| Entries |
| Document | Title | Date |
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| 20080240574 | SYSTEM AND METHOD FOR IDENTIFYING IMAGE BASED ON SINGULAR VALUE DECOMPOSITION AND FEATURE POINT - A system and method for identifying an image based on singular value decomposition is provided. The system includes: a feature point extracting module for extracting at least one of feature points from an input image using strength of a Gaussian curvature of each pixel from the input image; an identifier detecting module for detecting a local identifier based on SVD (singular value decomposition) for blocks adjacent to the extracted feature points; and a matching module for determining whether an image is duplicated or not by comparing the detected local identifier from the identifier detecting module with an image database storing at least one of images. | 10-02-2008 |
| 20080267509 | Automatic Determination of Parameters of an Imaging Geometry - The apparatus ( | 10-30-2008 |
| 20090028437 | DOCUMENT EXTRACTING METHOD AND DOCUMENT EXTRACTING APPARATUS - Document data corresponding to each page included in a document is stored, and furthermore, feature data indicative of a feature of the document data and a document index indicating the document are associated with the document data. A document extracting apparatus obtains input document data, calculates feature data from the input document data, judges similarity between the input document data and the document data based on the feature data, obtains a document index associated with document data similar to the input document data, and extracts a plurality of pieces of document data associated with the document index. Thus, document data concerning the document including a page corresponding to the document data similar to the input document data is extracted for a plurality of pages. | 01-29-2009 |
| 20090041360 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - The present invention provides an image processing apparatus capable of preventing deterioration of judgment accuracy when performing document matching process. To be more specific, when selecting feature points in the neighborhood of a target feature point, a predetermined number of feature points are selected after excluding a prespecified number of feature points in turn from the feature point nearest to the target feature point. For example, when the plurality of feature points are selected, the plurality of feature points, after excluding at least a feature point existing at a position nearest to the target feature point, are selected. Thereby, without increasing the amount of feature points for calculation of features (feature vectors), it is possible to prevent the deterioration of judgment accuracy. | 02-12-2009 |
| 20090067727 | IMAGE MATCHING APPARATUS, IMAGE MATCHING METHOD, AND IMAGE DATA OUTPUT PROCESSING APPARATUS - In an image matching apparatus of the present invention, only a connected region in which the number of pixels included therein exceeds a threshold value, among connected regions that are specified by a labeling process section, is sent to a centroid calculation process section from a threshold value processing section, and a centroid (feature point) of the connected region is calculated. When it is determined that a target document to be matched is an N-up document, the threshold value processing section uses, instead of a default threshold value, a variant threshold value that varies depending on the number of images laid out on the N-up document and a document size that are found and detected by an N-up document determination section and a document size detection section. This makes it possible to determine a similarity to a reference document with high accuracy even in a case of an N-up document, i.e., a case where each target image to be matched is reduced in size from an original image. | 03-12-2009 |
| 20090103814 | Information Processing Apparatus, Information Processing Method, and Program - An information processing apparatus that compares a query image and a model image and provides support information for discriminating a subject of the model image from a subject of the query image is disclosed. The information processing apparatus includes: a feature point extracting means extracting one or more feature points from the model image; a feature describing means describing features of the one or more feature points extracted by the feature point extracting means; and a discrimination capability value calculating means generating correlation images among the features described by the feature describing means, the extracted model image, and one or more other model images for the one or more feature points extracted by the feature point extracting means, and calculating a discrimination capability value indicating the degree of contribution to discriminating the subject of the model image on the basis of the correlation images. | 04-23-2009 |
| 20090116751 | Image Discrimination Apparatus - An image discrimination apparatus includes an inter-frame distance calculating unit | 05-07-2009 |
| 20090136138 | Methods and Device for the Determination and Reconstruction of a Predicted Image Area - A method determines a predicted image area for an image area, in which a temporal predictor for the image area is determined based on a reconstructed image that precedes said image, a local predictor for the image area is determined within a reconstructed image area of the image, a margin of error between the image area and the image area predicted image area is determined by the local predictor using the reconstructed image area and by the temporal predictor using one of the preceding images. A predicted image area can be reconstructed. Also disclosed are an establishing device for carrying out the method for determining a predicted image area as well as a reconstructing device for carrying out the reconstruction method. | 05-28-2009 |
| 20090141984 | Information Processing Apparatus, Information Processing Method, Image Identifying Apparatus, Image Identifying Method, and Program - An information processing apparatus includes a model image obtaining unit configured to obtain a plurality of model images; a model image feature quantity extracting unit configured to extract feature quantities of the model images obtained by the model image obtaining unit; a matching unit configured to perform matching on the feature quantities of the model images extracted by the model image feature quantity extracting unit; and an identifying feature point extracting unit configured to extract, as a result of the matching performed by the matching unit, feature points having a low correlation with a predetermined model image in similar model images that are the model images having a predetermined number or more of the feature quantities that match feature quantities of the predetermined model image, the extracted feature points being regarded as identifying feature points used for identification of the respective similar model images. | 06-04-2009 |
| 20090196508 | THREE-DIMENSIONAL SYSTEM AND METHOD FOR CONNECTION COMPONENT LABELING - Embodiments disclosed include methods and systems for three dimensional connected component labeling, including determining a location value for each of one or more labels, each location value identifying a maximum “y” extent and a maximum “z” extent of an associated label region; storing each of the one or more labels that refer to areas subsumed in a determination of the maximum y extent in the maximum “z” extent as a yzMax location value; buffering in a frame buffer the one or more of labels; and providing access via a three-dimensional kernel to one or more values in a current line buffer and/or a current array and/or a previous array. | 08-06-2009 |
| 20090220156 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, PROGRAM, AND STORAGE MEDIUM - A large number of stable local regions can be set with low calculation cost. In a face recognition apparatus which discriminates similar face images using feature amounts extracted from local regions included in an image to be discriminated, a moving destination of a feature point extracted from the image to be discriminated, and the size of an image to be clipped at the moving destination are calculated based on a table which defines information required to designate a moving destination of each feature point, and information required to designate the size of an image to be clipped at the moving destination, and an image with the calculated size is clipped at the calculated moving destination as the local region. | 09-03-2009 |
| 20090220157 | FEATURE POINT LOCATION DETERMINATION METHOD AND APPARATUS - A method for determining feature point locations in an image performs a first search in a predetermined first search area to search for locations of plural feature points in the image, corrects the locations of the plural feature points based on a geometric layout relationship among the plural feature points searched for, sets a second search area based on the corrected location of each of the feature points, and performs a second search in the second search area to search for the location of each of the feature points. Then, the method determines reliability of the location of each feature point searched for by the second search and selects one of the corrected location and the location searched for by the second search, as a location of the feature point. | 09-03-2009 |
| 20090220158 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, COMPUTER PROGRAM - An image processing apparatus | 09-03-2009 |
| 20090274373 | Image processing apparatus and method for generating coordination calibration points - The invention provides an image processing apparatus for generating coordination calibration points. The image processing apparatus includes a subtracting module, an edge detection module and an intersection point generation module. The subtracting module subtracts a first image from a second image to generate a first subtracted image, and subtracts the first image from a third image to generate a second subtracted image. The edge detection module performs an edge detection process for the first subtracted image to generate a first edge image, and performs the edge detection process for the second subtracted image to generate a second edge image, wherein the first edge image includes a first edge and the second edge image includes a second edge. The intersection point generation module generates, according to the first and second edges, an intersection point pixel, serving as the coordination calibration point corresponding to the first edge and the second edge. | 11-05-2009 |
| 20090310869 | SYSTEM, APPARATUS, METHOD, AND COMPUTER PROGRAM PRODUCT FOR DETERMINING SPATIAL CHARACTERISTICS OF AN OBJECT USING A CAMERA AND A SEARCH PATTERN - A system, apparatus, method, and computer program product for evaluating an object disposed on an upper surface of an object holder. At least one first frame representing a captured portion of the object is acquired, while the object holder is positioned at each of multiple locations. At least one second frame representing a captured portion of at least one other surface of the object holder is acquired, while the object holder is positioned at each of the locations. At least one spatial characteristic associated with the captured portion of the object is determined based on at least one of the acquired frames. Values of multiple optical markers captured in each second frame are determined, where at least two of the optical markers have different characteristics. At least one of coordinates associated with the values and an orientation of the captured portion of the at least one other surface are determined. | 12-17-2009 |
| 20100040292 | ENHANCED DETECTION OF WAVING ENGAGEMENT GESTURE - The enhanced detection of a waving engagement gesture, in which a shape is defined within motion data, the motion data is sampled at points that are aligned with the defined shape, and, based on the sampled motion data, positions of a moving object along the defined shape are determined over time. It is determined whether the moving object is performing a gesture based on a pattern exhibited by the determined positions, and an application is controlled if determining that the moving object is performing the gesture. | 02-18-2010 |
| 20100046840 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD FOR EVALUATING A PLURALITY OF IMAGE RECOGNITION PROCESSING UNITS - An image processing method includes sending test image data to a plurality of image recognition units configured to detect a recognition object from an image, setting an evaluation condition for evaluating a recognition result, evaluating a recognition result of the test image data by each of the plurality of image recognition units under the evaluation condition, and selecting from the plurality of image recognition units an image recognition unit to be used based on an evaluation result by the evaluation. | 02-25-2010 |
| 20100061639 | METHOD OF IDENTIFYING SYMBOLIC POINTS ON AN IMAGE OF A PERSON'S FACE - A method for identifying symbolic points on the image of a face including images of a right eye, left eye and mouth, includes:
| 03-11-2010 |
| 20100067804 | Method and equipment for measuring feature points of wave signal - A measuring method and equipment for detecting quickly and with high precision feature points (peak points or trough points) of a waveform even with waveform signals with irregular feature point values or irregular distances between feature points as in the density waveform signals or the like obtained from tree ring images or the like of wood specimens. In the measuring method and equipment, wavelet conversion of the waveform signal within a predetermined interval is performed by using a predetermined mother wavelet and multiple scale levels, squared mean for interval for each interval width corresponding to said scale levels is calculated in relation to a wavelet conversion signal for each scale level generated by the said wavelet conversion, a scale level at a point where the calculated value of the said squared mean for interval becomes maximum at an arbitrary point within the predetermined interval is decided as a dominant level for that point, and points at which the said waveform signal reaches maximum value or minimum value for each interval width corresponding to the dominant level are detected as the feature points of the waveform signal. | 03-18-2010 |
| 20100067805 | DEVICE, METHOD AND COMPUTER PROGRAM FOR IDENTIFYING A TRAFFIC SIGN IN AN IMAGE - A device for identifying a traffic sign in an image includes a Hough transformer implemented to identify a plurality of line sections running in different directions through the image in the image or in an edge image derived from same. The device further includes a shape detector implemented to detect a predefined shape in the image or in the edge image derived from same based on the identified line sections. The device apart from that includes a pattern identifier implemented to select an image section corresponding to the detected predefined shape based on the detected predefined shape and to identify a traffic sign based on the selected image section. | 03-18-2010 |
| 20100074531 | IMAGE PROCESSING APPARATUS, METHOD AND COMPUTER PROGRAM PRODUCT - An image processing apparatus includes: an image transformation parameter calculation device which calculates an image transformation parameter for matching an acquired first image and a second image with each other among detected plurality of corresponding points; an image transformation device which transforms the second image using the calculated image transformation parameter and acquires the transformed image as a third image; and a feature point existing region determination device which determines whether or not the feature point extracted from the first image is positioned in an invalid image region at an edge of the image, the invalid image region being generated by execution of a predetermined filtering process on the first image, wherein the corresponding point detection device tracks the feature point determined that the feature point extracted from the first image is positioned in the invalid image region, using the first image and the third image. | 03-25-2010 |
