of specialized expression metrics, where each specialized expression metric is an indication of a facial expression of the facial image assuming a specific orientation of the head. The pose detection module determines the orientation of the head from the facial image. Based on the determined orientation of the head and the assumed orientations of each of the specialized expression metrics, the combiner module combines the set of specialized expression metrics to determine a facial expression metric for the facial image that is substantially invariant to the head orientation. | 01-22-2015 |
20150030250 | SYSTEM, METHOD, AND MEDIUM FOR IMAGE OBJECT AND CONTOUR FEATURE EXTRACTION - A method includes determining a position and length of a non-zero run in a row of a pixel map. The method also includes determining a number of neighbors for the non-zero run in a preceding row, based at least in part on the position and the length. In addition, the method includes updating a correspondence map of the non-zero run and a correspondence map of a first neighbor of the non-zero run, based at least in part on a correspondence map of a second neighbor of the non-zero run, in response to a determination that the non-zero run has at least two neighbors in the preceding row. | 01-29-2015 |
20150030251 | OBJECT DETECTION APPARATUS AND STORAGE MEDIUM - Important information about an object is detected using less arithmetic processing. An object detection unit generates an edge image from a color image. The object detection unit evaluates symmetry of an image included in the edge image by performing processing in accordance with the position of a target pixel. The object detection unit identifies a symmetry center pixel forming an object having symmetry. The object detection unit detects an object width for each symmetry center pixel. The object detection unit identifies the width of the object in the vertical direction based on the width of the symmetry center pixels in the vertical direction, and identifies the width of the object in the horizontal direction based on the object width identified for each symmetry center pixel. | 01-29-2015 |
20150036931 | SYSTEM AND METHOD FOR CREATING NAVIGABLE VIEWS - A method for creating navigable views includes receiving digital images, computing a set of feature points for each of the digital images, selecting one of the digital images as a reference image, identifying a salient region of interest in the reference image, identifying other digital images containing a region of interest similar to the salient region of interest in the reference image using the set of feature points computed for each of other digital images, designating a reference location for the salient region of interest in the reference image, aligning the other digital images to the image that contains the designated reference location, ordering the image that contains the designated reference location and the other digital images, and generating a navigable view. | 02-05-2015 |
20150036932 | IMAGE PROCESSING APPARATUS AND METHOD, AND COMPUTER PROGRAM PRODUCT - According to an embodiment, an image processing apparatus includes an obtainer, a setter, a first calculator, a second calculator, and a third calculator. The obtainer obtains an image. The setter sets a plurality of first regions and a plurality of second regions on the image. Each of the first regions and the second regions includes two or more pixels, and at least one of the second regions is different in position or size from the first regions. The first calculator calculates first feature data representing an image feature of the first regions. The second calculator calculates second feature data which is a luminance gradient between the second regions. The third calculator calculates relative feature data representing a relative relationship between the first feature data and the second feature data. | 02-05-2015 |
20150049952 | SYSTEMS AND METHODS OF MEASURING FACIAL CHARACTERISTICS - Systems and methods for measuring facial characteristics of patients. In various embodiments, the system uses a geometric pattern to determine a reference scale for an image that includes the geometric pattern and at least a portion of the patient's face. The system may determine the reference scale based at least in part on a known measurement within the geometric pattern. The known measurement may include a distance between two geometric attributes of the geometric pattern. The system may be further configured to correct for errors caused by an orientation of the geometric pattern within the image and/or distortion of the geometric pattern within the image. The geometric pattern may be disposed on a reference device that may be configured to enable a user to attach the reference device to the head of the patient or a pair of eyewear worn by the patient. | 02-19-2015 |
20150055871 | METHOD AND APPARATUS FOR ANALYZING AND ASSOCIATING BEHAVIORS TO IMAGE CONTENT - A computer implemented method and apparatus for analyzing image content and associating behaviors to the analyzed image content. The method comprises accessing a digital image; determining one or more patterns in the digital image; associating, based on the one or more determined patterns, a set of pre-defined behaviors with each determined pattern; and storing interactions with the digital image, wherein the interactions are associated with the behaviors. | 02-26-2015 |
20150055872 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM - An information processing apparatus includes a detector that detects a symbol image representing a symbol from content including an image, a determining unit that determines, on the basis of detail of image processing that changes a display form of the content, a display form of the symbol image in the content subjected to the image processing, and an addition indicating unit that indicates addition of the symbol image in the display form determined by the determining unit to the content subjected to the image processing. | 02-26-2015 |
20150063704 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING PROGRAM - Information corresponding to a face image preferred by a user as a whole is presented while considering a face element preferred by the user. An information processing apparatus identifies a priority of each of a plurality of elements included in a face in a reference face image. The priority is according to specification by a user. The information processing apparatus extracts, from among a plurality of face images, face images whose similarities of an area including the plurality of elements to the reference face image is greater than or equal to a first threshold value. The information processing apparatus decides, on the basis of similarities of each element between the reference face image and the extracted face images and the identified priority of each element, presentation order of presentation information presented as search results corresponding to the extracted face images. | 03-05-2015 |
20150063705 | METHOD AND APPARATUS, COMPUTER-READABLE MEDIUM FOR CONTENT AWARE MULTIMEDIA RESIZING - A method for content aware multimedia resizing includes selecting at least one Region Of Interest (ROI) in an input multimedia, resizing the at least one ROI, and generating an output multimedia with the resized at least one ROI. An electronic device for content aware multimedia resizing includes a processor configured to select ROI in an input multimedia, resize the at least one ROI, and generate an output multimedia with the resized at least one ROI. A computer-readable medium storing a program for content aware multimedia resizing, the program which when executed by a processor causes the processor to perform operations including selecting ROI in an input multimedia, resizing the at least one ROI, and generating an output multimedia with the resized at least one ROI. | 03-05-2015 |
20150071547 | Automated Selection Of Keeper Images From A Burst Photo Captured Set - Systems and methods for improving automatic selection of keeper images from a commonly captured set of images are described. A combination of image type identification and image quality metrics may be used to identify one or more images in the set as keeper images. Image type identification may be used to categorize the captured images into, for example, three or more categories. The categories may include portrait, action, or “other.” Depending on the category identified, the images may be analyzed differently to identify keeper images. For portrait images, an operation may be used to identify the best set of faces. For action images, the set may be divided into sections such that keeper images selected from each section tell the story of the action. For the “other” category, the images may be analyzed such that those having higher quality metrics for an identified region of interest are selected. | 03-12-2015 |
