24th week of 2020 patent applcation highlights part 62 |
Patent application number | Title | Published |
20200184574 | A SYSTEM FOR SOCIAL INTERACTION BY MEANS OF TELECOMMUNICATION SYSTEM - A system for social interaction by means of telecommunication system is provided by the use of a button to activate the GPS social media social interaction for a short time and short range and provide indirect communication only for those in the immediate time and space relative to the user until direct communication is authorised. | 2020-06-11 |
20200184575 | SYSTEM AND METHOD FOR PROVIDING A SOCIAL CUSTOMER CARE SYSTEM - The present invention relates to social customer service and support systems integrated with social media and social networks. More particularly, the invention provides a social customer care platform system to allow customer care functions, and in particular to allow customer service agents to identify, prioritize, match and triage customer support requests that may arise through a social network and may be serviced using a social network. It manages and tracks a high-volume of customer interactions and provides for monitoring of Internet social network posts relevant to a business's products or services along with the ability to capture, monitor, filter, make sense of and respond to, in near real-time, tens of thousands of social interactions. It comprises role specific user-interface and functionality for social customer service and support environments, automated prioritization and matching for increased agent productivity, and an automated enterprise workflow to align social media support with existing business processes. | 2020-06-11 |
20200184576 | ENERGY RESOURCE PRE-ALLOCATION AND DELIVERY BASED ON DEMAND - Embodiments include methods, systems and computer readable storage medium for demand prediction and energy resource pre-allocation and/or relocation. The method includes monitoring, by a processor, venue event information for one or more locations. The method further includes calculating, by the processor, an energy resource demand based on a charge demand model. The method further includes determining, by the processor, whether the energy resource demand exceeds available energy resource stations provided at the location. The method further includes instructing, by the processor, one or more vehicles having spare energy resources to contribute at least a portion of the spare energy resources to meet the energy resource demand exceeding the available energy resource stations. | 2020-06-11 |
20200184577 | MANAGEMENT METHOD AND MANAGEMENT APPARATUS - A management method includes a step A of estimating, for each of the plurality of entities, an error pattern related to a prediction error occurring when a power consumption amount in a future period is predicted; and a step B of determining a group of entities from among the plurality of entities based on the error pattern, wherein the group is a destination of a power reduction request for reducing the power consumption amount. The step A includes a step of estimating whether the prediction error is a positive error or a negative error. The step B includes a step of determining the group such that a total prediction error of the group is minimized, by combining an entity of which the prediction error is estimated to be a positive error and an entity of which the prediction error is estimated to be a negative error. | 2020-06-11 |
20200184578 | METHOD FOR IMPLEMENTING O2O CATERING OPERATION, SERVER AND SMART COOKING DEVICE - The present disclosure provides a method for implementing O2O catering operation, a server and a smart cooking device. The method is applied to a server and includes: receiving a recipe uploaded from a merchant terminal; sending the recipe to at least one client terminal; receiving at least one order information sent from the at least one client terminal; decomposing and combining the at least one order information to obtain combined food material information, where the combined food material information includes the food material information obtained by combining same types of food materials in the received at least one order information; sending the at least one order information and the combined food material information to the merchant terminal; and sending an order recipe to a smart cooking device. | 2020-06-11 |
20200184579 | SYSTEM AND METHOD FOR IMPLEMENTING A CENTRALIZED CUSTOMIZABLE OPERATING SOLUTION - Systems and methods for implementing a centralized customizable operating solution. The system comprises: a central server module that is in communication with a plurality of input modules and a plurality of execution modules, wherein each input module is configured to accept inputs from a user relating to customized operations associated with the user; wherein the central server module is configured to: generate corresponding outputs based on the accepted inputs; and transmit each output to a relevant execution module for execution of the output. | 2020-06-11 |
20200184580 | HIERARCHICAL GENERATION OF BOOKING PROBABILITY - Systems and methods are provided for extracting a plurality of features for a listing from a datastore comprising a plurality of listings and a plurality of features for each of the plurality of listings, determining a cluster of similar listings to the listing and generating a set of cluster features for the cluster of similar listings, analyzing the set of cluster features for the cluster of similar listings based on a booking price, using a first trained machine learning model to determine a cluster-level probability of booking the listing on the given date, analyzing the plurality of features for the listing using the booking price, using a second trained machine learning model to determine a listing-level probability of booking the listing on the given date, and generating a final probability of booking by combining the cluster-level probability of booking and the listing-level probability of booking. | 2020-06-11 |
20200184581 | EMERGENCY SERVICES/VIRTUAL TRAVEL WALLET - Embodiments of the present disclosure provide a computer and network architecture configured to provide one or more travel services to users. The one or more travel services may enable the user to obtain funds in the event that the user's financial cards and/or cash are lost or stolen while the user is travelling. Additionally, the one or more travel services may enable the user to obtain a temporary form of identification if the user's passport or other form of identification are lost or stolen while travelling. Other travel services may that may be provided include a financial card cancellation service, a credit bureau alert service, a prepaid card service, or other services that enable a user to recover from an emergency situation that arises while the user is travelling. | 2020-06-11 |
20200184582 | ARTIFICIAL INTELLIGENCE REAL ESTATE PLATFORM - Improved customer relationship management systems and methods are provided. A system can include a private blockchain network of real estate transaction related information and a computer-based network, which can be configured to transmit educational materials to a user, authorize transfer of profit sharing to members of the system; provide artificial intelligence based information to the user, transmit sales and marketing materials to the user, authorize membership, and gather real estate based information. | 2020-06-11 |
20200184583 | APPARATUS AND METHODS FOR MARKETING REAL ESTATE ASSETS AND/OR OTHER HIGH VALUE ASSETS - An apparatus, including a database which stores user profiles, real estate asset profiles, or high value asset profiles, a receiver which receives a user request to access a real estate asset profile or high value asset profile; a processor which processes the request; and a transmitter which transmits the real estate asset profile or high value asset profile and contact information for the owner of the real estate asset or high value asset, a governmental entity, broker or agent, service provider, information or analytics provider, or financial institution, to a communication device. The communication device provides or displays an electronic forum or webpage containing the real estate asset profile or high value asset profile and the contact information. The receiver receives, and the apparatus stores, information regarding user's interest or offer to purchase the real estate asset or high value asset or an action or activity of the user. | 2020-06-11 |
20200184584 | SYSTEMS AND METHODS FOR LEGAL CLAUSE MATCHING AND EXPLANATION - A tool configured to cause the system to perform steps of a method is presented. The method includes receiving labeled training data comprising a labeled set of caselaw. The method further includes training a recurrent neural network model using the labeled training data to generate logical rules, wherein the logical rules comprise rules relating legal clauses from the labeled set of caselaw to outcomes from the labeled set of caselaw. The method includes applying the recurrent network model to a corpus of caselaw to generate a first set logical rules. The method includes receiving a first legal document comprising one or more legal clauses and applying the recurrent network model to the first legal document to generate a second set of logical rules. Based on a comparison of the first set of logical rules with the second set of logical rules, determining a relevant case from the corpus of caselaw. | 2020-06-11 |