| 20100080469 | NOVEL DESCRIPTOR FOR IMAGE CORRESPONDING POINT MATCHING - System and method of generating feature descriptors for image identification. Input image is Gaussian-blurred at different scales. A difference of Gaussian space is obtained from differences of adjacent Gaussian-blurred images. Key points are identified in the difference-of-Gaussian space. For each key point, primary sampling points are defined with three dimensional relative positions from key point and reaching into planes of different scales. Secondary sampling points are identified for each primary sampling point. Secondary image gradients are obtained between an image at a primary sampling point and images at secondary sampling points corresponding to this primary sampling point. Secondary image gradients form components of primary image gradients at primary sampling points. Primary image gradients are concatenated to obtain a descriptor vector for input image. Descriptor vector thus obtained is scale invariant and requires a number of additions equal to number of primary sampling points multiplied by a number of secondary sampling points. | 04-01-2010 |
| 20100166319 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - The outlines of specific subjects becoming unnaturally deformed is prevented, while reducing the amount of calculations. A reference image setting section sets a reference image which is to become a reference from among a plurality of images. A specific subject detecting section detects a specific subject from within the reference image. A feature point extracting section extracts a plurality of feature points from within the reference image such that the average density of the feature points become higher in the vicinity of the outline of the specific subject. A corresponding point obtaining means corresponding point obtaining section obtains corresponding points within the other images that correspond to the extracted feature points. A coordinate converting section converts the coordinates of the positions of each pixel within the reference image and/or the other images such that the positions of the feature points and the positions of the corresponding points match. | 07-01-2010 |
| 20100177966 | Method and system for representing image patches - A method, system and computer program product for representing an image is provided. The image that needs to be represented is represented in the form of a Gaussian pyramid which is a scale-space representation of the image and includes several pyramid images. The feature points in the pyramid images are identified and a specified number of feature points are selected. The orientations of the selected feature points are obtained by using a set of orientation calculating algorithms. A patch is extracted around the feature point in the pyramid images based on the orientations of the feature point and the sampling factor of the pyramid image. The boundary patches in lo the pyramid images are extracted by padding the pyramid images with extra pixels. The feature vectors of the extracted patches are defined. These feature vectors are normalized so that the components in the feature vectors are less than a threshold. | 07-15-2010 |
| 20100189361 | IMAGE PROCESSING APPARATUS FOR DETECTING COORDINATE POSITIONS OF CHARACTERISTIC PORTIONS OF FACE - Image processing apparatus and methods are provided for detecting coordinate positions of characteristic portions of a face image in a target image. A method includes identifying a face area of the target image, determining initial coordinate positions for the characteristic portions, determining corrected coordinate positions for the characteristic portions by modifying the initial coordinate positions or previously generated corrected coordinate positions, and identifying the corrected coordinate positions as the coordinate positions of the characteristic portions of the face image. | 07-29-2010 |
| 20100195914 | SCALABLE NEAR DUPLICATE IMAGE SEARCH WITH GEOMETRIC CONSTRAINTS - Methods are disclosed for finding images from a large corpus of images that at least partially match a query image. The present method makes use of feature detectors to bundle features into local groups or bundles. These bundled features are repeatable and much more discriminative than an individual SIFT feature. Equally importantly, the bundled features provide a flexible representation that allows simple and robust geometric constraints to be efficiently enforced when querying the index. | 08-05-2010 |
| 20100232709 | ESTIMATION OF IMAGE RELATIONS FROM POINT CORRESPONDENCES BETWEEN IMAGES - The invention relates to a method for estimating an image relation model for two or more related images based on a plurality of point correspondences. The method includes using a weighted random sampling algorithm to repeatedly draw subsets of point correspondences for generating model estimates, evaluating said model estimates for the full plurality of the point correspondences, and updating weights associated with each of the point correspondences in the random sampling algorithm based on information obtained in said evaluating. | 09-16-2010 |
| 20100278435 | USER INTERFACE FOR NAVIGATING THROUGH IMAGES - A system, method, and computer-readable media are presented for presenting similar images of a selected image in a user interface. One embodiment of the method can include identifying a selected first image and identifying a selected direction from the first image. Additionally, the method can include calculating a best neighbor metric for each of one or more other images to determine a best neighbor image in the selected direction. Furthermore, the method can include presenting the best neighbor image to a user in a user interface. | 11-04-2010 |
| 20100303364 | IMAGE QUALITY EVALUATION METHOD, IMAGE QUALITY EVALUATION SYSTEM AND IMAGE QUALITY EVALUATION PROGRAM - Provided is an image quality evaluation method for evaluating image qualities of a second image by using a difference from a first image. In the image quality evaluation method, a representative pixel component value indicating a pixel component value that represents pixels in the image frame of one of the images, and pixel position information indicating a pixel position where the representative pixel component value appears are extracted as a feature quantity. By using the representative pixel component value and the pixel position information, which are the image feature quantity, and based on a difference between a pixel component value at the pixel position indicated by the pixel position information in the image frame of the other image and the representative pixel component value, a difference of the entire second image from the first image is estimated. | 12-02-2010 |
| 20100310177 | METHOD OF INTEREST POINT MATCHING FOR IMAGES - A computer implemented method for point matching comprising providing a pair of images captured, selecting first and second sets of interest points from the images; constructing a control network of super points for each set of interest points; assigning a position, with respect to the closest network control point of each control network, to other interest points on the images; locating conjugate points for each other interest point of each set based on its assigned position; and adding the conjugate points to the control network. | 12-09-2010 |
| 20110007974 | OBJECT DETECTION APPARATUS AND METHOD - The present invention discloses an object detection apparatus and method. A feature extracting section of the present invention comprises: a feature point extracting section, for extracting a combination of predetermined feature point pairs from an image; a pixel value obtaining section, for obtaining a pixel value of each feature point in the combination of feature point pairs; a feature point comparing section, for comparing, in accordance with the pixel values obtained by the pixel value obtaining section, two feature points in each feature point pair to obtain a logical value; and an feature obtaining section, for determining the feature of the image in accordance with the logical value. | 01-13-2011 |
| 20110026833 | ENVIRONMENT RECOGNITION SYSTEM, ENVIRONMENT RECOGNITION METHOD AND ROBOT - A system capable of recognizing position, a shape, a posture and the like of an object present in a marginal environment of a device such as a robot in order to make the device perform operations on the object as a subject. In an environment recognition system, 3D information and physical information (color information and the like) of a subject are associated by using camera parameters of each of a 3D image senor a 2D image sensor. Thereby, the position, the posture and the shape related to the subject and the physical information of the subject present in the environment of a robot are obtained. | 02-03-2011 |
| 20110052080 | WHITE ROAD LINE RECOGNITION DEVICE FOR VEHICLE - In right and left white road line detection regions on a image, a stereo image recognition device of a white road line recognition device for a vehicle detects a pair of a white road line starting point and a white road line ending point for each of retrieval lines set in the horizontal direction based on the change in the luminance on the retrieval lines, calculates a midpoint Pm between each pair of the white road line starting point and white road line ending point, selects a point group with a smaller dispersion between the point group consisting of the white road line starting points and the point group consisting of midpoints based on a predetermined condition, and calculates a white road line based on the selected point group. | 03-03-2011 |
| 20110091115 | FEATURE POINT POSITIONING APPARATUS, IMAGE RECOGNITION APPARATUS, PROCESSING METHOD THEREOF AND COMPUTER-READABLE STORAGE MEDIUM - A feature point positioning apparatus positions a plurality of feature points for a predetermined pattern in image data. The apparatus selectively executes first candidate decision processing which decides position candidates of the feature points and second candidate decision processing which decides position candidates of the feature points at a higher processing speed than the first candidate decision processing in accordance with an operation mode, and executes, when the operation mode is a high-speed mode in which an operation is executed at a higher speed than a normal mode, the second candidate decision processing for more feature points than in the normal mode; and corrects the position candidates of the plurality of feature points obtained by the first candidate decision processing and the second candidate decision processing based on a layout relationship among the plurality of feature points. | 04-21-2011 |
| 20110103698 | INFORMATION PROCESSING APPARATUS AND METHOD OF CONTROLLING THE SAME - In verification of image data of a captured image as to whether it is original one, the verification is possible even for image data subjected to a peripheral illumination correction or an exposure correction. An order information calculation unit selects a pixel set including two or more pixels based on pixel values and information on an image space of image data of a captured image, and calculates an order of magnitude between pixels in the selected pixel set. A verification data producing unit generates verification data used in verification of whether the image data has not been tampered with, based on the calculated order of magnitude. An image output unit outputs the image data and the verification data. | 05-05-2011 |
| 20110135206 | Motion Extraction Device and Program, Image Correction Device and Program, and Recording Medium - An image correction device is provided with a CPU ( | 06-09-2011 |
| 20110158544 | INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD - An information processing apparatus includes an information input section that reads input image information, a cumulative image information generator that generates cumulative image information for pixels corresponding to positions of pixels of a prescribed pixel pattern in the read input image information, and a memory controller that stores in the cumulative image information holding memory the cumulative image information generated in the cumulative image information generator. This configuration allows memory resources necessary for holding the cumulative image information to be reduced. | 06-30-2011 |
| 20110200259 | DIGITAL IMAGE MANIPULATION - There is disclosed a method for seamlessly replacing areas in a digital image with corresponding data from temporally close digital images depicting substantially the same scene. The method uses localized image registration error minimization over a fixed preliminary boundary. A least cost closed path which constitutes a boundary for the area to be replaced is calculated using dynamic programming. The replacement area is blended such that image data information from one image is seamlessly replaced with image data information from another image. | 08-18-2011 |
| 20110235923 | ACCURATE DIGITIZATION OF A GEOREFERENCED IMAGE - A method of implementing accurate digitization from a georeferenced image is described. In one embodiment, at least one set of coordinates which have been measured at a point of interest is received. A correction is then determined which describes a difference between the at least one set of coordinates and a set of georeferenced coordinates from a georeferenced image of the point of interest which describes the position of the point of interest. | 09-29-2011 |
| 20110243455 | SCENE MATCHING REFERENCE DATA GENERATION SYSTEM AND POSITION MEASUREMENT SYSTEM - A scene matching reference data generation system inputs a set of probe data. The set of the probe data includes captured images sequentially obtained by a plurality of probe cars and the vehicle positions of the probe cars. The system temporarily stores the captured images, evaluates accuracy reliability degrees of the image-capturing positions of the captured images, and assigns the accuracy reliability degrees to the captured images. The system selects, as a plurality of processing target captured images, a plurality of the captured images having accuracy reliability degrees equal to or higher than a first predetermined degree, extracts image feature points from the selected processing target captured images, and generates image feature point data based on the extracted image feature points. The system generates reference data for scene matching by associating the generated image feature point data with a reference image-capturing position corresponding to the generated image feature point data. | 10-06-2011 |
| 20110255793 | IDENTIFIER INVESTIGATION - A method of extracting data from a representation of an identifier, such as a fingerprint is provided. The method includes selecting a plurality of features, such as ridge ends or bifurcations, in the representation of an identifier, considering the positions of those features and generating a reference feature, such a s a centre, from the positions of the plurality of features. The method then links one or more of the features to the reference feature and/or links one or more of the features to one or more of the other features in the plurality of features. From the result, the method extracts data including information on one or more of: one or more of the plurality of features; the reference feature; one or more of the links between a feature and the reference feature; one or more of the links between a feature and another feature. | 10-20-2011 |
| 20110280488 | Method and system for image extraction and identification - The present invention provides a method for extracting an image texture signal, a method for identifying image and a system for identifying an image. The method for extracting an image texture signal comprises the following steps: extracting a first image signal; employing a first operation procedure to the first image signal to obtain a second image signal; employing a second operation procedure to the second image signal to obtain a third image signal; employing a third operation procedure to the third image signal to obtain a fourth image signal; outputting the fourth image signal. Therefore, the first image signal is transformed to the fourth image signal via the method for extracting an image texture signal. | 11-17-2011 |