20150071548 | IMAGE PROCESSING SYSTEM, SERVER DEVICE, IMAGE PICKUP DEVICE AND IMAGE EVALUATION METHOD - An image pickup device transmits to a server a transmission sample including a detection image detected by a first detection section from a transmitting/receiving section under the control of a transmission sample control section. The server performs detection processing that requires more resources than those of the first detection section on the detection image transmitted by a second detection section from the image pickup device, and determines whether or not the detection image in question is spurious, based on a second detection score which is thereby obtained. A transmission frequency deciding section generates transmission frequency control information such as to raise the transmission frequency by an image pickup device that has a high frequency of spurious detection; a transmitting/receiving section transmits the transmission frequency control information to the image pickup device. | 03-12-2015 |
20150078667 | METHOD AND APPARATUS FOR SELECTIVELY PROVIDING INFORMATION ON OBJECTS IN A CAPTURED IMAGE - A method for providing object information for a scene in a wearable computer is disclosed. In this method, an image of the scene is captured. Further, the method includes determining a current location of the wearable computer and a view direction of an image sensor of the wearable computer and extracting at least one feature from the image indicative of at least one object. Based on the current location, the view direction, and the at least one feature, information on the at least one object is determined Then, the determined information is output. | 03-19-2015 |
20150086118 | METHOD FOR RECOGNIZING A VISUAL CONTEXT OF AN IMAGE AND CORRESPONDING DEVICE - A method for recognizing a visual context in an image includes at least one step of extracting features from the image and including at least one step of coding the plurality of local descriptors developing a coding matrix by associating each local descriptor with one or a plurality of visual words in a codebook according to at least one similarity criterion, the method being characterized in that said coding step results from a compromise between the similarity between a given local descriptor and the visual words of a codebook and its resemblance to the visual words associated with the local descriptors which are spatially near to it in the domain of the image. | 03-26-2015 |
20150086119 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND RECORDING MEDIUM - An image processing apparatus includes: an obtaining member to obtain an image; a copying member to copy the image obtained by the obtaining member; a detecting member to detect a face area from the copied image or the obtained image; a correcting member to perform correction to adjust a brightness and a color shade of a whole of the obtained or copied image from which the face area is detected by the detecting member so that a flesh color component of the face area detected by the detecting member is corrected to become a predetermined status; and a synthesizing member to make a transparency of the face area detected by the detecting member different from another area and to synthesize the image corrected by the correcting member and the obtained or copied image from which the face are is not detected by the detecting member. | 03-26-2015 |
20150086120 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND RECORDING MEDIUM - In an image processing apparatus, an image acquiring section acquires one or more images. An image analysis information acquiring section acquires image analysis information on each of the one or more images. A theme determining section determines a main theme representing a theme of each group of images related to each other among the one or more images and a subtheme representing a theme of each of the one or more images based on information on photography tendencies of images associated with each of one or more themes and the image analysis information on each of the one or more images. A theme information output section outputs information on the main theme and information on the subtheme. | 03-26-2015 |
20150093032 | IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM - An image processing apparatus includes a subject area detector and a subject area determinator. The subject area detector is configured to perform subject detection processing to detect a subject area from an input image. The subject area determinator is configured to determine a final subject area by majority decision processing that is based on the subject areas detected in the subject detection processing performed a plurality of times. | 04-02-2015 |
20150093033 | METHOD, APPARATUS, AND COMPUTER-READABLE RECORDING MEDIUM FOR CONVERTING DOCUMENT IMAGE CAPTURED BY USING CAMERA TO DEWARPED DOCUMENT IMAGE - A method and apparatus for generating a dewarped document using a document image captured using a camera are provided. The method includes obtaining the document image captures using the camera, extracting text lines from the document image captured using the camera, determining a projection formula to convert positions of respective points constituting the extracted text lines to coordinates projected on a plane of the dewarped document, determining a target function used to calculate a difference between text lines projected on the place of the dewarped document using the projection formula and real text lines, calculating parameters that minimize the target function, and converting the document image to the dewarped document by substituting the calculated parameters into the projection formula. | 04-02-2015 |
20150098657 | METHOD AND SYSTEM OF CREATING A VIDEO SEQUENCE - A method of creating a video sequence. The method comprises setting at least one repetitive reminder in a schedule managed by a handheld device having an image sensor, alarming a user according to the at least one repetitive reminder, capturing a sequence of images using the image sensor, automatically identifying a facial image depicting a face in a preset area in the sequence of images, automatically selecting the facial image, in response to the identification, and adding the facial image to a facial video sequence. | 04-09-2015 |
20150104102 | SEMANTIC SEGMENTATION METHOD WITH SECOND-ORDER POOLING - Feature extraction, coding and pooling, are important components on many contemporary object recognition paradigms. This method explores pooling techniques that encode the second-order statistics of local descriptors inside a region. To achieve this effect, it introduces multiplicative second-order analogues of average and max pooling that together with appropriate non-linearities that lead to exceptional performance on free-form region recognition, without any type of feature coding. Instead of coding, it was found that enriching local descriptors with additional image information leads to large performance gains, especially in conjunction with the proposed pooling methodology. Thus, second-order pooling over free-form regions produces results superior to those of the winning systems in the Pascal VOC 2011 semantic segmentation challenge, with models that are 20,000 times faster. | 04-16-2015 |
20150104103 | SURVEILLANCE CAMERA THAT RESPECTS PRIVACY - A surveillance camera obscures human features when people are present to preserve privacy. | 04-16-2015 |
20150104104 | METHODS AND APPARATUS FOR AUTOMATED TRUE OBJECT-BASED IMAGE ANALYSIS AND RETRIEVAL - An automated and extensible system for analysis and retrieval of images based on region-of-interest (ROI) analysis of one or more true objects depicted by an image is provided. The system uses a database that is a relational or analytical database containing searchable vectors that represent the images stored in a repository. Entries in the database are created by an image locator and ROI classifier working together to locate images within the repository and extract relevant information to be stored in the ROI database. The ROI classifier analyzes objects in an image to arrive at actual features of the true object. Graphical searches are performed by the collaborative workings of an image retrieval module, an image search requestor and an ROI query module. The image search requestor is an abstraction layer that translates user or agent search requests into the language understood by the ROI query. | 04-16-2015 |
20150110403 | AUTOMATICALLY DETERMINING THE SIZE OF A BLUR KERNEL - A computer-implemented method and apparatus are described for deblurring an image. The method may include accessing the image that has at least one blurred region and, automatically, without user input, determining a first value for a first size for a blur kernel for the at least one blurred region. Thereafter, automatically, without user input, a second value for a second size for the blur kernel is determined for the at least one blurred region. A suggested size for the blur kernel is then determined based on the first value and the second value. | 04-23-2015 |
