Abstract: The present disclosure is generally directed to reconstructing representations of bodies from images. An example method of the present disclosure includes inputting, into a machine-learned reconstruction model, input data descriptive of an image depicting a body; predicting, using a machine-learned marker prediction component of the reconstruction model, a set of surface marker locations on the body; and outputting, using a machine-learned marker poser component of the reconstruction model, an output representation of the body that corresponds to the set of surface marker locations. In the example method, one or more parameters of the reconstruction model were learned at least in part based on a consistency loss corresponding to a distance between relaxed-constraint representations generated from a prior set of surface marker locations predicted according to the one or more parameters and parametric representations generated from the prior set using kinematic constraints associated with the body.

Abstract: A transaction card construction and computer-implemented methods for a transaction card are described. The transaction card has vector-formatted visible information applied by a laser machining system. In some embodiments, systems and methods are disclosed for enabling the sourcing of visible information using a scalable vector format The systems and methods may receive a request to add visible information to a transaction card and capture an image of the visible information. The systems and methods may capture data representing the image. The systems and methods may also determine an ambient color saturation of the image. Further, systems and methods may translate the image based on the ambient color saturation of the image. The systems and methods may also map the translated image to a bounding box and convert the mapped image into vector format. In addition, the systems and methods may provide the converted image to a laser machining system.

Abstract: A dataset is received that is for processing by a machine learning model. A scoring payload for the dataset and that regards the machine learning model is also received. A set of features of the machine learning model is determined by analyzing the scoring payload. The scoring payload is structured in accordance with the set of features such that the structured scoring payload is ready for analysis for a monitor of the machine learning model.

Abstract: A system for generating object state distributions receives an image set and generates a set of object type classifications. The set of object type classifications includes an object type classification for one or more objects represented in the image set. The set of object type classifications is generated by utilizing the image set as input to one or more object detection modules. The system generates an object state vector for each object type classification of the set of object type classifications. The object state vector(s) is/are generated by utilizing (i) the set of object type classifications and (ii) a set of image information based on the image set as input to one or more object state description modules. The system defines an object state distribution based on collections of the object state vectors.

Abstract: A method is presented. The method includes determining a number of landmarks in an image comprising multiple pixels. The method also includes determining a number of channels for the image based on a function of the number of landmarks. The method further includes determining, for each one of the number of channels, a confidence of each pixel of the multiple pixels corresponding to a landmark. The method still further includes identifying the landmark in the image based on the confidence.

Abstract: Systems and methods are disclosed and an example system includes a digital image receiver for receiving a digital image, and an automatic obscuration processor coupled to the image receiver and configured to determine whether the digital image includes a region that classifies as an image of a category of object and, upon a positive determination, to obscure the region and output a corresponding obscured-region digital image.

Abstract: The present disclosure relates to methods and systems for data visualization. The systems may perform the methods to obtain a video having a plurality of frames including a plurality of objects; identify a target object from the plurality of objects according to the plurality of frames; determine one or more track points of the target object, each of the one or more track points being corresponding to the target object in one of the plurality of frames; determine a first track of the target object based on the track points, the first track including at least one of the one or more track points of the target object; determine a second track of the target object based on the first track, the second track including at least one of the track points of the first track; generate a video analysis result by analyzing the second track; and visualize the video analysis result.

Abstract: A neural network, trained on a plurality of random size data samples, can receive a plurality of inference data samples including samples of different sizes. The neural network can generate feature maps of the plurality of inference data samples. Pooling can be utilized to generate feature maps having a fixed size. The fixed size feature maps can be utilized to generate an indication of a class for each of the plurality of inference data samples.

Abstract: A transaction card construction and computer-implemented methods for a transaction card are described. The transaction card has vector-formatted visible information applied by a laser machining system. In some embodiments, systems and methods are disclosed for enabling the sourcing of visible information using a scalable vector format The systems and methods may receive a request to add visible information to a transaction card and capture an image of the visible information. The systems and methods may capture data representing the image. The systems and methods may also determine an ambient color saturation of the image. Further, systems and methods may translate the image based on the ambient color saturation of the image. The systems and methods may also map the translated image to a bounding box and convert the mapped image into vector format. In addition, the systems and methods may provide the converted image to a laser machining system.