| 20110286674 | DETECTING POTENTIAL CHANGED OBJECTS IN IMAGES - A method of detecting potential changed objects in a first image and a second image, where the first and second images at least partially overlap. The method includes obtaining data describing first and second images and detecting sets of objects in images. A common coordinate system for the sets of objects is calculated. Objects in the sets are eliminated based on positions of the objects and objects outside an area of overlap of the images are eliminated. Data indicating the zero or more remaining objects in the sets is output to indicate potential changed objects. | 11-24-2011 |
| 20120002882 | Methods and Systems for Image Data Processing - Methods, storage mediums, and systems for image data processing are provided. Embodiments for the methods, storage mediums, and systems include configurations to perform one or more of the following steps: background signal measurement, particle identification using classification dye emission and cluster rejection, inter-image alignment, inter-image particle correlation, fluorescence integration of reporter emission, and image plane normalization. | 01-05-2012 |
| 20120045135 | SYSTEM FOR FEATURE DETECTION FOR LOW CONTRAST IMAGES - A system for the identification of feature points in low contrast images. | 02-23-2012 |
| 20120057797 | PATTERN NOISE REMOVAL DEVICE, PATTERN NOISE REMOVAL METHOD, AND PATTERN NOISE REMOVAL PROGRAM - Disclosed is a pattern noise removal device for removing background pattern noise having periodicity from a digital image, which includes a candidate pixel extracting module for extracting candidate pixels that constitute the background pattern noise from the pixels in the image on the bases of the concentration of each of the pixels, a dot pattern feature extracting module for extracting the feature of a dot pattern formed by each of the candidate pixels and the peripheral neighborhood pixels among the extracted candidate pixels, a dot pattern area extracting module for extracting a dot pattern area including the candidate pixels of the periodicity and the neighborhood pixels, which have the feature of the dot pattern, and a periodic pattern noise removal module for removing the candidate pixels of the periodicity and the neighborhood pixels, which are included in the dot pattern area, as the background pattern noise. | 03-08-2012 |
| 20120076422 | System and Method for Image Authentication - In accordance with an embodiment, a method of authenticating images includes electronically receiving an anchor image and a query image, performing a feature point extraction of an anchor image, and performing a feature point extraction of a query image. The method also includes clustering feature points of the anchor image and feature points of the query image, where clustering includes determining matching feature points, determining outlier feature points, and excluding outlier feature points. Whether the anchor image is similar to the query image is determined based on a distance between the feature points of the anchor image and the feature points of the query image. If the anchor image is similar to the query image, possible tampered areas of the query image based on the outlier feature points are identified. | 03-29-2012 |
| 20120082387 | OPTIMIZED FAST HESSIAN MATRIX COMPUTATION ARCHITECTURE - Methods and systems of recognizing images may include an apparatus having a hardware module with logic to, for a plurality of vectors in an image, determine a first intermediate computation based on even pixels of an image vector, and determine a second intermediate computation based on odd pixels of an image vector. The logic can also combine the first and second intermediate computations into a Hessian matrix computation. | 04-05-2012 |
| 20120087590 | FEATURE POINT LOCATION DETERMINATION METHOD AND APPARATUS - A method for determining feature point locations in an image performs a first search in a predetermined first search area to search for locations of plural feature points in the image, corrects the locations of the plural feature points based on a geometric layout relationship among the plural feature points searched for, sets a second search area based on the corrected location of each of the feature points, and performs a second search in the second search area to search for the location of each of the feature points. Then, the method determines reliability of the location of each feature point searched for by the second search and selects one of the corrected location and the location searched for by the second search, as a location of the feature point. | 04-12-2012 |
| 20120114252 | Search Skip Region Setting Function Generation Method, Search Skip Region Setting Method, and Object Search Method - According to one embodiment, a search skip region setting function generation method includes associating, detecting, and generating. The associating associates a template used to search a model image for an object with a designated search point on the model image, and detects a designated search point similarity between the designated search point and the template. When the designated search point similarity exceeds an object detection determination threshold, the detecting detects surrounding search point similarities between a plurality of surrounding search points around the designated search point on the model image and the template. The generating generates a function required to set a search skip region of the object based on relative positions between the object and the template, which are estimated based on a distribution of the surrounding search point similarities. | 05-10-2012 |
| 20120114253 | MARKER GENERATION DEVICE, MARKER GENERATION DETECTION SYSTEM, MARKER GENERATION DETECTION DEVICE, MARKER, MARKER GENERATION METHOD, AND PROGRAM THEREFOR - Provided is a marker generation device which has a measurement means, an invariant feature conversion means, a singular feature selection means, and a marker generation means. The measurement means measures a change in posture of an object in a background image on the basis of the image. The invariant feature conversion means indicates feature points extracted from the background image in an invariant feature space by means of a predetermined conversion process in accordance with the change in posture. The singular feature selection means selects, as a singular feature, a part in which the feature points are not indicated in the invariant feature space. The marker generation means generates a marker with the use of the singular feature. | 05-10-2012 |
| 20120114254 | MARKER DETERMINATION DEVICE, MARKER DETERMINATION DETECTION SYSTEM, MARKER DETERMINATION DETECTION DEVICE, MARKER, MARKER DETERMINATION METHOD, AND PROGRAM THEREFOR - Provided is a marker judgment device which has a feature storage means and a feature comparison means. The feature storage means disposes feature points extracted from an image in a predetermined space, sets parts in which the number of feature points in the predetermined space is equal to or less than a predetermined number as singular features, and stores the singular features and feature points extracted from an existing mark. The feature comparison means disposes the feature points extracted from the existing mark in the predetermined space, and judges that the existing mark is capable of being used as a marker which is detectable from the image, when the number of feature points that coincide with the singular features is equal to or more than a predetermined number. | 05-10-2012 |
| 20120121192 | METHOD AND APPARATUS FOR IMAGE SEARCH USING FEATURE POINT - A method and an apparatus search an image using a feature point. The image search method extracts at least one feature point from an image and describes the extracted at least one feature point in stages, thereby generating a hierarchical feature point descriptor. In addition, the method may search for information matching the feature point descriptor from a local database (DB) included in a terminal or a remote DB included in a server. | 05-17-2012 |
| 20120134597 | RECONSTRUCTION OF SPARSE DATA - A dense guide image or signal is used to inform the reconstruction of a target image from a sparse set of target points. The guide image and the set of target points are assumed to be derived from a same real world subject or scene. Potential discontinuities (e.g., tears, edges, gaps, etc.) are first detected in the guide image. The potential discontinuities may be borders of Voronoi regions, perhaps computed using a distance in data space (e.g., color space). The discontinuities and sparse set of points are used to reconstruct the target image. Specifically, pixels of the target image may be interpolated smoothly between neighboring target points, but where neighboring target points are separated by a discontinuity, the interpolation may jump abruptly (e.g., by adjusting or influencing relaxation) at the discontinuity. The target points may be used to select only a subset of the discontinuities to be used during reconstruction. | 05-31-2012 |
| 20120148164 | IMAGE MATCHING DEVICES AND IMAGE MATCHING METHODS THEREOF - Provided is an image matching method of matching at least two images. The image matching method extracts feature points of a reference image and feature points of a target image, changes a feature point, selected from among the feature points of the reference image, to a reference point in the target image, sets a matching candidate region on the basis of the reference point, in the target image, and performs a similarity operation between the selected feature point in the reference image and a plurality of feature points included in the matching candidate region among the feature points of the target image. The image matching method decreases the number of similarity operations performed in the image matching operation, thereby guaranteeing a high-speed operation. | 06-14-2012 |
| 20120201469 | Method, computer program and device for hybrid tracking of real-time representations of objects in a sequence - The invention in particular relates to the hybrid tracking of representations of objects in a sequence of images using at least one key image. After acquiring a first and second images including a representation of the tracked object, a first image portion is identified in the first image, and a second image portion is retrieved from the key image. A relative pose of a first image portion of said second image, similar to the first image portion of the first image, is estimated. A second image portion of the first or second image, similar to the second image portion of the key image, is sought. The relative pose of the object is then estimated according to the relative poses of the first image portions and the second image portions. | 08-09-2012 |
| 20120230592 | PATTERN RECOGNITION APPARATUS - A pattern recognition apparatus including: an extracting section for extracting, from a query image that is composed of at least one piece of pattern component and previously undergoes a geometric transformation, the pattern component; a feature acquiring section for acquiring a geometric invariant feature of the pattern component as a query feature, the query feature being represented by at least three feature points including first, second and third feature points, each feature point locating on the pattern component and being retrieved from the pattern component based on a predetermined rule; a comparing section for comparing the query feature with a plurality of reference features, each reference feature representing different reference patterns prepared as candidates for pattern recognition; and a pattern determination section for determining, as a recognition result, a specific reference pattern out of the candidates based on a similarity of features therebetween and, wherein: each reference feature is represented using feature points retrieved from each reference pattern based on the same rule as that of the query feature, and based on the predetermined rule, a position of the first feature point is specified out of points which locate on the pattern component and are invariant to the geometric transformation, a position of the second feature point is specified using a characteristic regarding a shape of the pattern component, the characteristic being invariant to the geometric transformation, and a position of the third feature point is specified from a predetermined value being invariant to the geometric transformation and from the specified positions of the first and second feature points. | 09-13-2012 |
| 20120243794 | IMAGE PROCESSING APPARATUS, IMAGE ENCODING SYSTEM AND IMAGE DECODING SYSTEM - According to one embodiment, an image processing apparatus includes a feature based detector, an optimum area generator, and an output data generator. The feature based detector detects a feature portion of input image data and generates feature area information showing a position of a feature area comprising the detected feature portion. The optimum area generator generates optimum area information showing a position of an optimum area in accordance with a size of the feature area based on the feature area information. The output data generator extracts pixels of the optimum area among the input image data based on the optimum area information and generates output image data based on the extracted pixels. | 09-27-2012 |
| 20120251010 | METHOD AND APPARATUS FOR ACQUIRING DESCRIPTIVE INFORMATION OF A PLURALITY OF IMAGES AND IMAGE MATCHING METHOD - The invention provides a method and apparatus for acquiring descriptive information of a plurality of images and an image matching method. The method for acquiring descriptive information of a plurality of images includes: performing a feature point detection with respect to each image of the plurality of images, so as to obtain a plurality of feature points of each image; acquiring 0-level descriptive information of the plurality of images; and the following steps are performed for each image: performing a division of the image for the (n−1)th time, so as to obtain a plurality of (n−1)-level sub-images of the image; and (n−1)-level descriptive information of the image is generated in accordance with a plurality of nth local feature descriptors for the image and a plurality of nth visual words, where n=2,3, . . . , K+1, and K is a positive integer. | 10-04-2012 |
| 20120263385 | LOGO OR IMAGE RECOGNITION - Subject matter disclosed herein relates to electronic image object or logo recognition. | 10-18-2012 |
| 20120269446 | MARKER GENERATION DEVICE, MARKER GENERATION DETECTION SYSTEM, MARKER GENERATION DETECTION DEVICE, MARKER, MARKER GENERATION METHOD, AND PROGRAM - Provided is a marker generation device which has a singular feature selection means and a marker pattern generation means. The singular feature selection means extracts feature points from an image, indicates the feature points in a predetermined space, and selects, as singular features, a plurality of parts where the number of feature points is equal to or less than a predetermined number in the space. The marker pattern generation means generates a plurality of kinds of marker patterns with the use of the whole or a part of the plurality of singular features. | 10-25-2012 |
| 20120275711 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - There is provided an image processing device including a feature point detection unit configured to detect feature points from an image, a reliability computation unit configured to compute reliability of each of the detected feature points, and a removal processing unit configured to remove some of the detected feature points on the basis of the reliability so that the number of the remaining feature points in each split region that is obtained by splitting the image into a plurality of regions is within a restricted number of feature points. | 11-01-2012 |
| 20120275712 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - There is provided an image processing device including a feature point detection processing unit configured to detect a feature point from an image, and a feature quantity generation processing unit configured to compare a pixel difference value of two pixels in an image region having a position of the detected feature point as a reference with a threshold and generate binary information indicating a result of comparison as a component of feature quantities corresponding to the feature point. | 11-01-2012 |