20150110404 | AUTOMATICALLY SUGGESTING REGIONS FOR BLUR KERNEL ESTIMATION - A computer-implemented method and apparatus are described for automatically selecting a region in a blurred image for blur kernel estimation. The method may include accessing a blurred image and defining a size for each of a plurality of regions in the image. Thereafter, metrics for at least two of the plurality of regions are determined, wherein the metrics are based on a number of edge orientations within each region. A region is selected from the plurality of regions based on the determined metrics, and a blur kernel for deblurring the blurred image is then estimated for the selected region. The blurred image is then deblurred using the blur kernel. | 04-23-2015 |
20150117783 | ITERATIVE SALIENCY MAP ESTIMATION - In techniques for iterative saliency map estimation, a salient regions module applies a saliency estimation technique to compute a saliency map of an image that includes image regions. A salient image region of the image is determined from the saliency map, and an image region that corresponds to the salient image region is removed from the image. The salient regions module then iteratively determines subsequent salient image regions of the image utilizing the saliency estimation technique to recompute the saliency map of the image with the image region removed, and removes the image regions that correspond to the subsequent salient image regions from the image. The salient image regions of the image are iteratively determined until no salient image regions are detected in the image, and a salient features map is generated that includes each of the salient image regions determined iteratively and combined to generate the final saliency map. | 04-30-2015 |
20150117784 | IMAGE FOREGROUND DETECTION - In techniques for image foreground detection, a foreground detection module is implemented to generate varying levels of saliency thresholds from a saliency map of an image that includes foreground regions. The saliency thresholds can be generated based on an adaptive thresholding technique applied to the saliency map of the image and/or based on multi-level segmentation of the saliency map. The foreground detection module applies one or more constraints that distinguish the foreground regions in the image, and detects the foreground regions of the image based on the saliency thresholds and the constraints. Additionally, different ones of the constraints can be applied to detect different ones of the foreground regions, as well as to detect multi-level foreground regions based on the saliency thresholds and the constraints. | 04-30-2015 |
20150117785 | METHOD OF EXTRACTING VISUAL DESCRIPTOR USING FEATURE SELECTION AND SYSTEM FOR THE SAME - A method and system for extracting a visual descriptor using a feature selection are provided. The system includes an image input unit configured to receive an image, a candidate feature point group detecting unit configured to detect a point having a local maximum or minimum of local region filtering in scale-space images as being included in a candidate feature point group, a feature point selecting unit configured to calculate an importance for each candidate feature point, depending on its characteristics, select the candidate feature point as a feature point when its importance is greater than the predetermined threshold value, a dominant orientation calculating unit configured to calculate a dominant orientation of the selected feature point and a visual descriptor extracting unit configured to extract a patch for each feature point, according to its scale, location and dominant orientation, and extract a visual descriptor from the patch. | 04-30-2015 |
20150117786 | IMAGE CACHE FOR REPLACING PORTIONS OF IMAGES - Implementations relate to an image cache used for replacing portions of images. In some implementations, a method includes examining a received image and detecting a subject depicted in a subject portion of the received image. The method determines a likelihood that the subject portion will be used as a replacement to be inserted in place of one or more corresponding subject portions in future images examined at a later time. The subject portion, or a reference thereto, is stored in an image cache in response to the determined likelihood being greater than a predetermined threshold. The image cache is available to be searched for the subject portion and other portions of images to replace corresponding portions of future images. | 04-30-2015 |
20150125081 | METHOD AND APPARATUS FOR SELECTIVELY ENHANCING AN IMAGE - The present invention provides a method and apparatus for selectively enhancing regions in an image. In one embodiment, a digital image is read from an image source and is converted into a desired image model. One or more regions in the image having intensity values of pixels falling outside a pre-determined optimal intensity range are determined. The one or more regions in the image are then enhanced using a modeled light source of an optimal intensity such that the intensity value of pixels corresponding to the one or more regions in the image fall within the pre-determined optimal intensity range. | 05-07-2015 |
20150125082 | METHOD AND APPARATUS FOR GENERATING HIERARCHICAL SALIENCY IMAGES DETECTION WITH SELECTIVE REFINEMENT - A method of generating a saliency image, which includes: converting an input image into an input image of the first size and an input image of the second size; applying a saliency extraction scheme to the input image of the first size to generate a first saliency image; converting the first saliency image to the second size; extracting an area that satisfies a first condition from the converted first saliency image; determining an area of the input image of the second size that corresponds to the extracted area; and generating a second saliency image by multiplying an image generated by applying the saliency extraction scheme to the determined area, and the converted first saliency image. | 05-07-2015 |
20150131910 | Semantic Parsing of Objects in Video - Methods, systems, and computer program products for parsing objects in a video are provided herein. A method includes producing a plurality of versions of an image of an object derived from a video input, wherein each version has a different resolution of said image of said object; computing an appearance score at each of a plurality of regions on the lowest resolution version of said plurality of versions of said image for at least one attribute for said object, wherein said appearance score denotes a probability of the at least one attribute appearing in the region; determining a configuration of the at least one attribute in the lowest resolution version based on at least the appearance score in each of the plurality of regions in the lowest resolution version; and displaying said configuration. | 05-14-2015 |
20150139551 | Cascaded Object Detection - Cascaded object detection techniques are described. In one or more implementations, cascaded coarse-to-dense object detection techniques are utilized to detect objects in images. In a first stage, coarse features are extracted from an image, and non-object regions are rejected. Then, in one or more subsequent stages, dense features are extracted from the remaining non-rejected regions of the image to detect one or more objects in the image. | 05-21-2015 |
20150139552 | AUGMENTED REALITY INTERACTION IMPLEMENTATION METHOD AND SYSTEM - The present disclosure provides a method and system for realizing interaction in augmented reality. The method includes: collecting a frame image and uploads the frame image; recognizing a template image that matches the frame image and returning the template image; detecting a marker area of the frame image according to the template image; and superposing media data corresponding to the template image on the marker area and displaying the superposed image. | 05-21-2015 |
20150146987 | METHOD AND TERMINAL DEVICE FOR IMAGE PROCESSING - The present disclosure relates to a method and terminal device for processing an image. The method includes: acquiring face information from a template image, if receiving a request for processing an image containing a face; and applying a photo makeover on the face according to the face information acquired from the template image. By acquiring face information from a template image and automatically applying a photo makeover on the face according to the face information acquired from the template image, manual setting for makeover parameters will be avoided and the efficiency will be improved. | 05-28-2015 |
20150294155 | SYSTEM AND METHOD FOR ASSESSING RANGELAND - A method for monitoring changes in rangeland includes determining a percent coverage of land cover components in the rangeland, and mapping the land cover components using high resolution imagery. The method further includes linking the mapping to coarser imagery having a larger geographic extent, and interpolating land cover measurements spatially and temporally. | 10-15-2015 |