20200184585 | PATENT MAP DISPLAY DEVICE, PATENT MAP DISPLAY METHOD, AND COMPUTER-READABLE RECORDING MEDIUM INCLUDING PATENT MAP DISPLAY PROGRAM STORED THEREIN - A patent map display device of the present invention is a patent map display device that displays a patent map on a user terminal that can be operated by a user and includes an information acquisition unit that acquires instruction information input to the user terminal by the user, a bibliographic DB that stores prior patent information, an analysis unit including a comparison section that compares the instruction information with the patent information and an evaluation section that performs patent evaluation of the instruction information by comparing the instruction information with the patent information on the basis of the comparison section, a patent map generation unit including a generation section that generates a map and a character representing an attribute related to an analysis result of the instruction information on the basis of attribute information including the patent evaluation and a disposition section that disposes the character in the map, and a display unit that displays a patent map generated by the patent map generation unit. | 2020-06-11 |
20200184586 | METHOD AND SYSTEM FOR AN ELECTRONIC, STRUCTURED CONTENT MANAGEMENT AND DELIVERY PLATFORM - The present invention includes a computer operated system and a computer program medium to generate executable two-party executed documents. The system and program provide a common text editor and common language parameters and clauses to provide for a more efficient generation of two-party transaction documents and subsequent reporting on document content. Also disclosed is a secure intra-system document transmission system to enable platform based negotiation and execution. | 2020-06-11 |
20200184587 | Method and System for Faculty Resource Management Using a Faculty Database Structure - A system and computerized method for managing faculty resources includes providing an input/output interface, a memory, and one or more processors communicably coupled to the input/output interface and the memory, providing a faculty database structure communicably coupled to the one or more processors and one or more databases, wherein the faculty database structure comprises a faculty profile for each faculty member that links personal data, position data, evaluation criteria and performance data together for the faculty member, selecting one or more of the faculty profiles using the input/output interface, determining a performance score for each selected faculty profile by comparing the performance data to the evaluation criteria using the one or more processors, and providing the performance score for each selected faculty profile to the input/output interface. | 2020-06-11 |
20200184588 | METHOD AND SYSTEMS FOR QUANTIFYING ORGANIZATIONAL CULTURE - The disclosure provides a cultural assessment system for a method of assessing culture of a school. The method may include collecting continuous school culture indicator ratings from teachers of the school via a web application, the continuous school culture indicator ratings being for each individual teacher for each of a plurality of school culture indicators for each of a plurality of school culture drivers. The method may include generating school culture driver scores for each of the plurality of school culture drivers based on the continuous school culture indicator ratings of the teachers of the school. The method may include displaying to the individual teacher, a comparison of school culture driver scores of the school and school culture driver scores of the individual teacher based on the continuous school culture indicator ratings of the individual teacher. | 2020-06-11 |
20200184589 | ANALYZING DATA FOR GENERATING CUSTOM EDUCATIONAL PLAN/CONTENT OPTIONS - A system and method that includes identifying a change in condition of a working environment. Educational content relevant to an educational category of the change in condition is retrieved. A skill gap of a team member associated with the working environment is calculated by comparing an existing educational training received by the team member relevant to the educational category with the educational content retrieved in response to identifying the change in condition. A custom education plan is built to resolve the skill gap of the team member. | 2020-06-11 |
20200184590 | SYSTEM AND METHOD FOR PROVIDING ACCESS TO MENTORING - A system and method for an exchange to connect people at all levels, young and old, in school and out of school, for the purpose of sharing knowledge and the goals of improving people's lives and career opportunities. | 2020-06-11 |
20200184591 | System and Methods for Analyzing Roadside Assistance Service of Vehicles in Real Time - Systems, apparatuses, and methods for providing roadside assistance services are described herein. The system may include network computing devices and computing devices associated with user vehicles and service vehicles. The system may predict incoming requests for roadside assistance services, and may allocate service providers among various geographical regions and/or time slots to handle the incoming requests. The system may receive a request for a roadside assistance service from a user. The system may select an appropriate service provider to assist the user, and may assign the service request to the selected service provider. | 2020-06-11 |
20200184592 | Hiding Information and Images via Deep Learning - The present disclosure provides systems and methods for hiding information using deep neural networks. In one example, a computer-implemented method is provided to train neural networks for hiding images, which includes inputting a package image and a cover image into an image hiding neural network and generating a carrier image as an output, the carrier image comprising the package image hidden within the cover image. The method includes inputting the carrier image into an image decoding neural network and generating a reconstruction of the package image as an output. The method includes simultaneously training the image decoding neural network based at least in part on a first loss function that describes a difference between the package image and the reconstruction of the package image and the image hiding neural network based at least in part on the first loss function and on a second loss function that describes a difference between the cover image and the carrier image. | 2020-06-11 |
20200184593 | INFORMATION PROCESSING APPARATUS, COMPUTER-READABLE RECORDING MEDIUM RECORDING IMAGE CONVERSION PROGRAM, AND IMAGE CONVERSION METHOD - An information processing apparatus includes: a memory; and a processor coupled to the memory and configured to: partition pixel values in a unit of row of an input image into a plurality of sections and allocates threads to the respective sections of the row, the threads being enabled to run in parallel by a processor; calculate, with each of the threads allocated in each row, distances each from a pixel having a certain value in the corresponding section of the row in the input image, and generates a first distance image which stores values indicating the distances; and calculate, with each of the threads allocated in each row, a first boundary value indicating a distance from a pixel having the certain value in another section of each row, by using a calculation result of the first boundary value in the another section of each row. | 2020-06-11 |
20200184594 | System on Chip Having Processing and Graphics Units - A graphics processing chip includes multiple graphics pipeline cores and multi-pipeline core logic circuitry to process graphic data streams received from a processor and to drive multiple GPUs on the multiple graphics pipeline cores. | 2020-06-11 |
20200184595 | METHOD AND DEVICE FOR DIGITAL IMAGE, AUDIO OR VIDEO DATA PROCESSING - Computer implemented method for digital image data, digital video data or digital audio data enhancement, and a computer implemented method for encoding or decoding this data in particular for transmission or storage, wherein an element representing a part of said digital data comprises an indication of a position of the element in an ordered input data of a plurality of data elements, wherein a plurality of elements is transformed to a representation depending on an invertible linear mapping, wherein the invertible linear mapping maps the input of the plurality of elements to the representation, wherein the invertible linear mapping comprises at least one autoregressive convolution. | 2020-06-11 |
20200184596 | Media Content Management for A Fixed Orientation Display - A method is implemented at an electronic device for displaying output from an application. The electronic device includes a display module and an application. The application sends to the display module a request to display output on the fixed orientation display. The display module determines whether the application is able to scale the output from the application to fit the fixed orientation display. In accordance with a determination that the application is able to scale the output, the electronic device causes the application to receive information concerning the fixed orientation display from the display module and scale the output for display on the fixed orientation display according to the information. In accordance with a determination that the application is not able to scale the output, the display module scales the output received from the application, thereby enabling the output of the application to be displayed on the fixed orientation display. | 2020-06-11 |
20200184597 | IMAGE PROCESSING APPARATUS CONFIGURED TO PERFORM EDGE PRESERVING SMOOTHING AND IMAGE PROCESSING METHOD THEREOF - An image processing apparatus includes a low-resolution image generating circuit configured to generate a low-resolution image including a second pixel corresponding to first pixels based on an input image including the first pixels, and an edge preserving smoothing circuit configured to generate a reliability of the second pixel based on characteristics of values of the first pixels and perform edge preserving smoothing on the input image using a value of the second pixel of which a reflection ratio is adjusted, based on the reliability of the second pixel. | 2020-06-11 |
