Abstract: Provided are a method for processing multimodal images, an apparatus, a device and a storage medium. Multiple types of vision sensors are disposed in first preset identity recognition scenario.

Abstract: Disguised Face Identification (DFI) system and method for identifying multiple individuals with disguised faces in uncontrolled environments/scenarios is provided. The Disguised Face Identification (DFI) system and method includes detecting facial landmarks/facial key-points and performing face identification using the ScatterNet Hybrid Deep Learning (SHDL) Network. The system also can be evolved, after deployment, by the user as it provides one with an ability to add new faces to a known face database which are identified by the system thereafter. Further includes two facial disguise (FG) datasets, the datasets are simple facial disguise (FG) datasets and complex facial disguise (FG) datasets for training the deep convolutional networks.

Abstract: A system and method for image recognition registration of an athlete into a sporting event. The athlete is registered in the sporting event using image recognition technology. A digital commencement image of the athlete taken by a camera (106) as the athlete crosses a starting line. The digital commencement image is compared with a stored profile image of the athlete to identify the athlete and enter them into the event without the need for the athlete to pre-register for the particular event. Enhanced recognition techniques incorporating pattern recognition may be used to increase identity accuracy.

Abstract: Systems and methods for facilitating virtual operation of a virtual vehicle within a virtual environment are disclosed. According to aspects, a computing device may access a data model indicative of real-life operation of a real-life vehicle by a real-life operator and, based on the data model, generate a set of virtual vehicle movements that are reflective of a performance of the real-life operation of the real-life vehicle by the real-life operator. The computing device may display, in a user interface, the virtual vehicle undertaking the set of virtual vehicle movements such that the real-life operator may review the virtual movements and potentially be motivated to improve his/her real-life vehicle operation.

Abstract: An embodiment of the disclosure discloses an electronic device including at least one camera module to capture an image based on a specified angle of view, a display to display the image, a processor electrically connected with the camera module and the display. The processor detects a plurality of objects in the image, and performs setting of image data associated with at least one object of the plurality of objects such that a region, which corresponds to the at least one object, in a screen region of the display has a specified light transmittance value. Moreover, various embodiment found through the disclosure are possible.

Abstract: A posting right giving device acquires, from a terminal device, a photographed image to which positional information indicating a photographing position of the image is added. The device acquires position history information indicating a history of positions of the terminal device. The device acquires, from a storage, region information indicating a region designated in advance for a community where information can be posted and posted information can be received via a network. The device executes, on the basis of determination that the photographing position indicated by the positional information added to the acquired image is included in the region indicated by the acquired region information and the photographing position corresponds to a position of the terminal device identified on the basis of the acquired position history information, processing forgiving a user of the terminal device a right to post information to the community.

Abstract: Introduced here are technologies for examining an image of an airline passenger, while the passenger is onboard. The image may be examined for abnormalities, the passenger's mood, and/or the passenger's expression. The image analysis may be supplemented by data from a suite of sensors such as heart rate monitors, accelerometers, gyroscopes, and the like. The image and the sensor data are then analyzed to detect abnormalities, identify related recommendations, and suggest products and services offered onboard or at the destination that are related to the abnormalities and recommendations. The general purpose is to improve an airline passenger's travel experience while on board the flight.

Abstract: The disclosure provides a method for generating a three-dimensional virtual image. The method includes: obtaining a face image to be processed and a three-dimensional reference model; obtaining a three-dimensional face model, face attribute information and face image information by inputting the face image to be processed into a trained neural network; obtaining a three-dimensional image model by performing a deformation process on the three-dimensional reference model based on the three-dimensional face model; and obtaining a target virtual image by adjusting the three-dimensional image model based on the face attribute information and the face image information.

Abstract: Methods, systems, and techniques for enhancing a VMS are disclosed. One of the disclosed methods includes populating a user interface page with one or more images, each showing a single person matched to a known identity, and each taken contemporaneously with one or more respective access control event occurrences identifiable to the single person. User selection input is receivable to mark at least one of the images as a reference image for an appearance search to find additional images of the single person captured by video cameras within a surveillance system.

Abstract: A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.

Abstract: One or more embodiments of the disclosure provide systems and methods for providing media presentations to users of a media presentation system. A media presentation generally includes a plurality of media segments provided by multiple users of the media presentation system. In one or more embodiments, a user of the media presentation system may share a media presentation with a co-user. The media presentation system can provide a number of features to assist a user in sharing, filtering, and accessing media presentations.