20150294178 | METHOD AND APPARATUS FOR PROCESSING IMAGE BASED ON MOTION OF OBJECT - An apparatus and method for processing an image based on a motion of an object, the apparatus including a motion estimator configured to estimate a motion of an object included in a current image, an image determiner configured to determine a neighboring image neighboring the current image based on the motion of the object, and a pixel value determiner configured to determine a pixel value of a hole region neighboring the object based on the neighboring image is provided. | 10-15-2015 |
20150294185 | MULTIPLE PARTIAL-IMAGE COMPOSITIONAL SEARCHING - Multiple partial-image selections are received. Each of the multiple partial-image selections includes a user-selected portion of one of a group of images. Partial-image search criteria are derived from a combination of the multiple partial-image selections. A search is performed for images that correspond to the partial-image search criteria derived from the combination of the multiple partial-image selections. Visual search results are returned. The visual search results include at least one identified image that includes features that correspond to the partial-image search criteria derived from the combination of the multiple partial-image selections. | 10-15-2015 |
20150294187 | IMAGE SEARCH APPARATUS AND CONTROL METHOD THEREOF - This invention suppresses bloating of indices for an image search. To accomplish this, when a target image to be registered is given, an apparatus described in this specification executes partial image search processing using the target image to be registered as a query image. As a result, if a corresponding image is found, and an already registered image includes the query image, the target image to be registered is registered as an image linked to the already registered image. | 10-15-2015 |
20150294189 | METHOD OF PROVIDING IMAGE FEATURE DESCRIPTORS - A method of providing a set of feature descriptors configured to be used in matching an object in an image of a camera is provided. The method includes: a) providing at least two images of a first object; b) extracting in at least two of the images at least one feature from the respective image, c) providing at least one descriptor for an extracted feature, and storing the descriptors; d) matching descriptors in the first set of descriptors; e) computing a score parameter based on the result of the matching process; f) selecting at least one descriptor based on its score parameter; g) adding the selected descriptor(s) to a second set of descriptors; and h) updating the score parameter of descriptors in the first set based on a selection process and to the result of the matching process. | 10-15-2015 |
20150294490 | SYSTEM AND METHOD FOR RELATING CORRESPONDING POINTS IN IMAGES WITH DIFFERENT VIEWING ANGLES - A system, method and computer program product for relating corresponding points in images with an overlapping scene. An example method includes generating transformed images of a target image using different image transformations for each of transformed images. Texture descriptors are extracted for feature points in the transformed images and a reference image. Matched feature points are identified and inliers from matched feature points are selected. An aligning transformation is generated using the inliers for at least one of the transformed images. A panorama image is created with the target image and reference image after the images are aligned. | 10-15-2015 |
20150302593 | Front-End Architecture for Image Processing - Systems and methods for image processing may perform one or more operations including, but not limited to: receiving raw image data from at least one imaging device; computing at least one image depth distance from the raw image data; computing one or more image validity flags from the raw image data; generating at least one data validity mask from the one or more image validity flags; determining a background imagery estimation from at least one image depth distance; generating at least one foreground mask from the background imagery estimation and the at least one image depth distance; generating at least one region-of-interest mask from the data validity mask and the foreground mask; and generating filtered raw image data from the raw image data and at least one region of interest mask. | 10-22-2015 |
20150310262 | APPARATUS AND METHOD OF DETERMINING FACIAL EXPRESSION TYPE - A method of determining a facial expression type may include extracting feature points representing facial characteristics from a facial image of a user; grouping the extracted feature points into a plurality of regions; and determining a facial expression type for each of a plurality of groups using feature points and a facial expression type function corresponding to each of the groups. | 10-29-2015 |
20150310296 | FOREGROUND REGION EXTRACTION DEVICE - According to one embodiment, a foreground region extraction device includes a processor and a detector. The processor acquires information of first distances at a first time between a first position and a first region. The processor acquires information of second distances at a second time between a second position and a second region. The processor derives a first image of the first region projected onto a first plane based on the first distances, and calculates a first feature based on the first image. The processor derives a second image of the second region projected on to a second plane based on the second distances and a relative arrangement of the first position and the second position and calculates a second feature based on the second image. The detector detects a moving body based on the first feature and the second feature. | 10-29-2015 |
20150325025 | IMAGE PROCESSING APPARATUS, METHOD OF PROCESSING IMAGE, AND COMPUTER-READABLE STORAGE MEDIUM - A method of processing an image involves detecting a face from a first image; determining a composition of the first image; selecting a composition of a second image according to the composition of the first image; and generating the second image including the face by trimming the first image, according to the composition of the second image. | 11-12-2015 |
20150332109 | LABEL FOR ENABLING VERIFICATION OF AN OBJECT - A label for enabling verification of an object includes a scannable region that enables determination of auto-acquired unique spatial orientation of the scannable region with respect to a reference thereby enabling determination of a spatial orientation of the label with respect to the reference. The label is applied onto the object and a change in the spatial orientation of the label indicates tampering of the label, thereby enabling verification of the object. Further, a method for detecting tampering of an object includes providing label on the object. The label has at least a portion which is scannable region with a plurality of patterns and is associated with an external reference point. Further, the method includes determining a first and a second spatial orientations of the label based on computation between the patterns and the reference point, and generating an alert on noticing a change between first and second spatial orientations. | 11-19-2015 |
20150332119 | Propagating Object Selection Across Multiple Images - Propagating object selection across multiple images is described. In one or more embodiments, an object is selected from a first image according to selection inputs. Features that are representative of the selected object are then ascertained. To propagate selection of the object to the second image, a determination is made as to whether the second image includes features that resemble those ascertained from the first image. Once a determination is made as to the features of the second image that resemble the features of the first image, the second image is divided into regions. Each of the regions includes pixels that are similar within the region, one pixel to another. The regions of the second image that include the features resembling those ascertained from the first image are then combined. The combined regions are used to select the object from the second image without receiving selection inputs to do so. | 11-19-2015 |
20150339526 | SYSTEMS AND METHODS FOR CLASSIFYING OBJECTS IN DIGITAL IMAGES CAPTURED USING MOBILE DEVICES - Systems and methods for mobile image data capture and processing are disclosed. The techniques encompass receipt or capture of digital image data, detecting an object such as a document depicted in a digital image corresponding to the digital image data, processing the digital image to improve image quality, classifying the object from the processed image data, and extracting useful information from the object. Processing may improve image quality by correcting artifacts such as distortion, skew, blur, shadows, etc. common to digital images captured using mobile devices. Classification is based on identifying unique features (and/or combinations thereof) within the image data and determining whether the identified features indicate the object belongs to a class of known objects having similar characteristics, or is unique to all known classes. Extraction is based in whole or in part on object classification. All operations may be performed using mobile technology exclusively. | 11-26-2015 |