20200184598 | SYSTEM AND METHOD FOR IMAGE DEMOSAICING - A method of adaptive demosaicing of a mosaiced image includes receiving the mosaiced image having a mosaic pattern with a first color, a second color, and a third color, obtaining a noise level index for the mosaiced image, determining whether the noise level index is greater than a threshold value, and, in response to the noise level index being greater than the threshold value, performing an adaptive demosaicing on the mosaiced image to generate an adaptively demosaiced image. The adaptive demosaicing includes interpolating values of a portion of unknown pixels of the first color in a horizontal or vertical direction, interpolating values of a portion of unknown pixels of the second color in a horizontal or vertical direction, and interpolating values of a portion of unknown pixels of the third color in a horizontal or vertical direction. | 2020-06-11 |
20200184599 | IMAGE STITCHING METHOD AND RELATED MONITORING CAMERA DEVICE - An image stitching method capable of effectively decreasing an amount of sampling points is applied to a first monitoring image and a second monitoring image overlapped with each other and generated by a monitoring camera device. The image stitching method includes acquiring a first sampling point and a second sampling point respectively on the first monitoring image and the second monitoring image, detecting a first specific parameter of the first monitoring image and a second specific parameter of the second monitoring image, determining whether the first sampling point is matched with the second sampling point according to the first specific parameter and the second specific parameter, and deciding whether to stitch the first monitoring image and the second monitoring image by the first sampling point and the second sampling point according a determination result. | 2020-06-11 |
20200184600 | METHOD AND DEVICE FOR OUTPUTTING AND EXAMINING A VIDEO FRAME - A method for outputting a video frame is disclosed, and the method includes: acquiring video images from multiple view angles; fusing and stitching, according to view angle information provided by a user terminal, video images of corresponding view angles to form a local video frame matching the view angle information; and providing the local video frame to the user terminal. | 2020-06-11 |
20200184601 | Generating Virtual Reality Content Based on Corrections to Stitching Errors - Illustrative methods and systems for generating virtual reality content based on corrections to stitching errors are described. An illustrative computer-implemented method includes receiving raw virtual reality video data representing images recorded by camera modules of a camera array, stitching the images together to generate an initial virtual reality render, determining that the initial virtual reality render has a stitching error, and generating a corrected virtual reality render that corrects the stitching error. | 2020-06-11 |
20200184602 | SUPER-RESOLUTION APPARATUS AND METHOD FOR VIRTUAL AND MIXED REALITY - An apparatus and method for efficiently improving virtual/real interactions in augmented reality. For example, one embodiment of a method comprises: capturing a raw image including depth data; identifying one or more regions of interest based on a detected spatial proximity of one or more virtual objects and one or more real objects; generating a super-resolution map of the one or more regions of interest using machine-learning techniques or results thereof; detecting interactions between the virtual objects and the real objects using the super-resolution map; and performing one or more graphics processing or general purpose processing operations based on the detected interactions. | 2020-06-11 |
20200184603 | GUIDED RESTORATION OF VIDEO DATA USING NEURAL NETWORKS - Guided restoration is used to restore video data degraded from a video frame. The video frame is divided into restoration units (RUs) which each correspond to one or more blocks of the video frame. Restoration schemes are selected for each RU. The restoration schemes may indicate to use one of a plurality of neural networks trained for the guided restoration. Alternatively, the restoration schemes may indicate to use a neural network and a filter-based restoration tool. The video frame is then restored by processing each RU according to the respective selected restoration scheme. During encoding, the restored video frame is encoded to an output bitstream, and the use of the selected restoration schemes may be signaled within the output bitstream. During decoding, the restored video frame is output to an output video stream. | 2020-06-11 |
20200184604 | METHOD AND APPARATUS FOR GEOMETRIC SMOOTHING - A method of video decoding performed in a video decoder includes receiving compressed geometric data corresponding to a three dimensional (3D) space. The method further includes receiving a low resolution occupancy map associated with the data cloud. The method further includes converting the low resolution occupancy map to a high resolution occupancy map. The method further includes reconstructing a point cloud using the compressed geometric data and the high resolution occupancy map. The method further includes performing a smoothing operation on one of the (i) reconstructed point cloud and (ii) the high resolution occupancy map. | 2020-06-11 |
20200184605 | DENOISING MONTE CARLO RENDERINGS USING PROGRESSIVE NEURAL NETWORKS - Supervised machine learning using neural networks is applied to denoising images rendered by MC path tracing. Specialization of neural networks may be achieved by using a modular design that allows reusing trained components in different networks and facilitates easy debugging and incremental building of complex structures. Specialization may also be achieved by using progressive neural networks. In some embodiments, training of a neural-network based denoiser may use importance sampling, where more challenging patches or patches including areas of particular interests within a training dataset are selected with higher probabilities than others. In some other embodiments, generative adversarial networks (GANs) may be used for training a machine-learning based denoiser as an alternative to using pre-defined loss functions. | 2020-06-11 |
20200184606 | PROCESSING VIDEO FRAMES VIA CONVOLUTIONAL NEURAL NETWORK USING PREVIOUS FRAME STATISTICS - An example apparatus for video imaging includes a feature estimator to calculate a local value of a feature for averaging in a compressed set of features of a current frame. The apparatus also includes a validator to calculate a validity map comprising a weight for frame-wide averaging based on the compressed current frame. The apparatus further includes a vector generator to generate a state vector based on the local value of the feature and the weight. The apparatus further includes a relevance calculator to calculate a relevance to local processing for each coordinate in a restored state vector associated with a previous frame. The apparatus further includes a vector modulator to multiply the restored state vector by the relevance feature to generate a set of output features. | 2020-06-11 |
20200184607 | IMAGE SIGNAL PROCESSOR, OPERATION METHOD OF IMAGE SIGNAL PROCESSOR, AND ELECTRONIC DEVICE INCLUDING IMAGE SIGNAL PROCESSOR - An image signal processor includes a first sharpening filter configured to perform a first filtering operation on a raw data output from an external image device to output first sharpness data. A second sharpening filter is configured to perform a second filtering operation on the raw data in parallel with the first filtering operation to output second sharpness data. An edge determiner is configured to determine an edge strength of an image corresponding to the raw data based on the raw data and to adjust a first weight and a second weight based on the determined edge strength. A combiner configured to combine first weight data in which the adjusted first weight is reflected in the first sharpness data and second weight data in which the adjusted second weight is reflected in the second sharpness data to generate output data. | 2020-06-11 |
20200184608 | PER-PIXEL FILTER - Various implementations disclosed herein include devices, systems, and methods for per-pixel filtering. In some implementations, a method includes obtaining an image data frame. In some implementations, the image data frame includes a plurality of pixels. In some implementations, the method includes generating a respective pixel characterization vector for each of the plurality of pixels. In some implementations, each pixel characterization vector includes an object label indicating an object type that the corresponding pixel of the plurality of pixels represents. In some implementations, the method includes modifying corresponding pixel data of the plurality of pixels having a first object label. In some implementations, the method includes synthesizing a first modified image data frame that includes modified pixel data for the plurality of pixels having the first object label and unmodified pixel data for the plurality of pixels not having the first object label. | 2020-06-11 |
20200184609 | SYSTEMS AND METHODS FOR IMAGE ENHANCEMENT - A method for automatically enhancing an image from a device includes obtaining a first image using an imaging device. Recognition software is configured to recognize an object or individual in the first image. An initial image profile is configured based on the first image. Editing software is used to edit at least one attribute of the initial image profile. At least one subsequent image is taken or received. The recognition software is used to recognize the object or individual in the at least one subsequent image. The at least one attribute of the at least one subsequent image is automatically edited based on the initial image profile. | 2020-06-11 |