Abstract: A method is provided for inter-coding video in which transmission bandwidth requirements associated with second motion vectors for bi-directional temporal prediction is reduced. In the method, vector information for one of motion vectors for multi-directional temporal prediction can be transmitted together with information on how to derive or construct the second motion vectors. Thus, rather than sending express information regarding each of the plurality of motion vectors, express information related to only one motion vector along with information related to reconstruction/derivation of the second motion vectors is transmitted, thus reducing bandwidth requirements and increasing coding efficiency.

Abstract: According to one aspect of an embodiment a learning apparatus includes a generating unit that generates a model. The model includes an encoder that encodes input information. The model includes a vector generating unit that generates a vector by applying a predetermined matrix to the information encoded by the encoder. The model includes a decoder that generates information corresponding to the information from the vector. The learning apparatus includes a learning unit that, when predetermined input information is input to the model, learns the model such that the model outputs output information corresponding to the input information and the predetermined matrix serves as a dictionary matrix of the input information.

Abstract: An image device utilizing non-planar projection images to generate a depth map includes two image capturers and a depth engine. The two image capturers are used for generating two non-planar projection images, wherein when each non-planar projection image of the two non-planar projection images is projected to a space corresponding to an image capturer corresponding to the each non-planar projection image, projection positions of each row of pixels of the each non-planar projection image in the space and optical centers of the two image capturers share a plane. The depth engine is used for generating a depth map according to the two non-planar projection images.

Abstract: A camera system and method are disclosed. The camera includes a memory, a camera, and a processor. The memory stores an adaptively subsampled look-up table. The adaptively subsampled look-up includes varying levels of subsampling across the adaptively subsampled look-up table. The camera captures an image, and the captured image is distorted based on varying distortions within an optical system of the camera. The processor receives the captured image from the camera, corrects the distorted captured image based on the adaptively subsampled look-up table to create a correct image, provides the corrected image, and executes a safety feature based on the corrected image.

Abstract: There is provided an information processing apparatus capable of improving an identification accuracy for a user. The information processing apparatus according to the present technology includes a control unit. The control unit causes, when a user is unable to be identified by identification in a feature quantity space based on a registered feature quantity and an acquired feature quantity of the user, the acquired feature quantity of the user to be stored in a storage unit as an unidentifiable feature quantity, sets an additional registration feature quantity on the basis of a distribution of unidentifiable feature quantities in the feature quantity space, specifies a user corresponding to the additional registration feature quantity, and additionally registers the additional registration feature quantity as a feature quantity of the specified user.

Abstract: Provided are a matching method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: obtaining a to-be-matched image; extracting at least one to-be-matched feature point from the to-be-matched image; for one of at least one reference image, performing matching between the at least one to-be-matched feature point and at least one reference feature point extracted from the reference image to obtain a distance set corresponding to the reference image, the distance set corresponding to the reference image being a distance set composed of distances between the at least one to-be-matched feature point and the at least one reference feature point, the one reference image including an image of a standard sample, and different reference images including different standard samples; and determining, based on the distance set corresponding to each reference image, whether the to-be-matched image matches each reference image.

Abstract: This disclosure relates generally to a method and system for biometric verification. Conventional biometric verification method and system performs one or more computations in non-encrypted domain, thereby leading to security threats. The disclosed method includes performing computations such as enrollment and verification feature vector computation, dimensionality reduction of said feature vectors, and comparison of dimensionally reduced encrypted feature vectors to obtain matching scores indicating the extent of match therebetween between in encrypted domain using fully homomorphic encryption, thereby leading to secure biometric verification.

Abstract: The present invention describes devices and methods for assisting in the education of individuals, particularly the education of children. The present invention brings provides technological interventions with information about the child's eye-gaze location, gesture activity, emotional expression or other inputs. The disclosure further seeks to enhance learning by mimicking, for example, the parent's output of activities of physical gesture and of directed eye gaze or joint attention to enhance the child's learning experience. The present invention includes responds to input, either from the user, other indivduals, or information stored in memory. The present invention then processes, via a processor and associated memory, the inputs according to one or more computer program modules. Based on the input and computer program module(s), the present invention then processes an output, of various forms, to the user.