20150347862 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, IMAGE PROCESSING SYSTEM, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM - Provided is an image processing apparatus including an image information acquiring unit that acquires image information of an image, a position information acquiring unit that acquires position information indicating a representative position of a designated region which is designated as a specific image region from the image by a user, and a region detection unit that detects the designated region from the position information, wherein region detection unit includes a range setting unit that sets a first range that is a range of first target pixels, or that changes a second range that is a range which is set for a second target pixel, and a determination unit that determines a designated region to which the first target pixel or the second target pixel belongs. | 12-03-2015 |
20150347863 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING SYSTEM - Provided is an image processing apparatus including an image information acquiring unit that acquires image information of an image, a position information acquiring unit that acquires position information of a containing region input by a user so as to contain a designated region that is a specific image region in the image, a first representative position setting unit that sets a first representative position that is a representative position of the designated region based on the position information of the containing region, a second representative position setting unit that sets a second representative position that is a representative position of a region-outside-designated-region that is a region outside the designated region, and a region detection unit that detects the designated region based on the first representative position and the second representative position. | 12-03-2015 |
20150356374 | OBJECT IDENTIFICATION DEVICE, METHOD, AND STORAGE MEDIUM - Disclosed is an object identification device and the like for reducing identification error in a reference image which presents an object that is only slightly difference from an object presented in an input image. The object identification device includes a local feature quantity matching unit for calculating geometric transformation information for transformation from a coordinate in a reference image to a corresponding coordinate in an input image, and matching a local feature quantity extracted from the reference image and a local feature quantity extracted from the input image, an input image different area determination unit for transforming the different area in the reference image on a basis of the geometric transformation information about the input image determined to be in conformity by the matching, and determining a different area in the input image corresponding to the different area in the reference image, an input image different area feature quantity extraction unit for correcting a different area in the input image, and extracting a feature quantity from the corrected different area of the input image, and a feature quantity matching unit for matching a feature quantity extracted by the input image different area feature quantity extraction unit and a feature quantity extracted from the different area in the reference image, and outputting a matching result. | 12-10-2015 |
20150363661 | METHODS AND APPARATUS FOR ONE-DIMENSIONAL SIGNAL EXTRACTION - Methods and apparatus are disclosed for extracting a one-dimensional digital signal from a two-dimensional digital image along a projection line. In some embodiments a repeating sequence of pixel weight templates, and a sequence of relative positions, are selected in response to the orientation of a projection line and used to compute a sequence of weighted sums. The sequence can be selected to achieve desirable properties, for example photometric accuracy, geometric accuracy, resolution, and/or noise reduction. In some embodiments registers and multiply-accumulators are arranged and controlled so as to compute the 1D signal. | 12-17-2015 |
20150363662 | IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS - An image processing apparatus performs an image recognition process, such as pattern matching or contour detection, on image data supplied from an image pickup device, and stores history data of the image recognition process in an external storage apparatus. In this case, an extraction image is extracted from an extraction region determined in accordance with the image recognition process performed on the input image data and is stored in the external storage device as history data. Furthermore, the history data logged in the external storage device may include a compressed image that is obtained by compressing, using lossy compression, the entire image data subjected to the image processing performed by the image processing apparatus. | 12-17-2015 |
20150371103 | SYSTEM AND METHOD FOR IDENTIFICATION OF PRINTED MATTER IN AN IMAGE - A system and method of identifying a printed matter in an image that includes the printed matter by rectifying the image, identifying a series of pre-defined areas in the image relative to a frame or other form in the printed matter in the image, and comparing a characteristic of the pre-defined area in the printed matter in the image, to a characteristic of a corresponding pre-defined area from a sample of printed matters. | 12-24-2015 |
20150379353 | METHOD AND APPARATUS FOR ROLE IDENTIFICATION DURING MULTI-DEVICE VIDEO RECORDING - A method, apparatus and computer program product are provided to effectively and efficiently summarize the video of an event captured by a plurality of image capturing devices, such as by the creation of a remix. In the context of a method, user input is received that designates video content from a respective device to be utilized for semantic analysis. The method also includes analyzing, with a processor, the video content to identify one or more salient events. Further, the method includes causing to be provided information regarding designation of video content for semantic analysis and information regarding the one or more salient events. | 12-31-2015 |
20150379364 | OBJECT DETECTION APPARATUS - An object detection apparatus includes means for acquiring image data from an in-vehicle imaging device and means for extracting, from the image data acquired by the acquiring means, an object region which is an image region where a preset object exists. Moreover, the extracting means includes means for identifying the object region, means for measuring the processing time of the identifying means and controlling means. The identifying means includes a plurality of identifiers for identifying candidate regions for the object region. The identifiers are serially linked so as to sequentially refine the candidate regions. The controlling means controls, based on the measured processing time at a preset time point, a degree of refining the candidate regions by the identifying means after the preset time point by adjusting at least one of the linkage between the identifiers and processes to be executed by the identifiers after the preset time point. | 12-31-2015 |
20150379694 | STRUCTURE PROPAGATION RESTORATION FOR SPECTRAL CT - A method includes obtaining at least one of projection data from a spectral scan or image data generated from the projection data, selecting a local reference dataset from the at least one of the projection data or the image data, determining a noise pattern for the selected reference dataset, estimating underlying local structure from the reference dataset based on the noise pattern, and restoring at least one of the projection data or the image data based on the estimated underlying local structure. | 12-31-2015 |
20160004930 | ROBUST AND EFFICIENT IMAGE IDENTIFICATION - Apparatus for matching a query image against a catalog of images, comprises: a feature extraction unit operative for extracting principle features from said query image; a relationship unit operative for establishing relationships between a given principle feature and other features in the image, and adding said relationships as relationship information alongside said principle features; and a first comparison unit operative for comparing principle features and associated relationship information of said query image with principle features and associated relationship information of images of said catalog to find candidate matches. | 01-07-2016 |
20160012578 | Automatic Image Orientation and Straightening through Image Analysis | 01-14-2016 |
20160019428 | VIDEO STREAM EVALUATION - The invention relates to a method for recognizing activities detected in video streams. In this case, it is intended that data relating to frame differences are accumulated for frame sequences in fields, gradients and/or value difference intervals are determined in the accumulator fields, and activity is concluded from the gradients. | 01-21-2016 |