20200184610 | Digital Image Completion Using Deep Learning - Digital image completion using deep learning is described. Initially, a digital image having at least one hole is received. This holey digital image is provided as input to an image completer formed with a framework that combines generative and discriminative neural networks based on learning architecture of the generative adversarial networks. From the holey digital image, the generative neural network generates a filled digital image having hole-filling content in place of holes. The discriminative neural networks detect whether the filled digital image and the hole-filling digital content correspond to or include computer-generated content or are photo-realistic. The generating and detecting are iteratively continued until the discriminative neural networks fail to detect computer-generated content for the filled digital image and hole-filling content or until detection surpasses a threshold difficulty. Responsive to this, the image completer outputs the filled digital image with hole-filling content in place of the holey digital image's holes. | 2020-06-11 |
20200184611 | DEPTH DECODING SYSTEM AND METHOD FOR GROUND-TRUTH IMAGE RECTIFICATION - A depth decoding system and a method for rectifying a ground-truth image are introduced. The depth decoder system includes a projector, a camera, a processor and a decoder. The projector is configured to project a structural light pattern to a first reference plane and a second reference plane. The camera is configured to capture a first ground-truth image from the first reference plane and capture a second ground-truth image from the second reference plane. The processor is configured to perform a rectification operation to the first ground-truth image and the second ground-truth image to generate a rectified ground-truth image. The decoder is configured to generate a depth result according to the rectified ground-truth image. | 2020-06-11 |
20200184612 | AUTOMATED REAL-TIME HIGH DYNAMIC RANGE CONTENT REVIEW SYSTEM - Methods, systems and computer program products are described herein that enable the identification and correction of incorrect and/or inconsistent tones in the bright regions in an HDR image. A bright region is identified in an image. The bright region is classified into an assigned classification. A luminance value of the bright region is determined and compared to a predefined luminance values corresponding to the classification. The luminance value of the bright region is adjusted to match the predefined luminance values where there is a mismatch. Bright regions including mismatched or incorrect luminance values may be rendered on display to include a visual indicator that such regions include mismatched luminance values. | 2020-06-11 |
20200184613 | METHODS FOR ENHANCING IMAGE CONTRAST AND RELATED IMAGE PROCESSING SYSTEMS THEREOF - An image processing method and corresponding system operate by obtaining a first image and generating a first histogram information based on the first image. The method then obtains a cumulative-distribution-function (CDF) curve according to the first histogram information and generates an adaptive curve according to a high-contrast curve and a low-contrast curve. Finally, the method uses the adaptive curve to adjust the CDF curve to generate a mapping curve, and adjusts the first image by using the mapping curve to generate a second image with contrast enhancement effect. | 2020-06-11 |
20200184614 | POWER DOPPLER IMAGING SYSTEM AND METHOD WITH IMPROVED CLUTTER SUPPRESSION - A method of power Doppler imaging may include receiving a plurality of temporally sequential frames of wall-filtered power Doppler signals, wherein the plurality of temporally sequential frames includes at least one previously adjusted output frame. The method may further include adjusting at least one of the plurality of temporally sequential frames to produce an adjusted output frame and generating a power Doppler image based, at least in part, on the adjusted output frame. The adjusting may involve filtering the plurality of temporally sequential frames to suppress the high spatial frequency and high temporal frequency content to produce the adjusted output frame. | 2020-06-11 |
20200184615 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - An image processing device, an image processing method, and an image processing program capable of outputting an image with appropriate sharpness for an input image that may include both a dynamic region and a static region. An image processing device includes a static and dynamic information calculator configured to calculate static and dynamic information of an input image; a blend ratio setting unit configured to determine a blend ratio by performing a predetermined operation on the static and dynamic information of the input image; and an image processing unit configured to generate an output image optimized for static and dynamic change by performing image processing on the input image on the basis of the blend ratio. | 2020-06-11 |
20200184616 | DETECTION OF SURFACE IRREGULARITIES IN COINS - Detection of surface irregularities in coins. Three-dimensional topographic data of at least one surface of a coin, having at least one feature, is acquired and used to determine characteristics of the coin features, based on vector components of normal vectors at various points on the surface of the coin. The feature characteristics are then compared to reference feature characteristics. Based on this comparison, an irregularity indication is provided if differences between the feature characteristics and the reference characteristics are found. | 2020-06-11 |
20200184617 | INSPECTION METHOD FOR A MANUFACTURED ARTICLE AND SYSTEM FOR PERFORMING SAME - A method for performing inspection of a manufactured article. The method comprises acquiring a sequence of radiographic images of the article; determining a position of the article for each one of the acquired radiographic images; and performing a three-dimensional model correction loop which comprises, iteratively: generating a simulated radiographic image for each determined position of the article; and comparing the simulated radiographic images and the acquired radiographic images and generating a match result. If the match result is indicative of a mismatch, the method includes identifying and characterizing differences between the simulated radiographic images and the acquired radiographic images; correcting one of a geometry and a material density of a region of interest of the detailed three-dimensional model of the article based on each one of the identified and characterized differences; and performing a new iteration. A system for performing inspection is also provided. | 2020-06-11 |
20200184618 | SEMICONDUCTOR PATTERN DETECTING APPARATUS - A semiconductor pattern detecting apparatus is provided. The semiconductor pattern detecting apparatus includes a stage configured to position a wafer formed with a semiconductor pattern, the stage extending in a first direction and a second direction perpendicular to the first direction, an electron emitter configured to irradiate first electrons on the semiconductor pattern, an electrode configured to generate an electric field to induce an electric potential on a surface of the semiconductor pattern, a detector configured to detect second electrons emitted from the semiconductor pattern, an imager configured to obtain a plurality of first images by using the second electrons detected by the detector, and at least one controller configured to apply a first voltage and a second voltage different from the first voltage to the electrode alternately and repeatedly and to generate a second image by combining the plurality of first images, wherein the imager is so configured that each of the plurality of first images are obtained when the first voltage is applied to the electrode. | 2020-06-11 |
20200184619 | ARTICLE INSPECTION INFORMATION MANAGEMENT APPARATUS, PROGRAM FOR THE SAME, AND ARTICLE INSPECTION SYSTEM - To increase reliability of a determination in operation modes different from in normal inspection of an article inspection apparatus by displaying information that can be checked by a manager with respect to a determination of the article inspection apparatus operated in the operation modes different from in the normal inspection and storing a checking result of the manager. There is provided a host computer | 2020-06-11 |
20200184620 | WETWOOD DETECTION IN SAWN OR PLANED WOOD PRODUCTS - The present disclosure provides embodiments of methods, systems, and apparatuses for detecting wet spots on machined surfaces of wood workpieces. Images of laser spots on a workpiece may be processed to determine area and aspect ratio values of the laser spots. Wet spots may be detected on the workpiece based at least on the area and aspect ratio values, and optionally based in part on color image data. A facility may use wet spot detection in grade determination and/or to classify wood pieces as ‘wet’ or ‘dry’ for the determination of appropriate drying conditions. | 2020-06-11 |
20200184621 | SYSTEMS AND METHODS OF USING ABSORPTIVE IMAGING METROLOGY TO MEASURE THE THICKNESS OF OPHTHALMIC LENSES - A method of measuring the thickness of an ophthalmic lens includes forming an ophthalmic lens over a convexly curved surface of a forming optic, the ophthalmic lens including a light absorptive component, and with the ophthalmic lens remaining over the convexly curved surface of the forming optic, measuring the thickness of the ophthalmic lens using information about the light absorptive component of the ophthalmic lens and an intensity reference value associated with the forming optic. The method includes passing light having a wavelength through the ophthalmic lens and the forming optic, whereupon the light absorptive component of the ophthalmic lens absorbs some of the light passing through the ophthalmic lens. The light passing through the ophthalmic lens and the forming optic, which is not absorbed by the light absorptive component of the ophthalmic lens, is used to generate an image having pixel intensity data. | 2020-06-11 |
20200184622 | DEGRADATION DETECTION DEVICE, DEGRADATION DETECTION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - A degradation detection device ( | 2020-06-11 |