| 20120281922 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM FOR IMAGE PROCESSING - An image processing device including: a motion amount estimating unit estimating a first motion amount indicating a displacement amount of a second picture with respect to a first picture; an area setting unit setting an area to be used for post-processing for each of the first picture and a first corrected picture, using feature points extracted from the first picture and the second picture; a post-processing unit generating a first cutout picture from the first picture and a second cutout picture from the first corrected picture and estimating a second motion amount indicating a displacement amount of the second cutout picture with respect to the first cutout picture; and a motion amount obtaining unit obtaining a motion amount indicating a displacement amount between the first picture and the second picture, from the estimated first motion amount and the estimated second motion amount. | 11-08-2012 |
| 20120288205 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING SYSTEM, AND METHOD FOR HAVING COMPUTER PROCESS IMAGE - According to one embodiment, an image processing apparatus connectable to a main memory in which a plurality of pixel values of unconverted image is stored and a cache memory including a plurality of cache blocks. The apparatus includes a counter, a coordinate determination module, a memory controller, a cache access module, a pixel value calculator, and an output module. The counter determines a coordinate within converted image according to a predetermined execution sequence. The coordinate determination module determines a plurality of coordinates within unconverted image of the pixel values of unconverted image necessary to calculate a pixel value of converted image corresponding to the coordinate within converted image. The memory controller transfers the pixel values of unconverted image stored in the main memory to the cache blocks corresponding to each of the coordinates within unconverted image. The cache access module reads out all the pixel values of unconverted image necessary to calculate the pixel value of converted image from the cache blocks. The pixel value calculator calculates the pixel value of converted image by referring to the pixel values of unconverted image read out by the cache access module. The output module outputs the pixel value of converted image. | 11-15-2012 |
| 20120294537 | SYSTEM FOR USING IMAGE ALIGNMENT TO MAP OBJECTS ACROSS DISPARATE IMAGES - A method for mapping images having a common landmark or common reference point, in order to enable the creation, location and/or mapping of pixels, coordinates, markings, cursors, text and/or annotations across the images The method includes selecting at least two images having the common landmark or common reference point, mapping the selected images so as to generate mapping parameters that map a first location on a first image to the corresponding location of the first location on a second image, and identifying at least one pixel on the first image and applying the mapping parameters to the at least one pixel on the first image to identify the corresponding pixel or pixels in the second image The mapping parameters then may be used to locate or reproduce any pixels, coordinates, markings, cursors, text and/or annotations of the first image at the corresponding location of the second image. | 11-22-2012 |
| 20120301036 | IMAGE PROCESSING APPARATUS AND METHOD OF PROCESSING IMAGE - An image processing apparatus includes a characteristic point extracting section and a signal processing section. The characteristic point extracting section is configured to analyze a frequency component of an inputted image and extracts a plurality of pixels characterizing the image as a plurality of characteristic points. The signal processing section is configured to perform signal processing for the plurality of extracted pixels corresponding to the respective characteristic points, produces an interpolated value based on a result of the signal processing, and rewrites a value of at least one pixel other than the characteristic points to the interpolated value. | 11-29-2012 |
| 20120314961 | SCALABLE NEAR DUPLICATE IMAGE SEARCH WITH GEOMETRIC CONSTRAINTS - Methods are disclosed for finding images from a large corpus of images that at least partially match a query image. The present method makes use of feature detectors to bundle features into local groups or bundles. These bundled features are repeatable and much more discriminative than an individual SIFT feature. Equally importantly, the bundled features provide a flexible representation that allows simple and robust geometric constraints to be efficiently enforced when querying the index. | 12-13-2012 |
| 20130004084 | LINEAR MARK DETECTION SYSTEM, LINEAR MARK DETECTION METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING LINEAR MARK DETECTING PROGRAM - A linear mark detection system includes a filter value calculation unit, a filter value threshold processing unit, and a feature value output unit. The filter value calculation unit calculates, for each pixel of an image, filter values corresponding to each of a plurality of linear mark widths using pixel values inside and outside the linear mark. The filter value threshold processing unit selects the most suitable value from filter values corresponding to each of the plurality of linear mark widths as a feature value. The feature value output unit outputs, for each pixel of the image, the feature value computed by the filter value threshold processing function as the feature value corresponding to the linear mark. | 01-03-2013 |
| 20130022277 | FACIAL FEATURE POINT POSITION CORRECTING DEVICE, FACIAL FEATURE POINT POSITION CORRECTING METHOD, AND FACIAL FEATURE POINT POSITION CORRECTING PROGRAM - Facial feature point reliability generating means generates a reliability map of each facial feature point from a facial image. Initial facial feature point position calculating means calculates the position of each facial feature point in the facial image based on the reliability map. Off-position facial feature point judgment means judges whether or not each facial feature point is an off-position facial feature point not satisfying a prescribed condition. Facial feature point difference calculating means calculates the difference between the position of each facial feature point, excluding those judged as the off-position facial feature points, and the position of a corresponding point of the facial feature point. Facial feature point position correcting means corrects the determined positions of the facial feature points based on the results of the judgment by the off-position facial feature point judgment means and the calculation by the facial feature point difference calculating means. | 01-24-2013 |
| 20130034305 | IMAGE-BASED CRACK QUANTIFICATION - Contact-less remote-sensing crack detection and/quantification methodologies are described, which are based on three-dimensional (3D) scene reconstruction, image processing, and pattern recognition. The systems and methodologies can utilize depth perception for detecting and/or quantifying cracks. These methodologies can provide the ability to analyze images captured from any distance and using any focal length or resolution. This adaptive feature may be especially useful for incorporation into mobile systems, such as unmanned aerial vehicles (UAV) or mobile autonomous or semi-autonomous robotic systems such as wheel-based or track-based radio controlled robots, as utilizing such structural inspection methods onto those mobile platforms may allow inaccessible regions to be properly inspected for cracks. | 02-07-2013 |
| 20130039587 | METHOD AND APPARATUS FOR COMPARING VIDEOS - A method for comparing videos includes detecting local features in frames of a video and determining the positions of detected local features in a first frame compared to their respective positions in a succeeding second frame. For at least some of the detected local features, a movement indicator is generated representing the position of a local feature in the first frame relative to the position of that local feature in the second frame, the movement indicator including an orientation, to obtain a plurality of movement indicators. Movement indicators are grouped by orientation ranges. The number of grouped movement indicators in an orientation range are summed to obtain a value for that orientation range. A time series of values for at least one given orientation range is obtained by determining the positions of detected local features in a first frame compared to their respective positions in a succeeding second frame for a plurality of pairs of frames. For at least one orientation range, a first time series of values for a first video is compared with a second time series of values for a second video to determine the similarity of the first and second videos. | 02-14-2013 |
| 20130039588 | IMAGE PROCESSING METHOD AND APPARATUS FOR TAMPER PROOFING - An image processing method and apparatus for tamper proofing are proposed. The method includes: acquiring a first robust feature representation of a first set of robust feature points for an original image and a second robust feature representation of a second set of robust feature points for an image to be detected, respectively; matching the first robust feature representation with the second robust feature representation so as to acquire mismatching feature points; and determining whether the image to be detected has been tampered with relative to the original image based on a distribution characteristic of the mismatching feature points. With the embodiments of the invention, the distribution characteristic of the mismatching feature points is analyzed based on the robust feature representations of the original image and the image to be detected, so that conventional operations on the image can be distinguished effectively from tampering in the image with sufficient robustness. | 02-14-2013 |
| 20130044958 | Methods and Apparatus for Automated Facial Feature Localization - Various embodiments of methods and apparatus for facial retouching are disclosed. In one embodiment, a face in an input image is detected. One or more transformation parameters for the detected face are estimated based on a profile model. The profile model is applied to obtain a set of feature points for each facial component of the detected face. Global and component-based shape models are applied to generate feature point locations of each facial component of the detected face. | 02-21-2013 |
| 20130058580 | IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM - An image processing apparatus includes a modification processing unit configured to modify an input image by distributing a value of each of pixels in the input image over a two-dimensional distribution area having a randomly different size and direction in accordance with modification characteristic information for distributing each pixel over the distribution area. The modification characteristic information is information for modifying the input image using a modification characteristic which is randomly different for each pixel position. | 03-07-2013 |
| 20130058581 | Microscopic Vision Measurement Method Based On Adaptive Positioning Of Camera Coordinate Frame - The present disclosure provides a microscopic vision measurement method based on the adaptive positioning of the camera coordinate frame which includes: calibrating parameters of a microscopic stereo vision measurement model ( | 03-07-2013 |
| 20130101226 | FEATURE DESCRIPTORS - Methods, devices, and systems for determining feature descriptors are provided. An example includes defining a plurality of anchor points within a patch of pixels in a particular area that includes a detected feature in an image, defining a first set of subpatches and calculating an intensity of each of the first set of subpatches, defining a second set of subpatches and calculating an intensity of each of the second set of subpatches, comparing the intensity of each of the second set of subpatches to the intensity of each of the first set of subpatches and if the intensity of a second set subpatch is higher than the intensity of a first set subpatch assign a binary value, otherwise assign an alternative binary value, and concatenating all the assigned binary values into a binary feature descriptor. | 04-25-2013 |
| 20130108176 | IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREFOR | 05-02-2013 |
| 20130121597 | IMAGE STABILIZATION METHOD AND IMAGE STABILIZATION DEVICE - An image stabilization method and an image stabilization device are provided. In the method, each of images to be processed is detected by a feature point detection method to detect a plurality of feature points. The relationship of the same feature points in adjacent images to be processed is analyzed. According to the relationship of the feature points, a homography transform matrix of adjacent images to be processed is calculated. Based on the known feature points and the homography transform matrix, a stabilization matrix and a plurality of adjustment matrices corresponding to each image to be processed are calculated. Compensation is performed on each image to be processed by the adjustment matrices, so as to produce a plurality of corrected images. A first image of adjacent corrected images multiplied by the same stabilization matrix is transformed to a second image of the adjacent corrected images. | 05-16-2013 |
| 20130121598 | System and Method for Randomized Point Set Geometry Verification for Image Identification - Object recognition can be improved by verifying a geometric consistency between matching interesting points pairs of two images, as objects with the images are more likely to match when the matching interesting points pairs are geometrically consistent. The geometric consistency between matching interesting points pairs can be verified in accordance with a topology code distance vector (D). The topology code distance vector (D) may be evaluated in accordance with a decision tree classifier, which may be trained in accordance with previous or historic topology code distance vectors. The topology code distance vector (D) may be computed from a subset of matching interesting points pairs having the shortest matching distance. | 05-16-2013 |
| 20130136368 | DISTRIBUTION EVALUATION APPARATUS AND METHOD, DISTRIBUTION DETERMINING APPARATUS AND METHOD, IMAGE PROCESSING APPARATUS AND METHOD, AND COMPUTER READABLE MEDIUM - A distribution evaluation apparatus includes an evaluation value calculating unit that calculates weighted energy, as an evaluation value representing distribution of located objects x and y, by calculating a product resulting from multiplying weighting function values ω(x) and ω(y) and probability density function values φ(x) and φ(y) representing densities or sizes of the located objects x and y, by a mutual influence value determined by a function fr having as a variable a distance between the located objects x and y, and then by summing the resulting products with respect to all the located objects x and y into the weighted energy, and an evaluating unit that evaluates the distribution of the located objects in accordance with the evaluation value calculated by the evaluation value calculating unit. | 05-30-2013 |
| 20130142439 | Scalable Query for Visual Search - A system and a method for progressive queries, which are a sequence of queries for visual search of an image, sent from a sender to a receiver of a communication network, are disclosed. Queries based on a set of feature points and their associated locations of an image may be selected in sequence. A sender sends a first query to a receiver, wherein the first query comprises a number of feature points which is a subset of the set of feature points of the image invariant to rotation and scaling in creating the image. The sender receives a feedback from the receiver, wherein the feedback is generated by the receiver based on searching an image repository using information from the first query. The sender then decides whether there is a match of the image in the image repository based on the received feedback. | 06-06-2013 |