20160019677 | IMAGE PROCESSING SYSTEM WITH ARTIFACT SUPPRESSION MECHANISM AND METHOD OF OPERATION THEREOF - An image processing system, and a method of operation thereof, includes: a local patch ternarization module for receiving an input image, for calculating a mean value of a local patch of pixels in the input image, and for calculating ternary values for the pixels based on the mean value; and an artifact removal module, coupled to the local patch ternarization module, for removing a residue artifact based on the ternary values and for generating an output image with the residue artifact removed for sending to an image signal processing hardware. | 01-21-2016 |
20160027151 | Techniques for Automatically Correcting Groups of Images - Disclosed are various embodiments for a computing device that receives input, from a user, selecting an area of a displayed image, where the area includes the blemish sought to be corrected by the user. The computing device identifies a spot pattern of the blemish to be corrected within the area and a context pattern of the displayed image. The computing device corrects the spot pattern of the blemish within the displayed image. The computing device identifies related images that have context patterns similar to the context pattern of the displayed image. The computing device automatically corrects similar instances of the spot pattern appearing within the related images. | 01-28-2016 |
20160027159 | LOW MEMORY CONTENT AWARE IMAGE MODIFICATION - Techniques are disclosed for generating a modified image. A source image at an original, or high, resolution is downsampled to a lower resolution. One or more mappings between different patches, or regions, of pixels within the source image or across several images are generated from the downsampled image using a patch-based sampling algorithm. Such patch-based sampling algorithms may be used find correspondences between patches of one or more images by defining a nearest-neighbor field as a function of offsets for some distance function of the patches. The mapping is then upsampled to a higher resolution for coherent regions and used to identify fill content in the source image for filling patches in other portions of the image or other images. The fill content is derived from regions of the source image corresponding to the coordinates of the source patch in the upsampled mapping. | 01-28-2016 |
20160027180 | METHOD FOR RETRIEVING IMAGE AND ELECTRONIC DEVICE THEREOF - The present disclosure relates to image retrieval in an electronic device. An operating method of an electronic device includes determining an object included in an image and a position of extent occupied by the object in the image and retrieving at least one image including the object at the position from among a plurality of images. | 01-28-2016 |
20160034780 | METHOD AND DEVICE FOR DETECTING INTEREST POINTS IN IMAGE - The present invention provides a method and a device for detecting interest points in an image. The method includes: acquiring an original input image; performing down-sampling processing on the original input image, so as to obtain a plurality of sampling images with different resolutions; dividing each sampling image into a plurality of small image blocks; performing filtering processing on the plurality of small image blocks in each sampling image in sequence by using Laplacian-of-Gaussian filters, so as to obtain filtered images of the plurality of small image blocks in each sampling image; and acquiring interest points in an image in filtered images of the plurality of small image blocks in each sampling image. The present invention is used for solving the problems of more memory consumption and a low detection speed in the prior art. | 02-04-2016 |
20160034783 | DETECTING SPECIFIED IMAGE IDENTIFIERS ON OBJECTS - Embodiments of the present application relate to a method, apparatus, and system for detecting a specified image identifier. The method includes retrieving a target image to be detected from a predetermined area, binarizing the target image to be detected to obtain a target binary image to be detected, calibrating connected domains of the target binary image to be detected, successively retrieving image features of candidate connected domains, and comparing the image features corresponding to the candidate connected domains to image features of a standard specified identifier image, wherein the candidate connected domains are determined based at least in part on the calibration of the connected domains, and determining a candidate connected domain as the location of the specified identifier image based at least in part on the comparison of the image features corresponding to the candidate connected domains to image features of the standard specified identifier image. | 02-04-2016 |
20160042527 | APPARATUS AND METHOD FOR SEARCHING FOR IMAGE - An apparatus and a method for searching for an image are provided. The apparatus includes an image receiver configured to receive an image to be searched for; an image processor configured to detect an edge of the received image and to filter pixels included on the edge of the received image based on parameters related to gradients of the edge of the received image; and an image search unit configured to search for one or more images related to the image to be searched for based on the filtered pixels included on the edge of the received image. | 02-11-2016 |
20160048978 | METHOD AND APPARATUS FOR AUTOMATIC KEYFRAME EXTRACTION - A method for extracting keyframes from a sequence of frames for a computer vision application using structure from motion, the keyframes being a subset of representative frames from the complete sequence of frames, and an apparatus configured to perform the method are described. A subset selector selects a subset of keyframes that closely match a current camera position from already available keyframes. A determination unit then determines whether a current frame should be included a bundle adjustment keyframe set and/or a triangulation keyframe set. | 02-18-2016 |
20160055368 | FACE ALIGNMENT WITH SHAPE REGRESSION - The subject matter described herein relates to face alignment via shape regression. A method, computer storage medium, and system are provided. In one embodiment, the method comprises receiving an image including a face; and performing shape regression to estimate a facial shape in the image. For each stage in the shape regression, a local feature is extracted from a local region around each facial landmark in the image independently; and a joint projection is performed based on local features of multiple facial landmarks to predict a facial shape increment. Then, a facial shape of a current stage is generated based on the predicted facial shape increment and a facial shape of a previous stage. | 02-25-2016 |
20160063343 | METHOD FOR SELECTING FRAMES FROM VIDEO SEQUENCES BASED ON INCREMENTAL IMPROVEMENT - The present application is directed to new methods for automatically and effectively combining multiple metrics to select interesting, or key, frames from a video sequence. In one aspect, the methods include selecting a reference frame from a video sequence and iteratively computing the improvement or gain in the combined metrics for candidate frames with respect to that reference frame. In another aspect, a master list of reference key frames is determined, quality metrics are calculated for each of a plurality of candidate frames associated with each reference key frame, and each reference key frame in the master list is replaced with a candidate frame that yields the greatest aggregate quality improvement over that reference key frame. | 03-03-2016 |
20160063345 | PATTERN RECOGNITION APPARATUS, PATTERN RECOGNITION METHOD, AND STORAGE MEDIUM - A pattern recognition apparatus extracts a feature amount of each of a plurality of pixels included in an input image, and calculates, for each of the plurality of pixels, a degree of matching between the feature amount of the pixel and the feature amount of each of one or more pixels included in a peripheral area of the pixel. Then, the pattern recognition apparatus estimates a position of each of a plurality of objects to be recognized by voting for one or more of the plurality of objects to be recognized from each of the plurality of pixels based on the extracted feature amount and the calculated degree of matching. | 03-03-2016 |
20160063714 | IMAGE LOCATION SELECTION FOR USE IN DEPTH PHOTOGRAPHY SYSTEM - Image location selection is described for use in a depth photography system. In one example, a method includes receiving a selection from a user of a position in a captured image, comparing the selected position to objects in the image, selecting whether the selected position is intended to be within an object or outside an object, refining the position based on the selection, and determining a depth for an object corresponding to the refined position. | 03-03-2016 |