Abstract: According to aspects of the disclosed subject matter, a taste graph comprising likely content collection nodes with corresponding likely digital content items is generated through one or more analyses of a corpus of content collections that is maintained by the online content service. As should be understood, this corpus of content collections is comprised of a plurality of curated content collections, with each content collection comprising a plurality of digital content items. With this taste graph available, as a user generates (or in response to a user generating) a content collection of digital content items, reference can be made to the taste graph to identify one or more digital content items that may be added to the content collection, where the one or more digital content items have a probabilistic likelihood of being complimentary and/or compatible with the other digital content items of the content collection.

Abstract: Provided is a method of measuring quality of a video call between a transmitting terminal including processing circuitry and a receiving terminal, the method including processing, by the processing circuitry, original frames included in an original video based on a video call service; replacing, by the processing circuitry, real-time video frames acquired from a camera for a video call with a receiving terminal with at least a portion of the original frames; and transmitting, by the processing circuitry, the portion of the original frames to the receiving terminal as frames for the video call with the receiving terminal through the video call service.

Abstract: Systems and methods for determining similarity between sets of objects are disclosed. A set of hashes are generated for a set of objects. A similarity vector is generated for the set of hashes. The similarity vector is a compact representation of the set of hashes and of the corresponding set of objects. The similarity of the set of objects is determined by comparing the similarity vector of the set of objects with other similarity vectors. In a data protection system, the set of objects can be placed with the node or system that stores objects that are most similar to the set of objects being placed.

Abstract: Data is received that encapsulates a model of a solid object. The model includes a set of boundary surfaces that are approximately parallel to a medial surface of the solid object. Thereafter, a tetrahedral mesh is generated to represent an interior of the solid object with tetrahedral elements having nodes located on the boundary surfaces. Cuttings are generated for each tetrahedral element based on the nodes. These generated cuttings are used to construct a representation of the medial surface of the solid object. Related apparatus, systems, techniques and articles are also described.

Abstract: A method for producing a textural image from event information generated by an event camera comprises: accumulating event information from a plurality of events occurring during successive event cycles across a field of view of the event camera, each event indicating an x,y location within the field of view, a polarity for a change of detected light intensity incident at the x,y location and an event cycle at which the event occurred; in response to selected event cycles, analysing event information for one or more preceding event cycles to identify one or more regions of interest bounding a respective object to be tracked; and responsive to a threshold event criterion for a region of interest being met, generating a textural image for the region of interest from event information accumulated from within the region of interest.

Abstract: The present invention relates to a method and a device for determining a duplicate video, wherein the method comprises: acquiring multiple types of video features of a query video; according to the multiple types of video features of the query video, sequentially comparing a plurality of existing videos respectively to obtain a sequence comparison result; performing a first ranking on the plurality of existing videos according to the sequence comparison result, and taking first n existing videos as first candidate videos according to a result of the first ranking, where n is a positive integer; and determining a duplication level of the query video according to the sequence comparison result of the first candidate videos.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automatic event recognition and photo clustering. In one aspect, methods include receiving, from a first user, first image data corresponding to a first image, receiving, from a second user, second image data corresponding to a second image, comparing the first image data and the second image data, and determining that the first image and the second image correspond to a coincident event based on the comparing.

Abstract: Described herein is a system and techniques for classification of subjects within image information. In some embodiments, a set of subjects may be identified within image data obtained at two different points in time. For each of the subjects in the set of subjects, facial landmark relationships may be assessed at the two different points in time to determine a difference in facial expression. That difference may be compared to a threshold value. Additionally, contours of each of the subjects in the set of subjects may be assessed at the two different points in time to determine a difference in body position. That difference may be compared to a different threshold value. Each of the subjects in the set of subjects may then be classified based on the comparison between the differences and the threshold values.