| 20130202212 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER PROGRAM - There is provided an information processing apparatus including an image acquisition unit configured to acquire images captured from a plurality of observation points for a predetermined object, a feature point extraction unit configured to extract a feature point in each of the images acquired by the image acquisition unit, a correspondence relationship acquisition unit configured to acquire a correspondence relationship of the feature points based on images from among adjacent observation points, and an information presentation unit configured to quantitatively present information about the correspondence relationship acquired by the correspondence relationship acquisition unit. | 08-08-2013 |
| 20130202213 | METHOD AND SYSTEM FOR FAST AND ROBUST IDENTIFICATION OF SPECIFIC PRODUCT IMAGES - Identification of objects in images. All images are scanned for key-points and a descriptor is computed for each region. A large number of descriptor examples are clustered into a Vocabulary of Visual Words. An inverted file structure is extended to support clustering of matches in the pose space. It has a hit list for every visual word, which stores all occurrences of the word in all reference images. Every hit stores an identifier of the reference image where the key-point was detected and its scale and orientation. Recognition starts by assigning key-points from the query image to the closest visual words. Then, every pairing of the key-point and one of the hits from the list casts a vote into a pose accumulator corresponding to the reference image where the hit was found. Every pair key-point/hit predicts specific orientation and scale of the model represented by the reference image. | 08-08-2013 |
| 20130216138 | System And Method For Effectively Performing An Image Categorization Procedure - A system for performing an image categorization procedure includes an image manager with a keypoint generator, a support region filter, an orientation filter, and a matching module. The keypoint generator computes initial descriptors for keypoints in a test image. The support region filter and the orientation filter perform respective filtering procedures upon the initial descriptors to produce filtered descriptors. The matching module compares the filtered descriptors to one or more database image sets for categorizing said test image. A processor of an electronic device typically controls the image manager to effectively perform the image categorization procedure. | 08-22-2013 |
| 20130216139 | OTHER VIEWPOINT CLOSED SURFACE IMAGE PIXEL VALUE CORRECTION DEVICE, METHOD OF CORRECTING OTHER VIEWPOINT CLOSED SURFACE IMAGE PIXEL VALUE, USER POSITION INFORMATION OUTPUT DEVICE, METHOD OF OUTPUTTING USER POSITION INFORMATION - A technology for creating an arbitrary viewpoint image with high quality based on pixel value information as seen from a single viewpoint and real spatial positional information has not been known. A hidden point is extracted based on a relative positional relationship between a single viewpoint closed surface projection point for arbitrary measurement point and neighboring projection point, a relative positional relationship between other viewpoint closed surface projection point for arbitrary measurement point and neighboring projection point, distance from arbitrary measurement point to another viewpoint, and distance from measurement point projected onto neighboring projection point on the other viewpoint closed surface to another viewpoint. Furthermore, the projection point pixel value on the other viewpoint closed surface for the extracted hidden point is corrected using distance from measurement point projected onto neighboring projection point on the other viewpoint closed surface to the other viewpoint and the measurement point pixel value. | 08-22-2013 |
| 20130223749 | IMAGE RECOGNITION APPARATUS AND METHOD USING SCALABLE COMPACT LOCAL DESCRIPTOR - An image recognition apparatus using a scalable compact local feature descriptor is provided. The image recognition apparatus includes a feature descriptor generator, a database, and a descriptor matcher. The feature descriptor generator extracts scalable compact local feature descriptor information for recognizing an object from input image information. The database includes information on a plurality of feature descriptors. The descriptor matcher compares a feature descriptor output from the feature descriptor generator with a plurality of feature descriptors stored in the database to recognize an object included in an image. | 08-29-2013 |
| 20130230255 | Image Searching By Approximate k-NN Graph - This disclosure describes techniques for searching for similar images to an image query by using an approximate k-Nearest Neighbor (k-NN) graph. The approximate k-NN graph is constructed from data points partitioned into subsets to further identify nearest-neighboring data points for each data point. The data points may connect with the nearest-neighboring data points in a subset to form an approximate neighborhood subgraph. These subgraphs from all the subsets are combined together to form a base approximate k-NN graph. Then by performing more random hierarchical partition, more base approximate k-NN graphs are formed, and further combined together to create an approximate k-NN graph. The approximate k-NN graph expands into other neighborhoods and identifies the best k-NN data points. The approximate k-NN graph retrieves the best NN data points, based at least in part on the retrieved best k-NN data points representing images being similar in appearance to the image query. | 09-05-2013 |
| 20130236106 | METHODS FOR GENERATING VISIBILITY MAPS - Apparatuses, methods, systems and computer-readable media for generating a visibility map in determination of a user's location are presented. Some embodiments may identify a point of interest (POI) whose location is predefined on a map. The map may be an overhead map, similar to a map found at a shopping mall or a 3-dimensional map. Embodiments may then determine a plurality of vectors emanating from the POI. The vectors may be representative of lines of sight from the POI on the map. Embodiments may then integrate at least some of the plurality of vectors to calculate an area on the map representative of a visibility map. | 09-12-2013 |
| 20130236107 | MOVING IMAGE PROCESSING DEVICE, MOVING IMAGE PROCESSING METHOD, AND RECORDING MEDIUM HAVING MOVING IMAGE PROCESSING PROGRAM - Three-dimensional coordinates of feature points of an object to be measured are back-projected to a frame image photographed from a specific position, and image coordinates of the back-projected feature points and the feature points in this frame image are compared. In this case, the feature points, which are mismatched, are removed as feature points which are mistracked between plural frames. In this case, two processing systems, of which initial conditions of calculation for obtaining the back-projected coordinates are different from each other, are performed, and the detection of the above mistracked points is performed on each of the two back-projected coordinates. The mistracked points detected in at least one of the processing systems are removed, and are not succeeded to the following processing. | 09-12-2013 |
| 20130243337 | IMAGE PROCESSING APPARATUS AND METHOD THEREOF - An image processing apparatus for searching for a feature point by use of a depth image and a method thereof are provided. The image processing apparatus includes an input unit configured to input a three-dimensional image having depth information, a feature point extraction unit configured to obtain a designated point from an object image extracted from the depth image to obtain a feature point that is located at a substantially farthest distance from the designated point, and to obtain other feature points that are located at substantially farthest distances from feature points that are previously obtained as well as the designated point. The apparatus includes a control unit configured to control the input unit and the feature point extraction unit so that time in estimating a structure of the object is reduced, and a recognition result is enhanced. | 09-19-2013 |
| 20130279813 | ADAPTIVE INTEREST RATE CONTROL FOR VISUAL SEARCH - Image-processing apparatus and methods to adaptively vary an interest point threshold value and control a number of interest points identified in an image frame are described. Sub-regions of an image frame may be processed in a sequence, and an interest point threshold value calculated for each sub-region. The calculated value of the interest point threshold may depend upon pre-selected values and values determined from the processing of one or more prior sub-regions. By using adaptive thresholding, a number of interest points detected for each frame in a sequence of image frames may remain substantially constant, even though objects within the frames may vary appreciably. | 10-24-2013 |
| 20130301930 | HARDWARE COPROCESSOR FOR STRIPE-BASED INTEREST POINT DETECTION - A hardware coprocessor architecture calculates the Difference-of-Gaussian (DoG) pyramid of an input image and extracts from this the interest points to be used in several image detection algorithms. Advantages of the architecture include the possibility to process the image by stripes, namely by blocks having one dimension coincident with the input image width, in the absence of an input frame buffer and the possibility to avoid RAM memory. The coprocessor is suitable to be tightly coupled with raw image sources like sensors. | 11-14-2013 |
| 20130301931 | 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. | 11-14-2013 |
| 20130315490 | FEATURE POINT MATCHING DEVICE, FEATURE POINT MATCHING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING FEATURE MATCHING PROGRAM - A feature point matching device includes a position feature generation unit for generating a position feature quantity for a feature point based on a position of the feature point included in an image, a pixel value feature generation unit for generating a pixel value feature quantity for the feature point based on a pixel value of the feature point included in the image, and a feature matching unit for matching a first feature point and a second feature point based on a degree of matching between a first position feature quantity generated from a first image and a second position feature quantity generated from a second image and a degree of matching between a first pixel value feature quantity generated from the first image and a second pixel value feature quantity generated from the second image. | 11-28-2013 |
| 20130322770 | INFORMATION PROCESSING APPARATUS AND CONTROL METHOD THEREFOR - An information processing apparatus includes an image input unit which inputs image data containing a face, a face position detection unit which detects, from the image data, the position of a specific part of the face, and a facial expression recognition unit which detects a feature point of the face from the image data on the basis of the detected position of the specific part and determines facial expression of the face on the basis of the detected feature point. The feature point is detected at a detection accuracy higher than detection of the position of the specific part. Detection of the position of the specific part is robust to a variation in the detection target. | 12-05-2013 |
| 20130343657 | OBJECT DETECTION METADATA - A perimeter around a detected object in a frame of image data can be generated in a first coordinate system. The perimeter can be converted from the first coordinate system into a second coordinate system having the same aspect ratio as the first coordinate system. A first metadata entry can include dimensions of image data in the second coordinate system. A second metadata entry can provide a location and dimensions of the converted perimeter in the second coordinate space. Additional metadata can indicate matching objects between frames, position of an object relative to other objects in a frame, a probability that an object is correctly detected, and a total number of objects detected across multiple frames of image data. | 12-26-2013 |
| 20140016871 | METHOD FOR CORRECTING USER'S GAZE DIRECTION IN IMAGE, MACHINE-READABLE STORAGE MEDIUM AND COMMUNICATION TERMINAL - A method and mobile terminal for correcting a gaze of a user in an image includes setting eye outer points that define an eye region of the user in an original image, transforming the set eye outer points to a predetermined reference camera gaze direction, and transforming the eye region of the original image based on the transformed eye outer points. | 01-16-2014 |
| 20140037217 | METHOD AND SYSTEM FOR DIRECT STRAIN IMAGING - A method and system for measuring and determining the full-field spatial distributions of strain tensor field components in a two or three-dimensional space, as a consequence of deformation under generalized loading conditions. One or more digital cameras may be used to acquire successive images of a deforming body with optically distinctive features on its surface. A method for determining the location of characteristic points of the surface features and another one for tracking these points as deformation occurs. Elongations between neighboring points on the vicinity of a location of interest are computed. The elongation between points is calculated even though discontinuities may exist between them. Strain tensor fields are directly calculated as a tensor approximation from these elongations without determining or using the displacement vector distributions. | 02-06-2014 |
| 20140044361 | DEVICE AND METHOD FOR ANALYZING THE CORRELATION BETWEEN AN IMAGE AND ANOTHER IMAGE OR BETWEEN AN IMAGE AND A VIDEO - The present invention relates to a device and method for analyzing the correlation between an image and another image or between an image and a video. The device for analyzing the correlation between images and the method for using same include: a feature data generating unit for determining a feature point of an image and generating feature data which includes feature point orientation information on each determined feature point; and a relation analyzing unit for analyzing the correlation between an image and another image using feature data generated from the feature data generating unit. The relation analyzing unit includes: a unit for determining corresponding feature points, which determines a pair of corresponding feature points between compared images using feature data generated from the feature data generating unit; and a reliability estimating unit for estimating the reliability of the analysis of the relation between images on the basis of feature point orientation information on a feature point, in pairs of feature points determined by the unit for determining corresponding feature points. According to the present invention, provided are a device and method for quickly and efficiently analyzing a correlation, such as whether or not there is a similarity between an image and another image or between an image and a video, wherein said video includes an image, or a frame of said video corresponds to an image. | 02-13-2014 |
| 20140044362 | METHOD AND SYSTEM FOR ESTIMATING A SIMILARITY BETWEEN TWO BINARY IMAGES - The invention relates to a method and a system for estimating the resemblance between two images of optionally different modalities. More particularly, the invention makes it possible to characterize a similarity between two binary images formula (I): it allows in particular registration of images acquired in the fields of teledetection, medical imaging, industrial vision. | 02-13-2014 |