20160063715 | METHOD, SYSTEM AND APPARATUS FOR FORMING A HIGH RESOLUTION DEPTH MAP - An input depth map is received having less resolution than an image. From a window region about an image pixel of the image, pixels are selected having a substantially similar characteristic value as the image pixel. A reference depth value is determined for the image pixel from depth values in the input depth map which correspond to each of the selected pixels. Weights are determined for each pixel within the window region based on a difference between a depth value corresponding to each of the selected pixels and the determined reference depth value for the image pixel. A refined depth value is determined for the image pixel from a weighted sum of the depth values corresponding to each of the selected pixels. A high resolution depth map corresponding to the image is determined from the refined depth value. | 03-03-2016 |
20160070955 | PORTRAIT GENERATING DEVICE AND PORTRAIT GENERATING METHOD - A portrait generating device has an image acquisition unit that acquires a facial image in which an object person is photographed, an image correction unit that generates a corrected facial image by performing correction processing on the facial image, at least a part of the face being corrected in the correction processing, and a portrait generator that generates a portrait of the object person using the corrected facial image. | 03-10-2016 |
20160070970 | ARCHITECTURE AND METHOD FOR REAL-TIME PARALLEL DETECTION AND EXTRACTION OF MAXIMALLY STABLE EXTREMAL REGIONS (MSERS) - Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes a communication interface and processing circuitry that are configured in hardware to receive a data stream of an intensity image in real-time and provide labels for light image regions and dark image regions within the intensity image that match a given intensity threshold during a single processing pass. The communication interface and processing circuitry are also configured in hardware to find extremal regions within the intensity image based upon the labels and to determine MSER ellipses parameters based upon the extremal regions and MSER criteria. In at least one embodiment, the MSER criteria include minimum and maximum MSER areas, and an acceptable growth rate value for MSER areas. In another embodiment, the MSER criteria include a nested MSER tolerance value. | 03-10-2016 |
20160070975 | ARCHITECTURE FOR REAL-TIME EXTRACTION OF EXTENDED MAXIMALLY STABLE EXTREMAL REGIONS (X-MSERs) - Architecture for real-time extraction of maximally stable extremal regions (MSERs) is disclosed. The architecture includes communication interface and processing circuitry that is adapted in hardware to receive a data streams of an intensity image and a depth image in real-time and provide intensity labels for image regions within the intensity image that match a given intensity threshold and provide depth labels for image regions within the depth image that match a given depth threshold. The processing circuitry is also adapted in hardware to find intensity extremal regions within the intensity image based upon the intensity labels and to find depth extremal regions within the depth image based upon the depth labels. The processing circuitry determines strong extremal regions based upon significant overlap between the intensity extremal regions and depth extremal regions. The processing circuitry then determines X-MSER ellipses parameters based upon the strong extremal regions and X-MSER criteria. | 03-10-2016 |
20160086014 | IMAGE PROCESSING APPARATUS, METHOD OF PROCESSING IMAGE, AND COMPUTER-READABLE STORAGE MEDIUM - A method of processing an image involves detecting a face from a first image; determining a composition of the first image; selecting a composition of a second image according to the composition of the first image; and generating the second image including the face by trimming the first image, according to the composition of the second image. | 03-24-2016 |
20160086334 | A METHOD AND APPARATUS FOR ESTIMATING A POSE OF AN IMAGING DEVICE - Embodiments relate to a method and a technical equipment for estimating a camera pose. The method comprises obtaining query binary feature descriptors for feature points in an image; placing a selected part of the obtained query binary feature descriptors into a query binary tree; and matching the query binary feature descriptors in the query binary tree to database binary feature descriptors of a database image to estimate a pose of a camera. | 03-24-2016 |
20160092730 | CONTENT-BASED DOCUMENT IMAGE CLASSIFICATION - Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for classifying one or more document images based on its content by determining blocks layout of the document image; recognizing the document image to obtain digital content data representing text content or the potential graphical content of the image; calculating feature values of the document image for features based on the digital content data and the blocks layout; and classifying the document image as belonging to one of document classes based on the calculated feature values. | 03-31-2016 |
20160098852 | MULTOCULAR IMAGING SYSTEM, SYNTHESIS PROCESS METHOD OF ACQUIRED IMAGES, AND PROGRAM - A basis image is converted into a more functional image by image synthesis technology using a number of imaging devices arranged independently of each other. A multocular imaging system is provided with a plurality of imaging parts that can be arranged independently of each other, a similar component search part operable to acquire a basis image outputted from at least one imaging part of the plurality of imaging parts and a reference image outputted from another imaging part of the plurality of imaging parts and to search a similar component included in the reference image for each of components included in the basis image, and an image synthesis part operable to perform a synthesis process on at least one component included in the basis image into a desired image with reference to the similar component extracted by the similar component search part and to output the desired image as a synthesis image. | 04-07-2016 |
20160110842 | SEMICONDUCTOR DEVICE, ELECTRONIC APPARATUS, AND IMAGE PROCESSING METHOD - A semiconductor device | 04-21-2016 |
20160117570 | NOTE RECOGNITION AND MANAGEMENT USING COLOR CLASSIFICATION - This disclosure describes techniques for creating and manipulating software notes representative of physical notes. For example, techniques are described for recognizing physical notes present within a physical environment, capturing information therefrom and creating corresponding digital representations of the physical notes, referred to herein as digital notes or software-based notes. At least some aspects of the present disclosure feature system and methods for note recognition using color classification. The system receives a visual representation of a scene having one or more notes, where each note has a color. The system generates indicators indicative of color classes of pixels in the visual representation. The system further determines a general boundary of one of the notes based on the indicators. | 04-28-2016 |
20160117842 | OBJECT EXTRACTION FROM VIDEO IMAGES - A computer implemented method of object extraction from video images, the method comprising steps a computer is programmed to perform, the steps comprising: receiving a plurality of video images, deriving a plurality of background templates from at least one of the received video images, calculating a plurality of differences from an individual one of the received video images, each one of the differences being calculated between the individual video image and a respective and different one of the background templates, and extracting an object of interest from the individual video image, using a rule applied on the calculated differences. | 04-28-2016 |
20160125253 | METHOD AND APPARATUS FOR IMAGE MATCHING - Disclosed is a method and apparatus for computation and processing of an image for image matching. The apparatus here is configured to pre-process plurality of images for creating an image template. Next, the test image is extracted and pre-processed for assessing the degree of match between the test image components and the image components of the images in the image template, based a position based matching score, a feature based matching score or both. | 05-05-2016 |
20160125263 | METHOD TO COMPUTE SLIDING WINDOW BLOCK SUM USING INSTRUCTION BASED SELECTIVE HORIZONTAL ADDITION IN VECTOR PROCESSOR - This invention forms a block sum of picture elements employing a vector dot product instruction to sum packed picture elements and the mask producing a vector of masked horizontal picture element. The block sum is formed from plural horizontal sums via vector single instruction multiple data (SIMD) addition. | 05-05-2016 |