20200184623 | SYSTEMS AND METHODS FOR QUALITY ASSURANCE OF IMAGE RECOGNITION MODEL - Disclosed embodiments provide systems, methods, and computer-readable storage media for stress testing a vehicle identification model by determining image quality parameters optimizing model confidence values. The embodiments comprise one or more memory devices storing instructions and one or more processors configured to execute instructions. The one or more processors perform operations comprising receiving a first set of images of the vehicle, wherein the images contain preset values for parameters comprising at least one of a rotation, a focus, a contrast, and a color. The system further analyzes the first set of images with an identification model and determining an initial identification confidence of the vehicle. The system further modifies the first set of images, compares the modified images to the first set of images, and determines whether the model should be modified based on at least the comparison. | 2020-06-11 |
20200184624 | INSPECTING APPARATUS BASED ON HYPERSPECTRAL IMAGING - Provided is a hyperspectral imaging (HSI)-based inspection apparatus capable of quickly and stably performing two-dimensional (2D) HSI for an inspection object, and accordingly, capable of quickly and accurately inspecting the inspection object. The HSI-based inspection apparatus includes: a stage on which an inspection object is arranged; an optical system configured to allow light to be incident on the inspection object and emit the light reflected from the inspection object; a scan mirror configured to reflect the emitted light from the optical system while rotating; and a hyperspectral camera configured to obtain an image having a wavelength direction and a line direction as two axes for light reflected from the scan mirror, wherein, by using the rotation of the scan mirror, the hyperspectral camera is configured to perform the 2D HSI for the inspection object. | 2020-06-11 |
20200184625 | METHOD AND APPARATUS FOR MEASURING THE ACCURACY OF MODELS GENERATED BY A PATIENT MONITORING SYSTEM - A method of identifying portions of a model of a surface of a patient which can be used to identify to position of a patient is provided. A pre-existing model of the surface of a patient is utilised to generate simulated images of the projection of patterns of light onto the surface of the patient. The simulated images are then processed to generate a further model of the surface. Any differences between the model generated by processing the simulated images and the original model surface identifies portions of the surface which cannot be reliably modelled and hence portions of a surface which should not be used to monitor the positioning of a patient. The invention has particular application for identifying the reliability and accuracy of generated models of the surface of a patient used for monitoring and positioning a patient undergoing radiotherapy. | 2020-06-11 |
20200184626 | DECORATIVE PRINT INSPECTION APPARATUS, DECORATIVE PRINT INSPECTION SYSTEM, METHOD OF INSPECTING DECORATIVE PRINT, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM - A decorative print inspection apparatus includes: a type selecting unit that selects a type of decoration; a region selecting unit that selects a decorative region regarding the type of decoration based on data for inspection for a printed material; a setting unit that sets a determination criterion in accordance with the type of decoration; and an inspection unit that determines a state of decoration by inspecting the decorative region in an image acquired by reading the printed material, based on the determination criterion that is set in accordance with the type of decoration. | 2020-06-11 |
20200184627 | QUALITY ASSESSMENT OF AN IMAGE - A method for quality assessment of an image. The method includes generating an (i+1) | 2020-06-11 |
20200184628 | System and Method for Difference Filter and Aperture Selection Using Shallow Deep Learning - A system for defect review and classification is disclosed. The system may include a controller, wherein the controller may be configured to receive one or more training images of a specimen. The one or more training images including a plurality of training defects. The controller may be further configured to apply a plurality of difference filters to the one or more training images, and receive a signal indicative of a classification of a difference filter effectiveness metric for at least a portion of the plurality of difference filters. The controller may be further configured to generate a deep learning network classifier based on the received classification and the attributes of the plurality of training defects. The controller may be further configured to extract convolution layer filters of the deep learning network classifier, and generate one or more difference filter recipes based on the extracted convolution layer filters. | 2020-06-11 |
20200184629 | SERVER AND METHOD FOR RECOGNIZING IMAGE USING DEEP LEARNING - Provided are a server and method for recognizing an image to determine whether an inspection target is faulty. The method includes generating a new image by transforming N images acquired from an inspection target into one or more channel spaces, and extracting a feature value by learning N images acquired by separating the new image according to channels. | 2020-06-11 |
20200184630 | METHOD FOR DETECTING HOLLOWING OF EXTERIOR WALL FINISH LAYER - The present invention belongs to the technical field of constructional engineering safety detection, and provides a method for detecting hollowing of an exterior wall finish layer. The method for detecting a defect of a facade finish layer of a building proposed by the present invention can realize remote detection in the on-site detection operation and avoid high-altitude hazardous operation of personnel, and is simple and convenient in operation. In data analysis and processing, the method not only can overcome the subjectivity and the instability caused by manual color identification of a temperature image, but also can realize batch processing of image analysis through software or conduct real-time detection and analysis. | 2020-06-11 |
20200184631 | FOIL-STAMPED PRINT INSPECTION APPARATUS, FOIL-STAMPED PRINT INSPECTION SYSTEM, METHOD OF INSPECTING FOIL-STAMPED PRINT, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING PROGRAM - A foil-stamped print inspection apparatus includes: a region selecting unit that selects a foil-stamped region based on data for inspection for a printed material; and an inspection unit that inspects a foil-stamped state of the printed material and determines that foil is unsatisfactory if the foil-stamped region in an image acquired by reading the printed material has a gray level that falls outside a predetermined range. A method of inspecting foil-stamped print includes: a region selecting step of selecting a foil-stamped region based on data for inspection for a printed material; and an inspecting step of inspecting a foil-stamped state of the printed material and determining that foil is unsatisfactory if the foil-stamped region in an image acquired by reading the printed material has a gray level that falls outside a predetermined range. | 2020-06-11 |
20200184632 | NON-CONTACT SYSTEM AND METHOD FOR DETECTING DEFECTS IN AN ADDITIVE MANUFACTURING PROCESS - A Pulsed Thermography (PT) system and method is provided utilizing a long duration pulse in combination with a radiant heat shield as a non-destructive testing method for quantitatively measuring defect depths within a 3D printed part and for characterizing layer-by-layer surface defects in the 3D printed part. | 2020-06-11 |
20200184633 | DIGITAL COLOR ASSESSMENT - Assessing color digitally can include imaging digitally a custom color calibration chart under a set of lighting conditions; imaging digitally a workpiece under substantially identical lighting conditions; and comparing color measurement data from the custom color calibration chart to color measurement data from the workpiece to characterize the workpiece. | 2020-06-11 |
20200184634 | IMAGING SYSTEM AND METHOD FOR GENERATING A MEDICAL IMAGE - A method that includes acquiring image data, and determining a quality level for a measurement presented in a medical image. The quality level is based on the acquired image data. The method also includes generating the medical image including a measurement indicator based on the quality level, and displaying the medical image on a display device. | 2020-06-11 |
20200184635 | METHOD AND MEANS OF CAD SYSTEM PERSONALIZATION TO REDUCE INTRAOPERATOR AND INTEROPERATOR VARIATION - A system and method is disclosed to reduce variation of the clinical decision making process when an image reporting and data system (IRADS) for medical diagnosis is used. Image reporting and data systems provide guidelines for an operator to identify images as belonging to one of a number of categories and specific clinical actions are then recommended based upon such categories. Some clinical actions such as biopsies may be recommended by IRADS even when they are not necessary. The present inventive concept is configured to utilize a Computer-Assisted Diagnosis (CAD) system that is specifically programmed to minimize discrepancies between the recommended clinical actions of an individual or specific group of experts using the standard IRADS process and the optimum clinical actions based on correlation with biopsy proven data. The resulting CAD system reduces the number of unnecessary clinical actions such as biopsies based on the operator's error profile. | 2020-06-11 |
20200184636 | METHOD AND SYSTEM FOR DETECTING AND ANALYZING MUCOSA OF DIGESTIVE TRACT - A method and a system for detecting and analyzing a mucosa of a digestive tract are provided. The method includes detecting reply signals from the mucosa of the digestive tract within a depth range, acquiring 2D vascular images by performing a vascular enhancement on the reply signals, constructing a 3D vascular contrasting image of at least part of the mucosa of the digestive tract within the depth range by recombining at least part of the 2D vascular images, and reconstructing a 3D vascular contrasting projection image by performing a projection process to the 3D vascular contrasting image, and defining a stage of the mucosa of the digestive tract within the depth range according to the 3D vascular contrasting projection image, the 3D vascular contrasting image, the 2D vascular images, and vessel morphologies shown therein. | 2020-06-11 |