| 20140050411 | APPARATUS AND METHOD FOR GENERATING IMAGE FEATURE DATA - The present invention relates to an apparatus and method for efficiently generating feature data which properly determines a feature point indicating features of images and describes the feature point. The apparatus for generating image feature data comprises: a feature point determining unit which determines a feature point from an image and extracts information on the determined feature point; a feature point filtering unit which determines, as a final feature point, at least one feature point from among the feature points determined by the feature point determining unit; and a feature data generating unit which generates image feature data based on the final feature points determined by the feature point filtering unit and feature point information on the final feature points. | 02-20-2014 |
| 20140064624 | SYSTEMS AND METHODS FOR ESTIMATING THE GEOGRAPHIC LOCATION AT WHICH IMAGE DATA WAS CAPTURED - In some embodiments, a system and method for estimating the geographical location at which image data was captured with a camera identifies matching feature points between the captured images, estimates a pose of the camera during the image capture from the feature points, performs geometric reconstruction of a scene in the images using the estimated pose of the camera to obtain a reconstructed scene, and compares the reconstructed scene to overhead images of known geographical origin to identify potential matches | 03-06-2014 |
| 20140072233 | METHODS AND SYSTEMS FOR UPDATING A PREDICTED LOCATION OF AN OBJECT IN A MULTI-DIMENSIONAL SPACE - Embodiments of the present invention characterizing the uncertainty of the orbital state of an Earth-orbiting space object hereof using a Gauss von Mises probability density function defined on the n+1 dimensional cylindrical manifold | 03-13-2014 |
| 20140072234 | METHOD AND APPARATUS FOR ESTIMATING POSITION OF HEAD, COMPUTER READABLE STORAGE MEDIUM THEREOF - A computer implemented method and an apparatus for estimating head position of an individual are described. The method includes cropping an image object in an image. The image object may include a visual representation of a head of at least one individual. The method further includes abstracting one or more features from the image object. Subsequently,
| 03-13-2014 |
| 20140099031 | Adjusting a Contour by a Shape Model - Various embodiments of methods and apparatus for feature point localization are disclosed. A profile model and a shape model may be applied to an object in an image to determine locations of feature points for each object component. Input may be received to move one of the feature points to a fixed location. Other ones of the feature points may be automatically adjusted to different locations based on the moved feature point. | 04-10-2014 |
| 20140099032 | ELECTRONIC DEVICE AND METHOD FOR RECOGNIZING FEATURES OF OBJECTS - An electronic device stores haar-like features and geometrical features of an object. A reference image of the object is created according to the geometrical features of the object. An outline image is obtained from each image of the object. The electronic device calculates derivatives of each two adjacent points on the reference image and each outline image. A derivative matrix of the reference image and a derivative matrix of each outline image are generated. The electronic device generates a first derivative curve corresponding to the derivative matrix of the reference image and a second derivative curve corresponding to each derivative matrix of the outline image. When all the second derivative curves are the same as the first derivative curve, the electronic device determines whether each outline image is corresponding to the object by using the haar-like features of the object. | 04-10-2014 |
| 20140112583 | AUTOMATIC CHARACTER STEM STRETCHING - A method and system for extending characters. The method automatically identifies sections of a character to elongate and sections of the character to not elongate. The method moves the sections of the character that are not to be elongated and elongates the sections that are to be elongated. The sections to be elongated are those sections of the character that are parallel to an axis for extending the character. | 04-24-2014 |
| 20140119665 | SYSTEM AND METHOD FOR FINDING SADDLE POINT-LIKE STRUCTURES IN AN IMAGE AND DETERMINING INFORMATION FROM THE SAME - This invention provides a system and method for finding features in images that exhibit saddle point-like structures using relatively computationally low-intensive processes, illustratively consisting of an anti-correlation process, and associated anti-correlation kernel, which operates upon a plurality of pixel neighborhoods within the image. This process enables an entire image to be quickly analyzed for any features that exhibit such saddle point-like structures by determining whether the anti-correlation kernel generates a weak or strong response in various positions within the image. The anti-correlation kernel is designed to generate a strong response regardless of the orientation of a saddle point-like structure. The anti-correlation process examines a plurality of pixel neighborhoods in the image, thereby locating any saddle point-like structures regardless of orientation, as it is angle-independent. The structures are then grouped and refined (for example in a grid) in an effort to locate and decode ID topologies within the image. | 05-01-2014 |
| 20140126828 | ADJUSTING APPLICATION PROPERTIES - A method, computer program product, and computer system for identifying a first reference point on a display. A second reference point of an object of an application is identified, wherein the object is on the display. A distance is determined of the first reference point on the display from the second reference point of the object on the display. One or more properties of the application is adjusted based upon, at least in part, the distance of the first reference point on the display from the second reference point of the object on the display. | 05-08-2014 |
| 20140133762 | Point Set Matching with Outlier Detection - Aspects of the present invention include point set matching systems and methods. In embodiments, a tree model is used to find candidate matching locations for a set of query points. In embodiments, a similitude transform is assumed, and the parameters are separately solved to reduce computation complexity. In embodiments, the dominant scaling (α) and rotation (R) parameters are obtained by identifying a maximum in an accumulator space. A translation (t) matrix is calculated in another 1D accumulator space. With the obtained similitude transform, outliers can be reliably detected. This two-stage approach reduces the complexity and calculation time of determining a similitude transform and increases the accuracy and ability to detect outliers. | 05-15-2014 |
| 20140147050 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR GENERATING SUPER-RESOLVED IMAGES - In an example embodiment a method, apparatus and computer program product are provided. The method includes facilitating receipt of a light-field image, determining one or more depth levels in the light-field image and generating a plurality of images from the light-field image. The method includes determining one or more registration matrices corresponding to the one or more depth levels between an image and one or more remaining images of the plurality of images. The method includes performing a super-resolution of the image and the one or more remaining images based on the one or more registration matrices to generate a super-resolved image of the image. | 05-29-2014 |
| 20140185939 | IMAGE TRANSFORMATION APPARATUS AND METHOD - An image transformation apparatus includes a detection unit which is configured to detect, from each of a user image and a reference image, feature points of a face and angle information of the face, a feature points adjusting unit which is configured to adjust the feature points of the user image or the reference image by using the detected angle information, a face analysis unit which is configured to compare facial features contained in the user image and the reference image by using the adjusted feature points, and an image transformation unit which is configured to transform the user image by using a result of the comparison of the facial features from the face analysis unit. | 07-03-2014 |
| 20140185940 | Apparatus and Method for Calculating Satellite Navigation Visibility - Provided is a satellite navigation visibility calculation apparatus. The satellite navigation visibility calculation apparatus includes a processing unit configured to binarize an input sky view image to create an binary image, an extraction unit configured to extract a plurality of feature points from the binary image, and a calculation unit configured to calculate satellite navigation dilution of precision (DOP) corresponding to the sky view image using the plurality of feature points. | 07-03-2014 |
| 20140185941 | ROBUST KEYPOINT FEATURE SELECTION FOR VISUAL SEARCH WITH SELF MATCHING SCORE - To improve feature selection accuracy during a visual search, interest points within a query image are two-way matched to features in an affine transformed image or otherwise transformed version of the query image. A user device implements a method for selecting local descriptors in the visual search. The method includes: detecting a first set of interest points for the original image; computing an affine transform matrix; computing a new image as a transformation of the original image using the affine transform matrix; detecting a second set of interest points from the and new image; performing a two-way matching between the first set of interest points and the second set of interest points; sorting matching pairs according to a specified self-matching score (SMS); assigning an infinite value to SMS of unmatched interest points from the original image; selecting the interest points based on SMS. Significant performance gains reduce false positive matches. | 07-03-2014 |
| 20140219569 | IMAGE RECOGNITION SYSTEM AND METHOD FOR IDENTIFYING SIMILARITIES IN DIFFERENT IMAGES - Embodiments for determining the similarity of different images are generally described herein. In some embodiments, image features of different images are converted to clusters, the clusters from each image are sorted based on one or more attributes of the clusters, and a plurality of three-point sets are generated for each image from a selected portion of the sorted clusters. Each three-point set defines a triangle. Matching triangles may be identified from the different images. The corresponding clusters of the matching triangles represent corresponding image features providing for a measure of the similarity of the two different images. | 08-07-2014 |
| 20140219570 | AUTOMATED ANALYSIS OF A MOTION - Generating an analysis of a motion is disclosed. A first computing device receives image data that includes a set of user images. Each user image in the set corresponds to a stage of a plurality of consecutive stages of the motion and depicts a user at the corresponding stage. For each stage of the plurality of consecutive stages, a plurality of motion point locations in the corresponding user image is determined. Based on the plurality of motion point locations and reference motion data associated with a reference motion, a user motion report is generated. | 08-07-2014 |
| 20140233860 | ELECTRONIC DEVICE, ELECTRONIC DEVICE OPERATING METHOD, AND COMPUTER READABLE RECORDING MEDIUM RECORDING THE METHOD - A method for operating an electronic device is provided. The method includes detecting a plurality of feature points in at least a partial region in a digital image, selecting at least two feature points from the detected plurality of feature points, determining whether there is a probability that an object existing in at least one of a plurality of reference images exists in the digital image, by using at least a portion of the at least two feature points, and determining a pose of the object after the probability that the object exists in the digital image is determined. | 08-21-2014 |
| 20140254939 | APPARATUS AND METHOD FOR OUTPUTTING INFORMATION ON FACIAL EXPRESSION - To enable information on facial expressions to be continued to be obtained even if a user moves, without requiring attachment of markers, there is provided a spectacle-type device worn by a user that comprises first camera and second camera, each of which is provided with a fisheye lens at an edge of a front part of frame. Face images obtained by each camera are transmitted to information processing apparatus. Information processing apparatus develops an image from each camera to a plane, and composes images of portions of both eyes, both eyebrows and a mouth with an image representing a frontal face captured in advance. Information processing apparatus recognizes a facial expression from the face image obtained from the composition, and displays a three-dimensional model of the recognized facial expression. | 09-11-2014 |
| 20140254940 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - For each of a plurality of second images other than a first image in an image group having a plurality of images, a feature point pair is generated by associating a second feature point of the second image with a first feature point of the first image based on a feature amount of the second feature point. A feature point pair is detected from the generated feature point pairs, where a position of the second feature point in the detected feature point pair is located within a predetermined region. A region including first feature points of the first image is extracted, where in the extracted region, detection counts of the feature point pairs exceed a predetermined threshold. | 09-11-2014 |
| 20140270541 | APPARATUS AND METHOD FOR PROCESSING IMAGE BASED ON FEATURE POINT - An apparatus and method for processing an image based on feature points is provided, more specifically, provides a technology used in extracting feature points with high importance after determination of importance, searching images, and the like. Therefore, matching images can be effectively performed, and efficiency of time and memory can be increased. | 09-18-2014 |
| 20140301650 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND RECORDING MEDIUM - An image processing device comprises a part-point specifying unit configured to specify a part point of an object; a feature-quantity extracting unit configured to extract one or a plurality of feature quantities from a pixel of a sampling point or from a pixel group including the pixel of the sampling point, for each of a plurality of sampling points, and extract candidate feature quantities corresponding to the part point constituted by the extracted plurality of feature quantities corresponding to the respective sampling points, the plurality of sampling points comprising the part point specified by the part-point specifying unit and at least one point on the image other than the part point; and a feature-quantity generating unit configured to generate one or a plurality of comparison feature quantities corresponding to the part points based on a predetermined standard by using the candidate feature quantities extracted by the feature-quantity extracting unit. | 10-09-2014 |
| 20140314326 | System and Method of Generating and Using Open Sky Data - A method and system for generating and using open sky data is described. A vehicle equipped with a range-finding device travels on a road network in a geographic region. The range-finding device transmits a pulse at a given position and obtains range data associated with the position. The system uses the range data to generate data representing visibility of open sky at the given position and at other positions along the road network. For example, the system may determine transmission angles of pulses transmitted at positions that did not encounter a physical object and then use the determined transmission angles to generate data representing visibility of open sky at these positions. The system then stores the data representing the visibility of open sky. The system then associates the data representing the visibility of open sky with data representing physical features. | 10-23-2014 |