Abstract: A vehicular driver monitoring system includes a camera disposed within a vehicle and having a field of view interior of the vehicle, and an adjustable mirror disposed within the vehicle. The adjustable mirror includes a mirror reflector that reflects light incident thereat. The camera views the adjustable mirror and captures image data based on light reflected by the mirror reflector of the adjustable mirror toward the camera. With a driver of the vehicle sitting in a driver seat of the vehicle, light reflected off a portion of the driver is reflected by the mirror reflector of the adjustable mirror toward the camera. An electronic control unit (ECU), responsive to processing by an image processor of image data captured by the camera, adjusts the adjustable mirror to reflect the portion of the driver toward a region of the lens of the camera.

Abstract: The album creation application of the present disclosure displays image data, to which trimming is performed, and a template, which includes a slot in which the image data is arranged, so that a slot and image data to be arranged in the slot are selected by use of an input device. Position information of a point of interest in the image to be arranged in the slot is obtained. Composition patterns applicable to the image with designation of the point of interest are presented to the user, and the composition pattern to be applied, which is selected by the user from among the presented composition patterns, is obtained. Trimming is performed based on the point of interest and the selected composition pattern selected. The trimmed images are listed, so that multiple trimmed images are presented to the user as trimming proposals.

Abstract: Embodiments of the present disclosure enable and accurate detection of facial landmarks on mobile devices in real-time. An architecture of a facial landmark detection model is provided including one or more of an attention mechanism (e.g., an attention network), a graph convolution model (e.g., a two-dimensional facial geometry graph convolution model), a multiscale coarse-to-fine mechanism, a patch-facial landmark detachment mechanism, and error estimation techniques. The attention mechanism may increase the accuracy of the facial landmark detection model by attending to meaningful patches. The graph convolution network may improve patch feature aggregation by considering the facial landmarks' geometry. The coarse-to-fine mechanism reduces a network convergence to two cycles (e.g., two facial landmark detection iterations). A patch-facial landmark detachment mechanism reduces the computation burden without significant accuracy degradation.

Abstract: Determining occupants' interactions in a space by applying a computer vision algorithm to track an occupant in a set of images of a space to obtain locations in the space of the occupant over time, where a history log of the occupant includes the locations of the occupant in the space over time is created and history logs of a plurality of occupants are compared to extract interaction points between the plurality of occupants.

Abstract: The disclosure discloses a cartoonlization processing method for an image, and relates to a field of computational vision, image processing, face recognition, deep learning technologies. The method includes: performing skin color recognition on a facial image to be processed to determine a target skin color of a face in the facial image; processing the facial image by utilizing any cartoonizing model in a cartoonizing model set to obtain a reference cartoonized image corresponding to the facial image in a case that the cartoonizing model set does not contain a cartoonizing model corresponding to the target skin color; determining a pixel adjustment parameter based on the target skin color and a reference skin color corresponding to the any cartoonizing model; and adjusting a pixel value of each pixel point in the reference cartoonized image based on the pixel adjustment parameter, to obtain a target cartoonized image corresponding to the facial image.

Abstract: Some embodiments provide a method that predicts data items from a real-world object in real-time. The method captures a video comprising a plurality of frames. The method further performs object detection on a frame in the plurality of frames to determine that the frame includes an object. The method also processes the frame using a plurality of models, wherein each model in the plurality of models is configured to predict a set of candidate data items associated with the object. The method selects one or more candidate data items from the sets of candidate data items associated with the object as a set of data items. The method populates a record with the set of data items.

Abstract: In one embodiment, one or more computing systems may receive an image of a portion of a face of a first user. The one or more computing systems may access a three-dimensional (3D) facial model representative of the face of the first user. The one or more computing systems may identify one or more facial features captured in the image and determine a camera pose relative to the 3D facial model based on the identified one or more facial features in the image and predetermined feature locations on the 3D facial model. The one or more computing systems may determine a mapping relationship between the image and the 3D facial model by projecting the image of the portion of the face of the first user onto the 3D facial model from the camera pose and cause an output image of a facial representation of the first user to be rendered.

Abstract: A system includes: a light source that emits pulsed light that illuminates a user's head portion; a photodetector that detects at least part of pulsed light returning from the head portion and that outputs one or more signals corresponding to an intensity of the at least part; electrical circuitry; and a memory that stores an emotion model indicating a relationship between the one or more signals and emotions. Based on a change in the one or more signals, the electrical circuitry selects an emotion by referring to the model. The one or more signals include a first signal corresponding to an intensity of first part of the reflection pulsed light and a second signal corresponding to an intensity of second part of the reflection pulsed light. The first part includes part before a falling period is started; and the second part includes at least part in the falling period.