20200184637 | IDENTIFYING THE QUALITY OF THE CELL IMAGES ACQUIRED WITH DIGITAL HOLOGRAPHIC MICROSCOPY USING CONVOLUTIONAL NEURAL NETWORKS - A system for performing adaptive focusing of a microscopy device comprises a microscopy device configured to acquire microscopy images depicting cells and one or more processors executing instructions for performing a method that includes extracting pixels from the microscopy images. Each set of pixels corresponds to an independent cell. The method further includes using a trained classifier to assign one of a plurality of image quality labels to each set of pixels indicating the degree to which the independent cell is in focus. If the image quality labels corresponding to the sets of pixels indicate that the cells are out of focus, a focal length adjustment for adjusting focus of the microscopy device is determined using a trained machine learning model. Then, executable instructions are sent to the microscopy device to perform the focal length adjustment. | 2020-06-11 |
20200184638 | SYSTEMS AND METHODS FOR ENHANCING SURGICAL IMAGES AND/OR VIDEO - A system for enhancing an image during a surgical procedure includes an image capture device configured to be inserted into a patient and capture an image inside the patient. The system also includes a controller that applies at least one image processing filter to the image to generate an enhanced image. The image processing filter includes a spatial decomposition filter that decomposes the image into a plurality of spatial frequency bands, a frequency filter that filters the plurality of spatial frequency bands to generate a plurality of filtered enhanced bands, and a recombination filter that generates the enhanced image to be displayed by a display. | 2020-06-11 |
20200184639 | METHOD AND APPARATUS FOR RECONSTRUCTING MEDICAL IMAGES - Provided is a method and apparatus for reconstructing a medical image. The apparatus for reconstructing a medical image generates at least one base image by reducing a dimensionality of a three-dimensional (3D) medical image, generates at least one segmented image by reducing a dimensionality of a 3D image of a region of a tissue segmented from the 3D medical image or a 3D image of a region excluding the tissue from the 3D medical image, and trains, by using training data including the at least one base image and the at least one segmented image, an artificial intelligence (AI) model that separates at least one tissue from a medical image showing a plurality of tissues overlapping one another on the same plane. | 2020-06-11 |
20200184640 | SYSTEMS AND METHODS FOR DISPLAYING MEDICAL IMAGING DATA - A system for displaying medical imaging data comprising one or more data inputs, one or more processors, and one or more displays, wherein the one or more data inputs are configured for receiving first image data generated by a first medical imaging device, wherein the first image data comprises a field of view (FOV) portion and a non-FOV portion, and the one or more processors are configured for identifying the non-FOV portion of the first image data and generating cropped first image data by removing at least a portion of the non-FOV portion of the first image data, and transmitting the cropped first image data for display in a first portion of the display and additional information for display in a second portion of the display. | 2020-06-11 |
20200184641 | A Deep Learning Method For Predicting Patient Response To A Therapy - A method for indicating how a cancer patient will respond to a predetermined therapy relies on spatial statistical analysis of classes of cell centers in a digital image of tissue of the cancer patient. The cell centers are detected in the image of stained tissue of the cancer patient. For each cell center, an image patch that includes the cell center is extracted from the image. A feature vector is generated based on each image patch using a convolutional neural network. A class is assigned to each cell center based on the feature vector associated with each cell center. A score is computed for the image of tissue by performing spatial statistical analysis based on classes of the cell centers. The score indicates how the cancer patient will respond to the predetermined therapy. The predetermined therapy is recommended to the patient if the score is larger than a predetermined threshold. | 2020-06-11 |
20200184642 | METHOD FOR SKIN EXAMINATION BASED ON RBX COLOR-SPACE TRANSFORMATION - The present invention discloses a method for detecting skin conditions, and the method includes the steps of: capturing a skin image from a suspected subject; decomposing the skin image into an RBX image through RBX color-space transformation; and determining skin condition of the subject according to a parameter of a color model of the RBX image. | 2020-06-11 |
20200184643 | CLASSIFICATION AND MUTATION PREDICTION FROM HISTOPATHOLOGY IMAGES USING DEEP LEARNING - Systems and methods for classification and mutation prediction from histopathology images using deep learning. In particular, the examples described herein utilize lung cancer as an example, in particular adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC) as two subtypes of lung cancer to identify and distinguish between. | 2020-06-11 |
20200184644 | MEDICAL IMAGE PROCESSING DEVICE AND MEDICAL IMAGE PROCESSING METHOD - Provided are a medical image processing device and a medical image processing method which can accurately grasp a reproduction status of a video of a medical image by a user such as a doctor. A video reproduction control unit that controls reproduction of a video of a medical image in a display device; a reproduction number control unit that counts the reproduction number of the video by the video reproduction control unit, and counts up the reproduction number of the video in a case where the video is reproduced until a specific frame image among a plurality of frame images constituting the video; and an information display control unit that causes the display device to display the reproduction number of the video, which is counted by the reproduction number control unit are included. | 2020-06-11 |
20200184645 | MEDICAL IMAGE PROCESSING APPARATUS - A medical image processing apparatus having a processor configured to: acquire a plurality of medical images each including a subject image; detect a region of interest for each medical image; determine whether or not a plurality of the regions of interest detected for each medical image are regions including the same target; and count the number of the regions of interest excluding an overlap of the regions determined to include the same target among the plurality of the regions of interest. | 2020-06-11 |
20200184646 | SYSTEMS AND METHODS FOR PROBABLISTIC SEGMENTATION IN ANATOMICAL IMAGE PROCESSING - Systems and methods are disclosed for performing probabilistic segmentation in anatomical image analysis, using a computer system. One method includes receiving a plurality of images of an anatomical structure; receiving one or more geometric labels of the anatomical structure; generating a parameterized representation of the anatomical structure based on the one or more geometric labels and the received plurality of images; mapping a region of the parameterized representation to a geometric parameter of the anatomical structure; receiving an image of a patient's anatomy; and generating a probability distribution for a patient-specific segmentation boundary of the patient's anatomy, based on the mapping of the region of the parameterized representation of the anatomical structure to the geometric parameter of the anatomical structure. | 2020-06-11 |
20200184647 | PROGRESSIVE AND MULTI-PATH HOLISTICALLY NESTED NETWORKS FOR SEGMENTATION - Methods include processing image data through a plurality of network stages of a progressively holistically nested convolutional neural network, wherein the processing the image data includes producing a side output from a network stage m, of the network stages, where m>1, based on a progressive combination of an activation output from the network stage m and an activation output from a preceding stage m−1. Image segmentations are produced. Systems include a 3D imaging system operable to obtain 3D imaging data for a patient including a target anatomical body, and a computing system comprising a processor, memory, and software, the computing system operable to process the 3D imaging data through a plurality of progressively holistically nested convolutional neural network stages of a convolutional neural network. | 2020-06-11 |
20200184648 | IMAGE PROCESSING METHOD AND CORRESPONDING SYSTEM - A method includes receiving a time series of slice images of medical imaging. The images have a region of interest located at a lung lesion. The method also includes tracking over at least one subset of slice images in a time series of slice images variations over time of at least one image parameter at the set of points in the region of interest. Classifier processing is applied to set of signals indicative of tracked time variations of the at least one image parameter at respective points in the set of points. A classification signal is indicative of the tracked time variations of the at least one image parameter reaching or failing to reach at least one classification threshold. | 2020-06-11 |