20160125577 | METHOD AND SYSTEM FOR PATCHING UP A POINT CLOUD OF AN OBJECT - A method for patching up a point cloud comprises obtaining a point cloud and a predetermined interval and a filtering parameter of curvature. Then a void in the point cloud which needs to be patched up is identified. A minimum encasing box is created to enclose the void. Points inside the minimum encasing box and outside the void are selected to create a B-spline curve surface. The B-spline curve surface are interpolated by the predetermined interval to obtain a plurality of discrete points which are used to patch up the void. Messy points in the void according to the predetermined interval and the filtering parameter of curvature are determined and deleted. Positions of the points in the void are adjusted along their normal vector directions to smooth the point cloud. | 05-05-2016 |
20160132730 | Semantic Parsing of Objects in Video - Methods, systems, and computer program products for parsing objects are provided herein. A method includes producing a plurality of versions of an image of an object derived from an input, wherein each version comprises one of one multiple resolutions of said image of said object; computing an appearance probability at each of a plurality of regions on the one or more lowest resolution versions of said plurality of versions of said image for at least one attribute for said object; determining a configuration of the at least one attribute in the one or more lowest resolution versions based on at least the appearance probability in each of the plurality of regions; and outputting said configuration. | 05-12-2016 |
20160133038 | DISPLAY DEVICE, DISPLAY CONTROL METHOD, AND DISPLAY SYSTEM - A display device includes: an input unit which has image data inputted from an image supply device; a detection unit which detects a position of an indicator and generates indicator information including information about the detected position; a setting unit which sets a mode for processing of the indicator information to a first mode or a second mode; a drawing unit which draws a second image generated on the basis of the indicator information and superimpose the second image on a first image generated on the basis of the inputted image data; a selection unit which outputs the indicator information to the drawing unit if the first mode is set and which outputs the indicator information to the image supply device if the second mode is set; and a drawing control unit which erases the second image if a switching from the first mode to the second mode is carried out. | 05-12-2016 |
20160140413 | DEVICE AND METHOD FOR DETERMINING WEIGHT, IN PARTICULAR THE WEIGHT OF A CONTAINER FILLED WITH PRODUCT - The invention relates to a device and a method for determining the weight of product ( | 05-19-2016 |
20160140699 | AUTOMATICALLY IDENTIFYING AND HEALING SPOTS IN IMAGES - Systems and methods are provided for automatically identifying and healing spots in images. In an embodiment, a method receives, at a computing device, a selection of an area of an image, the area having a center. The method includes calculating, by the computing device, pixel values of pixels in the selected area and determining, based at least in part on the calculated pixel values, a threshold value. The method further includes detecting, based at least in part on comparing pixel values in the selected area to the threshold value, one or more spots in the selected area. The method also includes creating, by the computing device, a mask for the one or more spots. The method replaces pixels in the mask with non-spot pixels. | 05-19-2016 |
20160140715 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING SYSTEM, AND INFORMATION PROCESSING METHOD - An image search device includes: a search unit that retrieves an image similar to a search target image from a registration unit where an image and link information are registered in an associated manner; and a transmission unit that transmits, to a terminal device, the link information associated with the retrieved image. An information processing apparatus controls registration of an image and link information in the registration unit. The information processing apparatus extracts a predetermined area from a registration target image to be registered in the registration unit, transmits an image of the predetermined area to the search unit, and determines whether a similar image including an image similar to the predetermined area is registered in the registration unit based on a search result of the search unit. In the case where determination is made that a similar image is registered in the registration unit, such a fact is notified. | 05-19-2016 |
20160140755 | IMAGE SEARCH FOR A LOCATION - Provided are techniques for image search for a location. Street view data is extracted to identify a path for a region. Points of interest for the path are identified. Images for the points of interest for a direction of the path are identified. The images are used to create a sequence of images representing a view of the points of interest along the direction of the path. The sequence of images are displayed adjacent to a map that includes the path. | 05-19-2016 |
20160148070 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM - An image processing apparatus, an image processing method, and a recording medium realize identification of an object region and a region category with high precision, estimate a relationship between partial regions in an acquired image by using a database about relationships between the images, and determine a target region in the acquired image based on the relationship. | 05-26-2016 |
20160154995 | IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND RECORDING MEDIUM | 06-02-2016 |
20160155231 | HEAD-MOUNTABLE APPARATUS AND SYSTEMS | 06-02-2016 |
20160162734 | DOCUMENT AUTHENTICATION USING EXTRACTED DIGITAL FINGERPRINTS - Methods and systems for detecting changes, alterations and forgeries in documents utilize digital fingerprinting. A set of documents of a given type that are known to be altered or forgeries are scanned and “fingerprinted” to build a forgery database. Suspect documents are scanned and the resulting fingerprint data is used to query the forgery database to look for matching records, although a match need not be exact. Matches may be counted and compared to a threshold number to assess a confidence that a document is forged or not. The fingerprinting may be directed to at least one authentication region of a document, and one or more features in a region may be incorporated into a fingerprint of the document. | 06-09-2016 |
20160162752 | RETRIEVAL APPARATUS, RETRIEVAL METHOD, AND COMPUTER PROGRAM PRODUCT - According to an embodiment, a retrieval apparatus includes a receiver, a retrieval processor, and a display controller. The receiver is configured to receive a first image. The retrieval processor is configured to retrieves a second image based on first element information, the first element information comprising one or more of a category, a position, a size, a shape, and a color associated with the first image, the first image comprising one or more first image elements. The display controller is configured to display, the second image with at least a first symbol image symbolizing the one or more first image elements on a display. | 06-09-2016 |
20160167669 | SYSTEMS AND METHODS FOR DETERMINING A CONDITION OF A ROAD SURFACE | 06-16-2016 |
20160171017 | MOBILE POSITIONING APPARATUS AND POSITIONING METHOD THEREOF | 06-16-2016 |
20160188994 | METHOD AND SYSTEM OF FEATURE MATCHING FOR MULTIPLE IMAGES - A system, article, and method of feature matching for multiple images. | 06-30-2016 |
20160188998 | AUTOMATICALLY DETERMINING THE SIZE OF A BLUR KERNEL - A computer-implemented method and apparatus are described for deblurring an image. The method may include accessing the image that has at least one blurred region and, automatically, without user input, determining a first value for a first size for a blur kernel for the at least one blurred region. Thereafter, automatically, without user input, a second value for a second size for the blur kernel is determined for the at least one blurred region. A suggested size for the blur kernel is then determined based on the first value and the second value. | 06-30-2016 |
20160189343 | IMAGE CROPPING - Briefly, embodiments disclosed herein relate to image cropping, such as for digital images, for example. | 06-30-2016 |
20160196283 | METHOD AND APPARATUS FOR SEARCHING IMAGES | 07-07-2016 |
20160196473 | Video Extraction Method and Device | 07-07-2016 |
20160203584 | IMAGING ADJUSTING METHOD CAPABLE OF VARYING SCALING RATIOS AND RELATED CAMERA AND IMAGE PROCESSING SYSTEM | 07-14-2016 |
20160203585 | Systems and Methods for Automated Image Cropping | 07-14-2016 |
20160253571 | Methods and Systems for Suppressing Non-Document-Boundary Contours in an Image | 09-01-2016 |
20160253811 | APPARATUS AND METHOD FOR GENERATING DEPTH MAP | 09-01-2016 |
20170236028 | DIGITAL IMAGE PRESENTATION | 08-17-2017 |
20180025436 | METHOD AND SYSTEM FOR EXTRACTING MATHEMATICAL STRUCTURES IN TABLES | 01-25-2018 |