Abstract: Facial scanning data of an authorized user is received for requested access to a computing device. A facial expression of the facial scanning data is determined to match a predetermined facial expression. In response to identifying that the facial expression matches the predetermined facial expression, the computing device is caused to provide a set of functionality that correlates to the predetermined facial expression.

Abstract: A method and an apparatus for recognizing an object are disclosed. The apparatus may extract a plurality of features from an input image using a single recognition model and recognize an object in the input image based on the extracted features. The single recognition model may include at least one compression layer configured to compress input information and at least one decompression layer configured to decompress the compressed information to determine the features.

Abstract: The present disclosure provides systems and methods for managing meeting notes. In accordance with some embodiments, a method is provided that includes receiving nonverbal cue information associated with one or more meeting participants, determining an engagement level for each of the one or more meeting participants based on emotional information associated with the nonverbal cue information, composing meeting notes based on the determined engagement level for each of the one or more meeting participants, and storing the meeting notes.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for semi-supervised training of an object recognition model. The methods, systems, and apparatus include a monitoring system including a camera located at a property and configured to generate images and one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform actions of determining a cluster of images meets a threshold for number of included images and a threshold for cluster tightness. A representative image of the cluster is selected and a query including the representative image of the cluster is provided. User feedback responsive to the query is received and an object recognition model is updated based on the user feedback.

Abstract: Disclosed is a system and method for virtual demonstration of a product. Herein, a game engine is implemented to provide a virtual environment with a model of the product. Further, a library of predefined story blocks related to the model of the product is provided. A session for virtual demonstration of the product is initiated by a master server over a network, with at least one server acting as a host server associated with a host user and one or more of other servers acting as one or more client servers with each of the one or more client servers being associated with a client user. The host server is configured to allow the host user to define a timeline with one or more story blocks. The one or more client servers are configured to present the defined timeline for viewing of the one or more client users associated therewith.

Abstract: A system and method of face recognition comprising multiple phases implemented in a parallel architecture. The first phase is a normalization phase whereby a captured image is normalized to the same size, orientation, and illumination of stored images in a preexisting database. The second phase is a feature extraction/distance matrix phase where a distance matrix is generated for the captured image. In a coarse recognition phase, the generated distance matrix is compared with distance matrices in the database using Euclidean distance matches to create candidate lists, and in a detailed recognition phase, multiple face recognition algorithms are applied to the candidate lists to produce a final result. The distance matrices in the normalized database may be broken into parallel lists for parallelization in the feature extraction/distance matrix phase, and the candidate lists may also be grouped according to a dissimilarity algorithm for parallel processing in the detailed recognition phase.

Abstract: A facial recognition method using online sparse learning includes initializing target position and scale, extracting positive and negative samples, and extracting high-dimensional Haar-like features. A sparse coding function can be used to determine sparse Haar-like features and form a sparse feature matrix, and the sparse feature matrix in turn is used to classify targets.

Abstract: An attribute recognition system has a person face detection circuitry to detect a suitable person or face for recognition of at least one attribute from persons or faces captured in frame images input from at least one camera to capture a given capture area, an identification information assignment circuitry to identify the persons or faces captured in the frame images having been subjected to the detection by the person face detection circuitry so as to assign an identification information to each identified person or face, and an attribute recognition circuitry to recognize the attribute of a person or face assigned with the identification information, only if the person or face is yet without being subjected to recognition of the attribute, and at the same time if the person or face has been detected by the person face detection circuitry as a suitable person or face for the recognition of the attribute.

Abstract: A semi-supervised model incorporates deep feature learning and pseudo label estimation into a unified framework. The deep feature learning can include multiple convolutional neural networks (CNNs). The CNNs can be trained on available training datasets, tuned using a small amount of labeled training samples, and stored as the original models. Features are then extracted for unlabeled training samples by utilizing the original models. Multi-view clustering is used to cluster features to generate pseudo labels. Then the original models are tuned by using an updated training set that includes labeled training samples and unlabeled training samples with pseudo labels. Iterations of multi-view clustering and tuning using an updated training set can continue until the updated training set is stable.