20200184649 | MEDICAL IMAGE PROCESSING APPARATUS, MEDICAL IMAGE PROCESSING METHOD, AND MEDICAL IMAGE PROCESSING PROGRAM - In a medical image processing apparatus, a medical image processing method, and a medical image processing program, in a case where there are a plurality of past brain images, it is possible to select a past brain image with which the atrophy rate of the brain can be accurately calculated. An image acquisition unit acquires a target brain image Bt as a diagnostic target and a plurality of past brain images Bpi, which have earlier imaging dates and times than the target brain image Bt, for the same subject. A similarity calculation unit calculates the similarity between each of the plurality of past brain images Bpi and a standard brain image Bs. A selection unit selects a reference brain image B0 serving as a reference for calculating the amount of change of the brain from the plurality of past brain images Bpi. | 2020-06-11 |
20200184650 | IMAGING ANALYZER - A control target area determiner | 2020-06-11 |
20200184651 | IMAGE PROCESSING SYSTEM, IMAGE PROCESSING METHOD, AND PROGRAM - To simplify a configuration for increasing an amount of information on an observation space, taken image acquisition means of an image processing system acquires taken images that have been taken by image taking means, which is movable in a real space. Observation space information acquisition means acquires, based on changes in position of a feature point cloud in the taken images, observation space information including three-dimensional coordinates of the feature point cloud in an observation space. Machine learning means acquires, based on machine learning data on a feature of an object, additional information on a feature of a photographed object shown in the taken images. Integration means integrates the observation space information and the additional information. | 2020-06-11 |
20200184652 | DETECTING MOTION IN VIDEO USING MOTION VECTORS - Technology is disclosed herein for detecting motion in video using motion vectors. In an implementation, a frame of video is divided into regions and a vector score is identified for each of the regions. A selection is then made of a subset of the regions based on the identified vector scores, i.e. at least some of the regions may be excluded from further analysis based on their score. The selected subset is divided into or grouped in clusters. Motion may then be identified in response to at least one of the clusters appearing in at least one other frame of the video. | 2020-06-11 |
20200184653 | ENHANCED TECHNIQUES FOR TRACKING THE MOVEMENT OF REAL-WORLD OBJECTS FOR IMPROVED POSITIONING OF VIRTUAL OBJECTS - This disclosure provides enhanced techniques for tracking the movement of real-world objects for improved display of virtual objects that are associated with the real-world objects. A first device can track the position of a real-world object. When the real-world object moves out of a viewing area of the first device, a second device can use metadata defining physical characteristics of the real-world object shared by the first device to identify the real-world object as the real-world object comes into a viewing area of the second device. The second device can then maintain an association between the real-world object and the virtual objects as the real-world object moves, and share such information with other computers to enable the other computers to display the virtual objects in association with the real-world object even though they are not in direct view of an associated real-world object. | 2020-06-11 |
20200184654 | METHOD FOR DETECTING VEHICLE AND DEVICE FOR EXECUTING THE SAME - There is provided a method for detecting a vehicle including receiving continuously captured front images, setting a search area of the vehicle in a target image based on a location of the vehicle or a vehicle area detected from a previous image among the front images, detecting the vehicle in the search area according to a machine learning model, and tracking the vehicle in the target image by using feature points of the vehicle extracted from the previous image according to a vehicle detection result based on the machine learning model. Since the entire image is not used as a vehicle detection area, a processing speed may be increased, and a forward vehicle tracked in an augmented reality navigation may be continuously displayed without interruption, thereby providing a stable service to the user. | 2020-06-11 |
20200184655 | IMAGE PROCESSING METHOD, TERMINAL, AND STORAGE MEDIUM - An image processing method is provided, including: extracting at least one image feature point from a target frame image captured by a camera; obtaining feature information of at least one optical flow image feature point in a previous frame image captured by the camera in a case that the target frame image is a valid frame image, and determining, in the at least one image feature point, an image feature point corresponding to the optical flow image feature point according to feature information of the at least one image feature point; calculating a displacement distance, in a frame image, between the optical flow image feature point in the previous frame image and the corresponding image feature point in the target frame image; and outputting the target frame image in response to determining according to the displacement distance that the target frame image is captured in a non-motion state. | 2020-06-11 |
20200184656 | CAMERA MOTION ESTIMATION - Implementations generally relate to determining camera motion. In one implementation, a method includes capturing a first image and a second image of a physical scene with a camera in respective first and second positions. The method further includes determining first and second image points from the respective first and second image points. The method further includes determining first and second directions of gravity relative to the camera in the respective first and second positions. The method further includes determining a motion of the camera between the capturing of the first image and the capturing of the second image, wherein the determining of the motion of the camera is based at least in part on the first image points, the second image points, the first direction of gravity, and the second direction of gravity. | 2020-06-11 |
20200184657 | MOVING OBJECT DETECTION METHOD AND SYSTEM BASED ON MULTIPLE SENSORS ON SAME PLATFORM - A detection method and system are used for a moving target based on multiple sensors on the same platform. N mutually independent image sensors arranged on a monolithic planar array sensor compose an image sensor group, which has a layout where n image sensors are arranged equidistantly on the same line in a travelling direction of a satellite. The method includes respectively collecting image data by the multiple sensors, performing on-board pre-processing to the image data collected by each image sensor, acquiring an image from the received pre-processed image data, and performing operation to the image from different image sensors, to recognize the moving target. The system includes sequentially connected sensor groups, an image data pre-processing device and a wireless transmitting device, a wireless receiving device wirelessly connected with the wireless transmitting device, and a moving target recognition device connected with the wireless receiving device. | 2020-06-11 |
20200184658 | MONITORING METHOD AND DEVICE FOR MOBILE TARGET, MONITORING SYSTEM AND MOBILE ROBOT - The present application provides a monitoring method and device for a mobile target, a monitoring system and mobile robot. The present application through the technical solution that acquiring multiple-frame images captured by an image acquisition device under an moving state of a robot in a monitored region, selecting at least two-frame images with an overlapped region from the multiple-frame images, performing comparison between the selected images by image compensation method or feature matching method, and outputting monitoring information containing a mobile target which moves relative to a static target based on the result of comparison, wherein the position of the mobile target has an attribute of indefinite change, the mobile target in the monitored region can be recognized precisely during movement of the mobile robot, and monitoring information about the mobile target can be generated to prompt correspondingly, thereby safety of the monitored region can be effectively ensured. | 2020-06-11 |
20200184659 | System and Method for Searching for Objects by Movement Trajectories on the Site Plan - The system for display the movement of objects in the controlled area comprise multiple sensors or devices, memory, image display unit, graphical user interface, data input/output device, and data processing device. The data processing device is configured to receive a request, as well as the search criteria from the user to perform the search for the object data. Drawing and display of the object movement scheme in the site plan using the data obtained from the various sensors and/or devices that determine specific position of the object at specific points of time is achieved. | 2020-06-11 |
20200184660 | UNSUPERVISED DEFORMABLE REGISTRATION FOR MULTI-MODAL IMAGES - In order to reduce computation time and provide more accurate solutions for bi-directional, multi-modal image registration, a learning-based unsupervised multi-modal deformable image registration method that does not require any aligned image pairs or anatomical landmarks is provided. A bi-directional registration function is learned based on disentangled shape representation by optimizing a similarity criterion defined on both latent space and image space. | 2020-06-11 |
20200184661 | METHOD AND APPARATUS FOR PERFORMING FACIAL REGISTRATION - A method and apparatus for performing facial registration includes selecting a plurality of target locations for registration. It is indicated that registration is taking place at each of the plurality of target locations, and it is indicated that registration is complete at the each of the plurality of target locations as each target location is registered. Once the registration of all target locations is complete, it is indicated to the system. | 2020-06-11 |