| 20140328543 | LOCAL FEATURE DESCRIPTOR EXTRACTING APPARATUS, LOCAL FEATURE DESCRIPTOR EXTRACTING METHOD, AND PROGRAM - An object of the present invention is to reduce a size of a feature descriptor while maintaining accuracy of object identification. A local feature descriptor extracting apparatus includes: a feature point detecting unit which detects a plurality of feature points in an image and which outputs feature point information that is information regarding each feature point; a feature point selecting unit which selects a prescribed number of feature points in an order of importance from the plurality of detected feature points, based on the feature point information; a local region acquiring unit which acquires a local region corresponding to each selected feature point; a subregion dividing unit which divides each local region into a plurality of subregions; a subregion feature vector generating unit which generates a feature vector of a plurality of dimensions for each subregion in each local region; and a dimension selecting unit which selects a dimension from the feature vector for each subregion so that a correlation between neighboring subregions is lowered, based on a positional relationship between subregions in each local region and which outputs an element of the selected dimension as a feature descriptor of the local region. | 11-06-2014 |
| 20140348432 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND PROGRAM - There is provided an image processing apparatus which calculates a feature value of an image. The apparatus comprises first obtaining means for obtaining an image; calculation means for calculating a set of numerical values formed from degrees of contributions of each of a plurality of order, wherein the degree of contributions of each order indicate contributions of monomials of the order for intensity values which are calculated using an approximation polynomial, and wherein the approximation polynomial provides a relationship between a pixel position of the image and an intensity value at the pixel position and is formed from a plurality of the monomials each having an order out of the plurality of orders; and first output means for outputting the set of the calculated numerical values as the feature value of the image. | 11-27-2014 |
| 20140355888 | AUTOMATIC DETECTION OF REGULAR PATTERNS OF FEATURES - Methods for pattern recognition and corresponding systems and computer-readable mediums. A method includes receiving a set of two-dimensional (2D) points. The method includes identifying neighbor points for each of a plurality of points in the set and finding at least one indicated pattern between points in the set. The indicated pattern can be one of a linear pattern, a rectangular pattern, a skew pattern, or a circular pattern. The method includes storing pattern data corresponding to the found indicated pattern. | 12-04-2014 |
| 20140369607 | METHOD FOR DETECTING A PLURALITY OF INSTANCES OF AN OBJECT - An improved object recognition method is provided that enables the recognition of many objects in a single image. Multiple instances of an object in an image can now be detected with high accuracy. The method receives a plurality of matches of feature points between a database image and a query image and determines a kernel bandwidth based on statistics of the database image. The kernel bandwidth is used in clustering the matches. The clustered matches are then analyzed to determine the number of instances of the object within each cluster. A recursive geometric fitting can be applied to each cluster to further improve accuracy. | 12-18-2014 |
| 20140369608 | IMAGE PROCESSING INCLUDING ADJOIN FEATURE BASED OBJECT DETECTION, AND/OR BILATERAL SYMMETRIC OBJECT SEGMENTATION - Apparatuses, methods and storage medium associated with processing an image are disclosed herein. In embodiments, a method for processing one or more images may include generating a plurality of pairs of keypoint features for a pair of images. Each pair of keypoint features may include a keypoint feature from each image. Further, for each pair of keypoint features, corresponding adjoin features may be generated. Additionally, for each pair of keypoint features, whether the adjoin features are similar may be determined. Whether the pair of images have at least one similar object may also be determined, based at least in part on a result of the determination of similarity between the corresponding adjoin features. Other embodiments may be described and claimed. | 12-18-2014 |
| 20150036936 | IMAGE ANALYSIS - A method for processing an image including: identifying a first group of keypoints in the image; for each keypoint of the first group, identifying at least one corresponding keypoint local feature related to the each keypoint; for the at least one keypoint local feature, calculating a corresponding local feature relevance probability; calculating a keypoint relevance probability based on the local feature relevance probabilities of the at least one local feature; selecting keypoints, among the keypoints of the first group, having the highest keypoint relevance probabilities to form a second group of keypoints, and exploiting the keypoints of the second group for analyzing the image. The local feature relevance probability calculated for a local feature of a keypoint is obtained by comparing the value assumed by the local feature with a corresponding reference statistical distribution of values of the local feature. | 02-05-2015 |
| 20150036937 | IMAGE CORRECTION METHOD AND APPARATUS USING CREATION OF FEATURE POINTS - The present invention relates to an ‘image correction method using creation of feature points’, and the method includes the steps of: (a) mapping a plurality of feature points on an image; (b) mapping an additional feature point on the image; and (c) changing arrangement of the feature points according to mapping of the additional feature point, in which the plurality of feature points can be set as a feature point of forced position and a feature point of unforced position, respectively, and only feature points of unforced position are moved at step (c). | 02-05-2015 |
| 20150036938 | METHOD FOR RECOGNIZING OBJECT USING COVARIANCE DESCRIPTOR AND APPARATUS THEREOF - Disclosed are object recognizing method and apparatus. The method may comprise extracting a feature point of an object to be recognized in an input image; generating a plurality of feature images by extracting orientation information of a region adjacent to the feature point and normalizing the region based in the orientation information; deriving a covariance descriptor based on the feature images; and recognizing the object in the input image by comparing the covariance descriptor with a reference covariance descriptor stored in advance. Thus, the object can be recognized fast and robustly to changes on the size of the input image, rotations of the input image, and illumination, whereby the recognition performance can be enhanced. | 02-05-2015 |
| 20150036939 | Method for Processing an Image - The disclosure relates to a method for processing an image, the method comprising: providing a set of key points from the image; describing location information of the set of key points in form of a binary matrix; and scanning the binary matrix according to a pre-determined order, thereby creating a new representation of the location information of the set of key points. | 02-05-2015 |
| 20150043828 | METHOD FOR SEARCHING FOR A SIMILAR IMAGE IN AN IMAGE DATABASE BASED ON A REFERENCE IMAGE - A method for extracting characteristic points from an image, includes extracting characteristic points from a first image, generating for each characteristic point a descriptor with several components describing an image region around the characteristic point, and comparing two by two the descriptors of the first image, the characteristic points whose descriptors have a proximity between them greater than an ambiguity threshold, being considered ambiguous. | 02-12-2015 |
| 20150071552 | EFFICIENT IMAGE MATCHING FOR LARGE SETS OF IMAGES - A system and method to detect similarities between images. The system and method allow comparisons between a query image and one or more catalog images in a manner that is resilient to scanning, scaling, rotating, cropping and other distortions of the query image. The system includes an image processing module that determines and/or calculates principle features of a catalog image and constructs a feature vector using one or more of the principle features. The system also includes a matching module that matches a query image to one or more catalog images. The system finds matches based on a distance measure of features present in the query image and features present in the catalog images. | 03-12-2015 |
| 20150071553 | IMAGE PROCESSING DEVICE, METHOD AND PROGRAM - An image processing device includes a candidate point extracting unit configured to extract a plurality of candidate points belonging to a predetermined structure from image data, a shape model storing unit configured to store a shape model representing a known shape of the predetermined structure, the shape model being formed by a plurality of model labels having a predetermined connection relationship, and a corresponding point selecting unit configured to select a mapping relationship between the candidate points and the model labels from a set of candidate mapping relationships. | 03-12-2015 |
| 20150078669 | METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR OBJECT DETECTION AND SEGMENTATION - In an example embodiment, a method, apparatus and computer program product are provided. The method includes facilitating receipt of a first image and a second image of a scene comprising one or more objects. The method includes detecting the objects in the first image by detecting object point of the objects in the first image. The method includes detecting the object points of the objects in the second image based on detection of the object points of the objects in the first image. Detection of an object point in the second image that corresponds to an object point of the first image comprises searching for the object point on an epipolar line in the second image corresponding to the object point of the first image. The method includes determining disparity values between the objects points in the first image and the object points in the second image. | 03-19-2015 |
| 20150086121 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing device and method can detect facial feature point positions with high accuracy. The information processing device includes: a facial image input unit receiving a facial image; a facial feature point reliability generation unit generating, based on a plurality of classifiers for computing the suitability of feature points of a face, a reliability image indicating the suitability for each feature point from the facial image; a facial feature point candidate position computation unit obtaining a candidate position of the feature point in the facial image based on the reliability image; and a facial shape model conformity computation unit determining a feature point that satisfies conditions based on a position corresponding to each of the feature points of one facial shape model selected from a plurality of statistically generated facial shape models and the candidate position of the feature point, and calculating a conformity to the facial shape model. | 03-26-2015 |
| 20150104106 | METHOD, SYSTEM AND APPARATUS FOR DETERMINING A CONTOUR SEGMENT FOR AN OBJECT IN AN IMAGE CAPTURED BY A CAMERA - A method of determining a contour segment for an object in an image captured by a camera is disclosed. A plurality of corner points located on a part of an object in the image is determined. Pairs of corner points are selected from the determined corner points. A path for at least one of the pairs of corner points is determined, the path connecting the corner points of the at least one pair of corner points along the boundary of the object. The contour segment is determined for the object using the determined path. | 04-16-2015 |
| 20150117789 | IMAGE PROCESSING APPARATUS AND METHOD - An image analysis unit of an image processing apparatus acquires a distribution condition of feature points in an entire input image and in each of a plurality of small regions in the input image. A target point number setting unit sets a target point number for each small region based on the distribution condition of feature points in the entire input image. An expected point number setting unit sets an expected point number for each small region based on the distribution condition of feature points in the small region. A comparison unit compares the target point number and the expected point number. A sensitivity setting unit sets detection sensitivity based on the comparison result. A feature point detection unit performs feature point detection according to the detection sensitivity. | 04-30-2015 |
| 20150131911 | PATTERN PROCESSING APPARATUS, PATTERN PROCESSING METHOD, AND PATTERN PROCESSING PROGRAM - A pattern processing apparatus includes an acquisition unit, an adjacent element identification unit, a connection unit, and an assigning unit. The acquisition unit acquires a pattern image in which a plurality of pattern elements are arrayed in a grid, together with coordinate information of the pattern elements. The adjacent element identification unit identifies, for each of the pattern elements thus acquired, adjacent elements, in at least two directions, each having the shortest distance to the each of the pattern elements. The distances between the each of the pattern elements and other pattern elements are calculated using the coordinate information. The connection unit connects and groups, as a connected component, the pattern elements that are adjacent to one another. The assigning unit assigns position information in the array in order from the pattern element which is a starting point, among the pattern elements included in the connected component, according to a predetermined regularity. | 05-14-2015 |
| 20150146990 | PATTERN EXTRACTING DEVICE, IMAGE PROJECTING DEVICE, PATTERN EXTRACTING METHOD, AND PROGRAM - A pattern extracting device, an image projecting device, a pattern extracting method, and a program capable of extracting all the feature points by interpolating defective feature points even when there are defective feature points of an image pattern. The pattern extracting device extracts feature points to be interpolated based on a captured image of a projected image pattern, and interpolates the feature point to be interpolated by using near-by feature points that are located near the feature point, divides the near-by feature points into groups, calculates extrapolation coordinates of the groups, and calculates coordinates of the feature point to be interpolated in view of significance of the extrapolation. | 05-28-2015 |
| 20150302240 | METHOD AND DEVICE FOR LOCATING FEATURE POINTS ON HUMAN FACE AND STORAGE MEDIUM - The present invention relates to a method, device and storage medium for locating feature points on a human face. The method for locating feature points on a human face of the present invention comprises: preliminary locating of the position of a human face by combining human face detection with human eye matching, and acquiring preliminary locating information; according to the preliminary locating information, fitting feature points on the human face; and according to the fitting result, completing the locating of the feature points on the human face. The present invention has the beneficial effects that: by using human face detection and human eye matching at the same time, and incorporating at least one feature of an appearance model according to the preliminary locating information, the position information about a human face is more accurately located, and the location of the feature points on the human face is accurately accomplished. | 10-22-2015 |
| 20150332117 | COMPOSITION MODELING FOR PHOTO RETRIEVAL THROUGH GEOMETRIC IMAGE SEGMENTATION - A composition model is developed based on the image segmentation and the vanishing point of the scene. By integrating both photometric and geometric cues, better segmentation is provided. These cues are directly used to detect the dominant vanishing point in an image without extracting any line segments. Based on the composition model, a novel image retrieval system is developed which can retrieve images with similar compositions as the query image from a collection of images and provide feedback to photographers. | 11-19-2015 |