Abstract: Disclosed is a mobile robot. The mobile robot may include a body and a controller. The mobile robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and may perform communication with other electronic devices in a 5G communication environment. Accordingly, user convenience can be significantly improved.

Abstract: To enables you to take animations in a virtual space, an animation production system comprising: a virtual camera that shoots a character placed in a virtual space; a user input detection unit that detects an input of a user from at least one of a head mounted display and a controller which the user mounts; a character control unit that controls an action of the character in response to the input; and a preset storage unit that stores an expression of the character, wherein the character control unit sets the expression corresponding to the input that does not affect the action of the character to the character.

Abstract: A camera takes an image of a user. A room environment information sensor detects room environment information about an environment in a room where the user is present. An estimation unit estimates a concentration degree of the user based on the image of the user taken by the camera and the room environment information sensed by the room environment information sensor.

Abstract: An image processing system comprises a template matching engine (TME). The TME reads an image from the memory; and as each pixel of the image is being read, calculates a respective feature value of a plurality of feature maps as a function of the pixel value. A pre-filter is responsive to a current pixel location comprising a node within a limited detector cascade to be applied to a window within the image to: compare a feature value from a selected one of the plurality of feature maps corresponding to the pixel location to a threshold value; and responsive to pixels for all nodes within a limited detector cascade to be applied to the window having been read, determine a score for the window. A classifier, responsive to the pre-filter indicating that a score for a window is below a window threshold, does not apply a longer detector cascade to the window before indicating that the window does not comprise an object to be detected.

Abstract: A managed notification system compares image(s) and/or indicia relating to the image(s) and where there is a match selectively provides a notification of the same.

Abstract: At least two images are acquired. At least two crop images are acquired by cropping the at least two images for face-containing images. Triangular patch deformation is performed on two neighbour images, generating a first triangular patch deformation frame image sequence and a second triangular patch deformation frame image sequence. Similarity transformation is performed on each image sequence of the first triangular patch deformation frame image sequence, acquiring a first transform frame image sequence. Similarity transformation is performed on each image sequence of the second triangular patch deformation frame image sequence, acquiring a second transform frame image sequence. The first and the second transform frame image sequences are fused, acquiring a video frame sequence corresponding to the two neighbour images. Of the at least two images, a video frame sequence generated by all neighbour images is coded, acquiring a destined video.

Abstract: A hierarchical compositional network, representable in Bayesian network form, includes first, second, third, fourth, and fifth parent feature nodes; first, second, and third pool nodes; first, second, and third weight nodes; and first, second, third, fourth, and fifth child feature nodes.

Abstract: An auxiliary filtering device for face recognition is provided. The auxiliary filtering device is used to exclude an ineligible object to be identified according to the relative relationship between object distances and image sizes, the image variation with time and/or the feature difference between images captured by different cameras to prevent the possibility of cracking the face recognition by using a photo or a video.

Abstract: In an approach to augmenting authentication methods using a face covering, one or more computer processors receive an image of a user wearing a face covering, where a portion of the face of the user is visible in the image, and the face covering covers another portion of the face of the user in the image. One or more computer processors detect an identifier operably coupled with the face covering. One or more computer processors determine whether the first portion of the face of the user is associated with the identifier. In response to determining the first portion of the face of the user is not associated with the identifier, one or more computer processors receive an alternate authentication. One or more computer processors authenticate the user.

Abstract: An electronic device and a control method therefor are disclosed. A control method for an electronic device according to the present disclosure comprises the steps of: when a preset event is detected, acquiring a user image by photographing a user; acquiring a facial image including the user's face from the photographed user image and storing the facial image; and when a user input for identification of the facial image is received, providing the stored facial on the basis of at least one of a time and a place.

Abstract: The present invention discloses a privacy masking method using format-preserving encryption in an image security system, and a recording medium for performing the method. In a privacy masking method using format-preserving encryption in an image security system according to an aspect of the present invention, an image corresponding to a privacy region is encrypted using format-preserving encryption, so that it is possible to prevent waste of additional storage space required for encryption and to solve a problem of exposure of personal information.

Abstract: A computer-implemented method, a computer system and a computer program product secure access to a restricted area. The method includes capturing, by a camera, a first image of a face of a first person and a second image of a face of a second person. The method also includes determining whether the face of the first person is included in a database of persons authorized to access the restricted area. The method further includes determining whether the second person is in proximity to the first person. In addition, the method includes determining whether the second person is authorized to access the restricted area. Finally, the method includes transmitting a signal that the second person is authorized to access the restricted area in response to determining that the second person is in proximity to the first person and the second person is authorized to access the restricted area.