Abstract: Posture information corresponding to a line of an input image is calculated. Then, a first virtual line, which is a line in a line direction of the input image for which the posture information calculated is common, is rotated according to the posture information to obtain a second virtual line on the output image. For each pixel of the output image, a corresponding second virtual line is calculated, and posture information is obtained on the basis of the corresponding second virtual line. Then, for coordinates of each pixel of the output image, the reference coordinates on the input image corresponding to the pixel coordinates is calculated using the associated posture information. By cutting out the output image from the input image on the basis of the reference pixel, highly accurate distortion correction can be realized even in a case where the camera posture differs depending on the line.

Abstract: Methods and systems classify content using scoring for identifying psychological factors employed by consumers to take action. An interface module obtains content including one or more elements. One or more feature vectors are extracted from the content. The one or more feature vectors include a feature vector that identifies an element of the one or more elements of the content. A classification scoring module generates one or more classification vectors from the one or more feature vectors. The one or more classification vectors include a classification vector that identifies one or more characteristics of the element from the content. The one or more classification vectors are combined and one or more characteristics of the content are identified to form an aggregated vector. A goal of the content is detected by generating a string that describes the content from the aggregated vector. The goal is presented with the content.

Abstract: A method for producing a textural image from event information generated by an event camera comprises: accumulating event information from a plurality of events occurring during successive event cycles across a field of view of the event camera, each event indicating an x,y location within the field of view, a polarity for a change of detected light intensity incident at the x,y location and an event cycle at which the event occurred; in response to selected event cycles, analysing event information for one or more preceding event cycles to identify one or more regions of interest bounding a respective object to be tracked; and responsive to a threshold event criterion for a region of interest being met, generating a textural image for the region of interest from event information accumulated from within the region of interest.

Abstract: One embodiment of a disclosed system, method, and computer readable storage medium which includes an algorithm for generating a vector graphic based on a raster graphic input. A tablet scribe system identifies a boundary of a raster graphic image. The boundary is comprised of contrasting pixels in the raster graphic. The system determines a slope for each line segment of the raster graphic boundary. Based on a comparison of the slope for the adjacent line segments, the system generates a contour replaces line segments with equivalent slopes wherein each line segments represents a point on the contour. The system condenses the contour by removing redundant points on the contour based on their position relative to neighboring points and converts the edges of one or more remaining line segments into continuous curves on the contour.

Abstract: Various embodiments of the invention pertain to an augmented reality interface for facilitating identification of an arriving vehicle and/or a passenger that improve upon some or all of the above-described deficiencies. According to some embodiments of the invention, a mobile device may be used by a passenger to scan scenery. The mobile device may determine whether and where a requested vehicle is located and display an indicator of the requested vehicle on the mobile device. Similarly, a mobile device may be used by a driver to scan scenery. The mobile device may determine whether and where a passenger is located and display an indicator of the requesting passenger on the mobile device.

Abstract: A computing system and method for identifying related visual content of a collection of visual media files comprising one or more image files and video files includes monitoring inputs to the computing system, the inputs associated with a user interaction with electronic content using the computer system, identifying a visual media file in the collection of visual media files relevant to the electronic content based on a semantic label assigned to the visual media file by the computing system, creating a representative image of the identified visual media file, and displaying the representative image for selection. The computing system enables a selection of the displayed representative image for association of the identified visual media file with the electronic content.

Abstract: A method and an apparatus for facial age identification, an electronic device, and a computer readable medium include: obtaining estimated facial age of a person in an image to be identified; selecting N image samples from an image sample set of known age according to the estimated facial age and age of two or more preset age gaps with the estimated facial age, the N being not less than 2; obtaining a comparison result of ages between the image to be identified and the selected N image samples; and obtaining probability information for determining a person's facial age attribute information according to statistical information formed by the comparison result.

Abstract: A hardware system is configured for, and a method of, generating detail-rich gradient-based disparity maps in real-time using an automated gradient-based disparity map classification process that is scalable, can be used under different environment conditions with little to no restrictions, and whose level of precision can be adjusted in a scalable manner. Highly accurate cross-spectral stereo matching methods may be used for search and rescue operations and work at day time and night time using current and past visual and full infrared imaging to generate, classify, and identify scenes in real-time with minimum constraints. Such system and methods may be used to improve operations of existing search and rescue equipment.