| 20150356346 | FEATURE POINT POSITION DETECTING APPARARUS, FEATURE POINT POSITION DETECTING METHOD AND FEATURE POINT POSITION DETECTING PROGRAM - A feature point position detecting apparatus according to the present invention detects a position of a feature point of an target image by: inputting initial information on the feature point position, which is provided from the outside, according to the target image; estimating feature point estimation positions, whose number is requested, in the target image on the basis of the feature point position initial information and feature point position estimation dictionary information; finding a search parameter, which is used for searching the feature point position of the target image, on the basis of the feature point estimation position; and carrying out parameter fitting to a model of the target image on the basis of the search parameter. | 12-10-2015 |
| 20150371106 | KEYPOINT DESCRIPTOR GENERATION BY COMPLEX WAVELET ANALYSIS - The present application relates to a method of generating a keypoint descriptor for identifying an object in an image or a sequence of images, the keypoint descriptor being substantially invariant to a transformation of the object in the image. The present application further relates to a method of identifying an object in an image using a keypoint descriptor; and processing apparatus and computer program products for implementing a method of the present application. | 12-24-2015 |
| 20150371110 | METHOD AND APPARATUS FOR EXTRACTING FEATURE REGIONS FROM POINT CLOUD - An apparatus and method for extracting a feature region from a point cloud are provided. The apparatus may divide the point cloud into a plurality of regions, and may extract at least one feature region from among the regions. | 12-24-2015 |
| 20150371385 | METHOD AND SYSTEM FOR CALIBRATING SURVEILLANCE CAMERAS - A method and a system for calibrating a plurality of surveillance cameras are provided. The method includes: sampling a plurality of first images in a monitoring scene of the plurality of surveillance cameras by a sampling device and sampling a second image by each of the plurality of surveillance cameras; performing a feature matching on the plurality of first images to obtain a matching result between the plurality of first images; reconstructing a three-dimensional point set of the monitoring scene according to the matching result between the plurality first of images; and calculating parameters of each of the plurality of surveillance cameras according to the three-dimensional point set and the second image sampled by each of the plurality of surveillance cameras. | 12-24-2015 |
| 20150379368 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM - There is provided with an image processing apparatus. An evaluation is set for each of the pairs. The evaluation is set based on at least one of the number of feature points in the first image where local feature amounts are similar to a local feature amount at one of the pair or the number of feature points in the second image where local feature amounts are similar to a local feature amount at one of the pair, in such a manner that the smaller the number of feature points, the higher the evaluation. A similarity between the first image and the second image is determined using a RANSAC method. A pair having a high evaluation is used with priority in derivation of a function for transforming coordinates using the RANSAC method. | 12-31-2015 |
| 20160004927 | VISUAL MATCHING ASSIST APPARATUS AND METHOD OF CONTROLLING SAME - The visual matching of two images is facilitated. An inspection tablet image and a genuine tablet image are each scanned by a local filter, correlation values between partial images and the local filter are calculated for every position of the local filter, and luminance images are generated using the calculated correlation values as luminance values. Multiple feature points where the luminance values are equal to or greater than a predetermined threshold value are determined in the luminance images and, based upon the multiple feature points, a registration parameter for eliminating relative offset between first and second images is calculated. The first luminance image and the second luminance image are brought into positional registration using the registration parameter calculated. | 01-07-2016 |
| 20160012311 | SYSTEMS, METHODS, AND DEVICES FOR IMAGE MATCHING AND OBJECT RECOGNITION IN IMAGES | 01-14-2016 |
| 20160034748 | Computerized Prominent Character Recognition in Videos - Techniques for identifying prominent subjects in video content based on feature point extraction are described herein. Video files may be processed to detect faces on video frames and extract feature points from the video frames. Some video frames may include detected faces and extracted feature points and other video frames may not include detected faces. Based on the extracted feature points, faces may be inferred on video frames where no face was detected. The inferring may be based on feature points. Additionally, video frames may be arranged into groups and two or more groups may be merged. The merging may be based on some groups including video frames having overlapping feature points. The resulting groups each may identify a subject. A frequency representing a number of video frames where the subject appears may be determined for calculating a prominence score for each of the identified subjects in the video file. | 02-04-2016 |
| 20160063346 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - An image processing device includes a feature point detecting section which detects a feature point from an image and which includes a ternarizing section and a determining section. The ternarizing section sets each pixel of the image as a target pixel and inputs pixel values of the target pixel and surrounding pixels. The ternarizing section changes each of the pixel values of the surrounding pixels to one of three signal values which represent that brightness of a surrounding pixel is brighter or darker than or similar to brightness of the target pixel. When the number of consecutive surrounding pixels having the same signal value is equal to or greater than a threshold, the determining section determines the target pixel as the feature point. | 03-03-2016 |
| 20160070983 | DENSITY SAMPLING MAP DATA - Sampling data is disclosed. A region of a map to be rendered is determined. It is determined that a first subregion is included in the region. Data points associated with subregions in a neighborhood of the first subregion are analyzed to determine a regional density of points. Data points associated with the first subregion are sampled based on the regional density of points. | 03-10-2016 |
| 20160070984 | DENSITY SAMPLING MAP LABELS - Sampling map labels is disclosed. A region of a map to be rendered is determined. It is determined that a first subregion is included in the region. Map labels associated with subregions in a neighborhood of the first subregion are analyzed to determine a regional density of map labels. Map labels associated with the first subregion are sampled based on the regional density of map labels. | 03-10-2016 |
| 20160086048 | Device and Method for Analyzing the Correlation Between an Image and Another Image or Between an Image and a Video - The present invention relates to a device and method for analyzing the correlation between an image and another image or between an image and a video. The device for analyzing the correlation between images and the method for using same include: a feature data generating unit for determining a feature point of an image and generating feature data which includes feature point orientation information on each determined feature point; and a relation analyzing unit for analyzing the correlation between an image and another image using feature data generated from the feature data generating unit. The relation analyzing unit includes: a unit for determining corresponding feature points, which determines a pair of corresponding feature points between compared images using feature data generated from the feature data generating unit; and a reliability estimating unit for estimating the reliability of the analysis of the relation between images on the basis of feature point orientation information on a feature point, in pairs of feature points determined by the unit for determining corresponding feature points. According to the present invention, provided are a device and method for quickly and efficiently analyzing a correlation, such as whether or not there is a similarity between an image and another image or between an image and a video, wherein said video includes an image, or a frame of said video corresponds to an image. | 03-24-2016 |
| 20160086304 | METHOD FOR ESTIMATING A 3D VECTOR ANGLE FROM A 2D FACE IMAGE, METHOD FOR CREATING FACE REPLACEMENT DATABASE, AND METHOD FOR REPLACING FACE IMAGE - A method for estimating a 3D vector angle from a 2D face image, a method for creating a face replacement database and a method for replacing a face image includes steps of capturing a face image, detecting a rotation angle of the face image, defining a region to be replaced in the face image, creating a face database for storing replaced images corresponding to the region to be replaced, and pasting one of the replaced images having the corresponding rotation angle of the face image into a target replacing region. Therefore, the region to be replaced of a static or dynamic face image can be replaced by a replaced image quickly by a single camera without requiring a manual setting of the feature points of a target image. These methods support face replacement at different angles and compensate the color difference to provide a natural look of the replaced image. | 03-24-2016 |
| 20160092750 | METHOD FOR RECOMMENDING ONE OR MORE IMAGES AND ELECTRONIC DEVICE THEREOF - A method for displaying one or more images in an electronic device is provided, which includes displaying a first image; retrieving at least one second image on the basis of additional information of the first image; comparing at least one first feature point of the first image with at least one second feature point of the at least one second image; displaying information on whether at least one recommended image with respect to the first image exists, based on a result of the comparison; and if the at least one recommended image exists, displaying the at least one recommended image according to a user input. | 03-31-2016 |
| 20160117573 | METHOD AND APPARATUS FOR EXTRACTING FEATURE CORRESPONDENCES FROM MULTIPLE IMAGES - A method and an apparatus for extracting feature correspondences from images are described. An image dataset, feature points of the images and preliminary correspondences of the feature points are acquired ( | 04-28-2016 |
| 20160125260 | SELECTING FEATURES FROM IMAGE DATA - SIFT features are selected from an input image. A SIFT procedure is applied to the input image to obtain candidate keypoints. For each candidate keypoint, there is calculation of a first Laplacian value (L | 05-05-2016 |
| 20160125261 | IMAGE ANALYSIS - A method for processing an image is proposed. The method comprises identifying a first group of keypoints in the image. For each keypoint of the first group, the method provides for identifying at least one corresponding keypoint local feature related to said each keypoint; for said at least one keypoint local feature, calculating a corresponding local feature relevance probability; calculating a keypoint relevance probability based on the local feature relevance probabilities of said at least one local feature. The method further comprises selecting keypoints, among the keypoints of the first group, having the highest keypoint relevance probabilities to form a second group of keypoints, and exploiting the keypoints of the second group for analysing the image. The local feature relevance probability calculated for a local feature of a keypoint is obtained by comparing the value assumed by said local feature with a corresponding reference statistical distribution of values of said local feature. | 05-05-2016 |
| 20160155014 | KEYPOINT IDENTIFICATION | 06-02-2016 |
| 20160180190 | DETERMINATION OF SPATIAL DISTRIBUTION OF CHARGED PARTICLE BEAMS | 06-23-2016 |
| 20160189359 | SAMPLING METHOD AND IMAGE PROCESSING APPARATUS OF CS-RANSAC FOR ESTIMATING HOMOGRAPHY - Disclosed is a sampling method for estimating a homography matrix. This sampling method, for estimating a homography matrix that represents conversion correlations between pluralities of images by means of Constraint Satisfaction-Random Sample Consensus (CS-RANSAC), includes the steps of: sampling to divide an input image into a form of grids (N by N), select features, which are used for calculating a homography matrix, from features, which are abstracted from the input image, by means of a random sampling, and inspect whether the features selected by the random sampling satisfy predefined constraints; and executing model estimation to calculate the homography matrix from the features only if the selected features satisfy the constraints. | 06-30-2016 |
| 20160196639 | APPARATUS AND METHOD FOR IMAGE STABILIZATION USING IMAGE BLUR CORRECTION | 07-07-2016 |
| 20160379047 | EMOTION DETECTION SYSTEM - Emotion detection systems disclosed herein actively protect the privacy and security of monitored subjects. This provision of protection differentiates these systems from conventional emotion detectors. In some examples, a self-contained emotion detection device protects the identity of a subject while providing anonymous data descriptive of the subject's emotional state to other devices within the emotion detection system. In these examples, the emotion detection device protects the identity of the subject by isolating raw image data acquired by the device exclusively within storage locations encapsulated within the device. To provide the anonymous data, the emotion detection device first processes the raw image data to identify landmark points within an image of the subject's face. Next, the emotion detection device normalizes the landmark points to a generic face and transmits an anonymous data set descriptive of the normalized landmark points to the other devices for subsequent processing. | 12-29-2016 |
| 20160379087 | METHOD FOR DETERMINING A SIMILARITY VALUE BETWEEN A FIRST IMAGE AND A SECOND IMAGE - A method for determining a similarity value between a first image and a second image, comprises the steps of providing a first plurality of point pairs, wherein each pair of the first plurality of point pairs has two image points in the first image, determining, for each pair of the first plurality of point pairs, a sign parameter and a weight associated with the respective pair of the first plurality of point pairs according to image intensities of the two image points of the respective pair of the first plurality of point pairs, providing a second plurality of point pairs, wherein each pair of the second plurality of point pairs has two image points in the second image and is corresponding to one of the point pairs of the first plurality of point pairs, determining, for each pair of the second plurality of point pairs, a sign parameter associated with the respective pair of the second plurality of point pairs according to image intensities of the two image points of the respective pair of the second plurality of point pairs, determining a score parameter according to weights associated with at least part of the first plurality of point pairs, wherein only point pairs are considered which have the same sign parameter as the respective corresponding pair of the second plurality of point pairs, determining a normalization parameter according to weights associated with the first plurality of point pairs or a part of the first plurality of point pairs, and determining a similarity value according to the score parameter and the normalization parameter. | 12-29-2016 |
| 20170236024 | AUTOMATED SYSTEM AND METHODOLOGY FOR FEATURE EXTRACTION | 08-17-2017 |
| 20190147290 | Storing Information for Access Using A Captured Image | 05-16-2019 |