20200184662 | STRUCTURED LIGHT PROJECTOR - Described examples include a structured light projector including a light source. The structured light projector also includes a spatial light modulator arranged to modulate light from the light source. The structured light projector also includes a diffractive optical element arranged to modulate the light from the light source. The structured light projector further includes projection optics arranged to project the light modulated by the spatial light modulator and the diffractive optical element to a target. | 2020-06-11 |
20200184663 | SYSTEMS AND METHODS FOR ACQUIRING INFORMATION FROM AN ENVIRONMENT - A system for acquiring information from an environment, comprising: a light source for generating at least one beam; a first optical setup for converting the at least one beam into a distorted light pattern projectable onto an environment; and a second optical setup for converting an original view returned from the environment and comprising the distorted light pattern deformed by at least one surface of the environment into a corrected image comprising a corrected pattern. | 2020-06-11 |
20200184664 | ELECTRONIC DEVICE AND METHOD FOR ACQUIRING DEPTH INFORMATION OF OBJECT BY USING THE SAME - An electronic device is disclosed herein. The electronic device includes an illuminator configured to output light of a first designated wavelength band, a time of flight (ToF) sensor configured to acquire the light of the first designated wavelength band, an optical sensor configured to acquire light of a second designated wavelength band, and a processor, configured to: measure, through the optical sensor, a light quantity of an environment in which the electronic device is disposed, determine a first power amount to be supplied to the illuminator, based on the measured light quantity, control the illuminator to irradiate light of a first intensity toward an object, using a supply of power to the illuminator at the first power amount, detect, by the ToF sensor, at least a part of the irradiated light, when reflected off the object and back towards the electronic device, and generate depth information for the object using the at least the part of the detected irradiated light reflected off the object. | 2020-06-11 |
20200184665 | SHAPE INFORMATION ACQUISITION APPARATUS AND SHAPE INFORMATION ACQUISITION METHOD - A shape information acquisition apparatus, comprises a memory and at least one processor and/or at least one circuit to perform operations of the following units. The acquiring unit is configured to acquire photometric images for which a subject is illuminated from different directions by an illuminance portion and a pattern projection image for which a predetermined light pattern is projected onto the subject by a projection portion. The detection unit configured to detect a position of the illuminance portion based on the pattern projection image. The shape calculation unit configured to calculate shape information for the subject based on the photometric images and the position of the illuminance portion. | 2020-06-11 |
20200184666 | METHOD AND APPARATUS FOR IMPROVING 3D IMAGE DEPTH INFORMATION AND UNMANNED AERIAL VEHICLE - Implementations of the present invention disclose a method for improving 3D image depth information and an unmanned aerial vehicle. The method includes: acquiring a raw 3D image, performing first-time exposure on the raw 3D image, and generating a first exposure image; and if a quantity of effective pixel points in the first exposure image meets a preset condition, extracting the effective pixel point in the first exposure image; otherwise, continuously performing exposure on the raw 3D image and generating a corresponding exposure image, and determining whether the quantity of effective pixel points of the exposure image meets the preset condition until an exposure time reaches an exposure time threshold or a quantity of effective pixel points in the corresponding image generated through exposure meets the preset condition, and extracting the effective pixel point in the corresponding image; and demarcating and calibrating the effective pixel point, and generating a 3D depth information map. | 2020-06-11 |
20200184667 | System for Volume Dimensioning Via Holographic Sensor Fusion - A wearable augmented reality (AR) device (e.g., virtual reality (VR), mixed reality (MR) device is disclosed. The wearable device communicates with a system for volume dimensioning via two-dimensional (2D)/three-dimensional (3D) sensor fusion. The AR device display to the user a two-dimensional (2D) image stream of a field of view (FOV) including target objects and 3D imaging data of the FOV including point clouds of each target object within the FOV. Target objects are identified by correlating the 2D and 3D image streams and generating a holographic model of the target object overlaid on the video stream, with adjustable surface, edge, and vertex guides. Precise dimensions and unique object identifiers of the target object are determined and decoded and displayed to the user via the wearable device; the user may manipulate or adjust the display via gestures or commands detectable by the wearable device. | 2020-06-11 |
20200184668 | SYSTEMS AND METHODS FOR THREE-DIMENSIONAL POSE DETERMINATION - A method is described. The method includes mapping features extracted from an unannotated red-green-blue (RGB) image of the object to a depth domain. The method further includes determining a three-dimensional ( | 2020-06-11 |
20200184669 | ADAPTIVE INFRARED LIGHTING FOR FULL VEHICLE CABIN BASED ON OCCUPANCY - A system for selectively activating infrared lights in a vehicle cabin includes a controller comprising a processor and a non-transitory computer readable memory, two or more infrared illumination sources positioned within the vehicle cabin, the two or more infrared illumination sources communicatively coupled to the controller, an imaging device communicatively coupled to the controller and a machine-readable instruction set stored in the non-transitory computer readable memory of the controller. The machine-readable instruction set causes the system to perform at least the following when executed by the processor: receive image data from the imaging device, determine a location of an occupant in the vehicle cabin based on the image data, and activate a first infrared illumination source of the two or more infrared illumination sources that corresponds to the location of the occupant in the vehicle cabin. | 2020-06-11 |
20200184670 | APPARATUS AND METHOD FOR ANGLE-BASED LOCALIZATION OF A POSITION ON A SURFACE OF AN OBJECT - An apparatus for angle-based localization of a position on a surface of an object includes an orientation sensor configured to be arranged in a known relationship relative to a position, to be identified, on a surface of an object at at least one measurement time and to capture angle information items in respect of the current orientation thereof at the measurement time, and a programmable device, with a processor and a memory, wherein the memory contains instructions and at least one assignment prescription for the object with the surface, where angle information items are assigned associated positions on the surface of the object, and wherein the instructions cause the programmable device to receive the angle information items captured at the measurement time by the orientation sensor and to establish the position to be identified by an assignment to the captured angle information items on the basis of the assignment prescription. | 2020-06-11 |
20200184671 | IMAGE PROCESSING SYSTEM AND IMAGE PROCESSING METHOD - An image processing method includes the following steps: dividing an object block into a two-dimensional image; identifying at least one view hotspot in a viewing field corresponding to pupil gaze direction; receiving the view hotspot and an indicator signal; wherein the indicator signal is used to remark the object block; and generating a mask block that corresponds to the object block according to the view hotspot; wherein the indicator signal determines the label of the mask block. | 2020-06-11 |
20200184672 | INFORMATION MEASURING METHOD AND INFORMATION MEASURING SYSTEM - An information measuring method is used for measuring installation information of a camera disposed over a plane with an installation height and oriented towards the plane with a shooting angle. The information measuring method includes steps of disposing a first reference point and a second reference point on the plane; measuring a first distance and a second distance between the first reference point, the second reference point and a third reference point; capturing an image including the first reference point, the second reference point and the third reference point; analyzing the image to define a first reference line and a second reference line; determining a first angle and a second angle according to the first reference line, the second reference line and a first normal line; and determining the installation height and/or the shooting angle according to the first distance, the second distance, the first angle and the second angle. | 2020-06-11 |
20200184673 | METHOD FOR IDENTIFYING FOREGROUND OBJECT IN IMAGE AND ELECTRONIC DEVICE - A method for identifying a foreground object in an image and an electronic device are provided. The method includes: dividing a first image and a second image to obtain first image blocks in the first image and second image blocks in the second image; comparing the first image blocks with the second image blocks to obtain a plurality of disparity values respectively corresponding to the first image blocks, and generating a disparity image including the disparity values; comparing each disparity value in the disparity image with a first threshold to form a disparity depth image, and selecting a selected block from the disparity depth image to form a first region; and mapping the first region into the first image to identify a mapped object and identify the object as a foreground object. | 2020-06-11 |