Abstract: A method is provided for inter-coding video in which transmission bandwidth requirements associated with second motion vectors for bi-directional temporal prediction is reduced. In the method, vector information for one of motion vectors for multi-directional temporal prediction can be transmitted together with information on how to derive or construct the second motion vectors. Thus, rather than sending express information regarding each of the plurality of motion vectors, express information related to only one motion vector along with information related to reconstruction/derivation of the second motion vectors is transmitted, thus reducing bandwidth requirements and increasing coding efficiency.

Abstract: An applied state of a cosmetic material on skin is easily and accurately evaluated. A principal component analysis unit 4 performs principal component analysis on a spectral reflectance measured from a spectral image and calculates eigenvectors of first to third principal components and principal component scores of the first to third principal components based on the eigenvectors of the first to third principal components, and a skin evaluation unit 5 evaluates an applied state of a cosmetic material on skin using at least one of the calculated principal component scores of the first to third principal components and a preset threshold value or a discriminant function of each principal component.

Abstract: The application provides a character correction method and apparatus, a device, and a storage medium, where the method including: obtaining position information of a click operation of a user on a terminal screen, and obtaining feature information of the click operation; determining distance information between the position information and each key on the terminal screen; determining transition probability information from a character indicated by a history click operation to a character corresponding to each key; determining a character prediction result according to the feature information, the distance information and the transition probability information, where the character prediction result comprises a probability score that the character indicated by the click operation belongs to the character corresponding to each key; and determining the character with a highest probability score as a correction character corresponding to the click operation.

Abstract: A method of adjusting video image data to reduce photosensitive epilepsy (“PSE”) triggers, the method including evaluating a sequence of video images to determine if the number of changes in brightness exceeding a predetermined threshold between contiguous images is greater than a predetermined value over a predetermined time or predetermined number of video images; and if the determined number exceeds the predetermined value then applying a correction procedure to the sequence of images. The correction procedure includes: for each image, applying a plurality of candidate brightness changes to the image and subsequently determining which of the applied changes result in the number of changes in brightness between contiguous images exceeding the predetermined threshold being reduced to below the predetermined value; and selecting the determined applied change having the smallest brightness change.

Abstract: In order to compare high-dimensional, multi-modal data for a patient to data for other patients, deep learning is used to encode original, multi-modal data for a patient into a compact signature. The compact signature is compared to predetermined compact signatures generated for other patients, and similar predetermined compact signatures are identified based on the comparison. A clinical outcome may be predicted based on the similar predetermined compact signatures that are identified.

Abstract: A facial image generating method, a facial image generating apparatus, and a facial image generating device are proposed. The method comprises: linking an M-dimensional facial feature vector with an N-dimensional demanded feature vector to generate a synthesized feature vector; and generating a synthesized facial image by use of a deep convolutional network for facial image generation and based on the synthesized feature vector. The method further comprises: generating a demand satisfaction score based on the synthesized facial image and the demanded feature vector by use of a deep convolutional network for demand determination; and updating parameters of the deep convolutional network for facial image generation and the deep convolutional network for demand determination based on the demand satisfaction score. A facial image is generated based on a facial feature vector and a demanded feature vector, a facial image with a specific feature can be generated without using the three-dimensional model.

Abstract: An image processing apparatus, an image processing method, and a program, provide accurate collation even when an image contains a number of identical or similar subjects. The image processing apparatus generates, with respect to feature points to be detected from a first image, a first local feature amount group including local feature amounts representing feature amounts of local regions containing the respective feature points, and a first coordinate position information group including coordinate position information. The image processing apparatus clusters the feature points of the first image based on the first coordinate position information group. The image processing apparatus collates, in units of clusters, the first local feature amount group with a second local feature amount group formed from local feature amounts of feature points detected from a second image.

Abstract: A system and method for receiving a medical image, receiving an adaptation of a model of a physical structure, the adaptation relating to the medical image, determining an image quantity of the medical image at each of a plurality of vertices of the adaptation and aggregating the plurality of image quantities to determine an evaluation metric.

Abstract: A method for processing a sequence of frames includes receiving a sequence of frames and multiple action proposals for the sequence of frames. The method also includes generating a representation of the sequence of frames and pooling the representation around each of the action proposals. The method further includes classifying the action proposals based on the pooled representations and controlling a device based on the classifying.