Abstract: Disclosed are an intelligence device and a method of selecting a user of the intelligence device. According to an embodiment of the disclosure, the intelligence device may analyze the eye blinks and pupil shapes of persons and select the person gazing at the intelligence device as a user. According to an embodiment, the intelligence device may be related to artificial intelligence (AI) modules, robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

Abstract: In examples, a relative skin reflectance of a captured image of a subject is determined. The determination selects from the captured image pixels of the subject's face and pixels in the background and normalizes luminance values of the skin pixels using the background pixels. The relative skin reflectance value is determined for the captured image, based on the normalized luminance values of the skin pixels. Optionally the relative skin reflectance value is qualified, based on thresholds of skin reflectance values, as suitable for biometric use. Optionally, a non-qualifying captured image is flagged and, optionally, another image is acquired, or the non-conforming image is processed further to transform the image into a suitable image for biometric analysis.

Abstract: An educational system may include a contextualizer that accesses and processes content items and build a knowledge base including educational content and relationships between content items. The system may include a user assessor unit that determines user assessment variables based on user responses to previous educational content items and generate a user model based on the user assessment variables. The system may include a recommender that navigates the knowledge base and generates recommendations of new educational content based on the user model. The recommendation can assess the user's proficiency on a given concept based on the user model and maximize the user's probability of success around the concept of which the user shows proficiency, or improve the user's proficiency around the concept the user shows weakness. In some examples, the system may acquire an expert's knowledge about certain concepts to refine the user model, increasing the accuracy of the recommender.

Abstract: A method and system is described which attempts to address the technical problems involved in analyzing images using advanced computer systems and making decisions about the future of a damaged automobile based on the images.

Abstract: Method and system for generating virtual encounters.

Abstract: Techniques for addressing various technical problems associated with managing medical data are described herein. One or more medical data tracking applications can execute on an electronic medical data tracking system. Such a computer system can include one more computing devices, such as for example a mobile computing device and a central computing system, that can optionally communicate with each other to send and receive information associated with a patient. The mobile computing device can be configured as an employee identification card, and can be configured to detect and identify patients, gestures, medical devices, and medicine associated with medical procedures.

Abstract: An information processing apparatus (1) includes: a presence information acquisition unit (2) that acquires presence information that is generated based on images shot for each of a plurality of predetermined places and indicates a place where a person is present at a point in time of the shooting of the images; and a presence place estimation unit (3) that estimates a place where a specific person is currently present from among the plurality of predetermined places based on the acquired presence information. The presence information includes time information at the point in time of the shooting. The presence place estimation unit (3) estimates the place where the specific person is currently present using a presence probability of the specific person at the predetermined places, the presence probability being calculated based on an amount of time elapsed from the point in time of the shooting.

Abstract: With respect to a subject included in an image, the illuminating condition by an ambient light source in an environment where the image was captured is estimated, and based on the estimation result, the effect of a virtual light source that was non-existent at the time of image capture is computed. More specifically, the effect of the virtual light source is computed using an illumination direction of the virtual light source and the reflective characteristics of the subject illuminated by the virtual light source, which have been determined based on the estimation result, and an image derived from addition of the effect of the virtual light source is output.

Abstract: To improve convenience of a passenger using a paid seat. An image transmission unit transmits a plurality of images generated by a first camera to a passenger information processing device. The passenger information processing device performs person specifying processing using the image. A processing result acquisition unit acquires a processing result by the passenger information processing device. This processing result is obtained by associating person specifying information that specifies a person included in the image with attribute information of the passenger. A getting-on station management unit generates getting-on station information using the person specifying information and the attribute information associated with the person specifying information. A getting-off station management unit generates getting-off station information using the person specifying information and the attribute information associated with the person specifying information.

Abstract: A method includes obtaining a plurality of representative vectors associated with face-related data. The method includes determining an encryption key based on a parameter stored in a record, generating an encrypted vector set by, for each respective vector of the plurality of representative vectors, encrypting the respective vector with a homomorphic encryption operation based on the encryption key, where the encrypted vector set includes a first encrypted vector that is linked to a subset of the face-related data associated with the first plurality of face vectors. The method further includes obtaining an encrypted face search vector using the encryption key to perform homomorphic encryption. The method further includes selecting a first encrypted vector based on the encrypted face search vector and retrieving the subset of the face-related data based on the first encrypted vector.