Abstract: Provided is an image processing apparatus including an acquisition unit configured to acquire a multi-valued image and a binarization unit configured to generate a binary image obtained by binarizing the multi-valued image, and the stated image processing apparatus is configured such that the binarization unit detects a closed region within the multi-valued image, and binarizes the inside of the closed region based on luminance inside the closed region and luminance around the closed region.

Abstract: According to one embodiment, an electronic apparatus performs a character recognition process, uses, if a stroke in a first area of the first handwritten document and a stroke in a second area are the same, a character recognition result of the first handwritten document, and performs, if a stroke in the first area and a stroke in the second area are different, the character recognition process for the second area including the different stroke.

Abstract: Techniques are provided in which a plurality of edges are detected within a digital image. An anchor point located along an edge of the plurality of edges is selected. An analysis grid associated with the anchor point is generated, the analysis grid including a plurality of cells. An anchor point normal vector comprising a normal vector of the edge at the anchor point is calculated. Edge pixel normal vectors comprising normal vectors of the edge at locations along the edge within the cells of the analysis grid are calculated. A histogram of similarity is generated for each of one or more cells of the analysis grid, each histogram of similarity being based on a similarity measure between each of the edge pixel normal vectors within a cell and the anchor point normal vector, and a descriptor is generated for the analysis grid based on the histograms of similarity.

Abstract: A method for screenshot and related products are provided, which are applicable to an electronic device. The method for screenshot includes the following. A preset interface is displayed in a special-shaped region and a regular-shaped region of a special-shaped screen, and a first screenshot of the preset interface in a first screen status is obtained. A second screenshot is obtained by inversing the preset interface and performing a screenshot on the preset interface inversed. A synthesized screenshot is obtained by synthesizing the first screenshot and the second screenshot, where the synthesized screenshot is a complete screenshot.

Abstract: The present application relates to a computer implemented method of identifying a channel between at least two objects from image data comprising a plurality of pixels or voxels. The method comprises a cycle comprising the steps of choosing a portion of the image data which contains image data of at least a part of at least two of the objects, calculating image gradients of the pixels or voxels of the portion of the image data, and analyzing an orientation of the image gradients. If at least two of the image gradients point into opposing directions, the chosen portion of the image data is determined to contain edges of the objects defining the channel. This method can subsequently be used to separate or segment the objects or parts of the objects defining the channel.

Abstract: Provided is an image processing apparatus, an image processing method, and a program, which are capable of accurate collation even when an image contains a number of identical or similar subjects. The image processing apparatus of the present invention has: first feature amount generating means for generating, with respect to a plurality of feature points to be detected from a first image, a first local feature amount group including local feature amounts representing feature amounts of a plurality of local regions containing the respective feature points, and a first coordinate position information group including coordinate position information; region dividing means for clustering the feature points of the first image based on the first coordinate position information group; and collation means for collating, in units of clusters, the first local feature amount group with a second local feature amount group formed from local feature amounts of feature points detected from a second image.

Abstract: The present invention relates to a pedestrian recognition apparatus. A pedestrian recognition apparatus may comprises: an image receiving unit configured to sequentially receive a plurality of images from a camera; and a pedestrian determination unit configured to perform a pedestrian candidate object detection process of detecting a pedestrian candidate object from one or more objects in the images, a mobility determination process of determining whether the pedestrian candidate object is moving, using the plurality of images, and setting the pedestrian candidate object to a moving pedestrian candidate object, and a pedestrian possibility determination process of performing a predefined operation on the moving pedestrian candidate object, and setting the moving pedestrian candidate object to a pedestrian when a value calculated through the predefined operation is equal to or more than a threshold value.

Abstract: The invention provides a skin aging state assessment method and an electronic device. The method includes: acquiring a first image and a second image; acquiring a characteristic parameter of the first image and a characteristic parameter of the second image; acquiring an aging parameter according to the characteristic parameter of the first image and the characteristic parameter of the second image; and deciding an aging assessment result corresponding to the first image according to the aging parameter. The skin state detection method of the invention makes it possible to use two face images captured at different times to acquire the skin aging condition of the face images.