Abstract: A method and apparatus that derives a curve of a mesh sequence from a frame of a video bitstream, the curve comprising a plurality of vertices; subdivides the curve by adding a plurality of subdivided vertices; calculates one or more displacement vectors between each of the plurality of vertices on the curve and each of the plurality of subdivided vertices on the subdivided curve; transforms the one or more displacement vectors to output one or more original coefficients; tracks the current frame with a previous frame to obtain a one-to-one correspondence between the plurality of vertices of the current frame and a plurality of vertices of the previous frame; predicts one or more coefficients of each of the plurality of vertices in current frame based on the one-to-one correspondence; performs entropy coding on one or more prediction residues; and encodes the one or more prediction residues.

Abstract: In implementations of systems for generating and propagating personal masking edits, a computing device implements a mask system to detect a face of a person depicted in a digital image displayed in a user interface of an application for editing digital content. The mask system determines an identifier for the person based on an identifier for the face. Edit data is received describing properties of an editing operation and a type of mask used to modify a particular portion of the person depicted in the digital image. The mask system edits an additional digital image identified based on the identifier of the person using the type of mask and the properties of the editing operation to modify the particular portion of the person as depicted in the additional digital image.

Abstract: A method and corresponding system for creating an annotated object model of a real world object. The method comprises providing an initial object model for an object for which an annotated object model shall be created, predicting properties of the object, visualizing a representation of the object based on the initial object model wherein the predicted object properties are displayed associated with the representation, and obtaining selection information based on at least one of a user gesture, user pointing operation, user speech input, and user gaze perceived by a user perception device. The method determines a portion of the object corresponding to the selection information, receives property information from a user input and associates the input property information with the corresponding portion of the object.

Abstract: A method for identifying a process includes storing formatted data, generating aggregated traces by preprocessing the formatted data, encoding each of the aggregated traces using a respective atomic word, generating a subset of aggregated traces by compressing the aggregated traces, clustering the subset of aggregated traces, and labeling the clusters. A system includes a processor and a memory including instructions that when executed cause the system to store formatted data, generate traces, encode the traces to an atomic word, generate a subset traces, cluster the subset traces, and label the clusters. A non-transitory computer readable medium containing program instructions that when executed, cause a computer system to store formatted data, generate traces, encode the traces to an atomic word, generate a subset traces, cluster the subset traces, and label the clusters.

Abstract: The image transmission system executes the following five steps. The first step is acquiring a first image by capturing a first person present in a first area by a first camera. The second step is generating a first person silhouette image representing a silhouette of the first person shown in the first image. The third step is projecting or displaying the first person silhouette image on a second object installed in a second area that is different from the first area. The fourth step is determining whether or not the first person performs a first trigger action based on the first image. Fifth step is when the first person performs the first trigger action, projecting or displaying a first person detailed image on the second object, wherein the first person detailed image is closer to a real image of the first person than the first person silhouette image is.

Abstract: A data processing device includes a plurality of cameras arranged according to a predetermined configuration, where each camera is configured to capture successive images and to detect a current location of one or more elements in the captured images with respect to a coordinate system of the camera, a processor to generate a common camera coordinate system in dependence upon the respective coordinate systems of the plurality of cameras, the common camera coordinate system comprising a set of locations in a three-dimensional space included within the field of view of the plurality of cameras, and a detector to detect a current location of a given element with respect to the common camera coordinate system based on images captured by the plurality of cameras, wherein for each camera, the processor is configured, in response to a detection by the detector that the current location of the given element corresponds to a location in the set of locations of the common camera coordinate system, to generate first dat

Abstract: Devices and methods method of tiled rendering are provided which comprises dividing a frame to be rendered, into a plurality of tiles, receiving commands to execute a plurality of subpasses of the tiles, interleaving execution of same subpasses of multiple tiles of the frame by executing one or more subpasses as skip operations, storing visibility data, for subsequently ordered subpasses of the tiles, at memory addresses allocated for data of corresponding adjacent tiles in a first direction of traversal and rendering the tiles for the subsequently ordered subpasses using the visibility data stored at the memory addresses allocated for corresponding adjacent tiles in a second direction of traversal, opposite the first direction of traversal.

Abstract: A display apparatus and a timing controller thereof is disclosed. The timing controller detects a size of an image by using image data, generates first output image data according to the size of the image, and generates second output image data by using the first output image data. The second output image data is generated according to a saturation value of the first output image data.

Abstract: Provided is a method and apparatus for animation rendering, an electronic device, and a storage medium. The method for animation rendering includes: in a vertex animation mode, acquiring vertex position information and normal information from a same first texture file, wherein the vertex position information occupies a part of an R channel, a part of a G channel and a part of a B channel, and the normal information occupies another part of the R channel, another part of the G channel, another part of the B channel, and an A channel; and performing animation rendering according to the vertex position information and the normal information.

Abstract: A method of three-dimensional reconstruction of human heads using a single photo in the form of polygonal mesh, with animation and realistic rendering capabilities for novel head poses is provided. The method includes encoding, by using a first convolutional neural network, a single source image into a neural texture; estimating, by a pre-trained detailed expression capture and animation (DECA) system, a face shape, a facial expression, and a head pose by using the single source image and a target image, and providing an initial mesh; providing a predicted mesh of a head mesh based on the initial mesh and the neural texture; rendering a human image by using the predicted mesh.

Abstract: Techniques are disclosed relating to object and mesh shaders executed by a graphics processor. In some embodiments, a device includes buffer circuitry and shader circuitry configured to execute graphics programs. Control circuitry may: generate object shader work and mesh shader work for the shader circuitry, receive output information generated by a mesh shader that indicates a number of vertices and primitives to be output by the mesh shader, allocate, based on the output information and after execution of at least a portion of the mesh shader, a region of the buffer circuitry for storage of the vertices to be output by the mesh shader, and store the vertices output by the mesh shader in the allocated region. Disclosed techniques may advantageously provide efficient use of limited buffer resources.

Abstract: Rendering systems that can use combinations of rasterization rendering processes and ray tracing rendering processes are disclosed. In some implementations, these systems perform a rasterization pass to identify visible surfaces of pixels in an image. Some implementations may begin shading processes for visible surfaces, before the geometry is entirely processed, in which rays are emitted. Rays can be culled at various points during processing, based on determining whether the surface from which the ray was emitted is still visible. Rendering systems may implement rendering effects as disclosed.

Abstract: A display apparatus includes: a substrate having a transmission area, a display area, and a non-display area, wherein the display area surrounds the transmission area, and the non-display area is between the transmission area and the display area; a first wire on the substrate and including a first-1 wire and a first-2 wire extending in a first direction and being spaced apart from each other by the transmission area; a first connecting wire on a same layer as that of the first wire and connecting the first-1 wire to the first-2 wire; and a second wire extending in the first direction and including a second-1 portion and a second-2 portion, wherein the second-1 portion at least partially overlaps the first connecting wire and is arranged on a different layer from that of the first wire, and the second-2 portion is on the same layer as that of the first wire.

Abstract: Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different views with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model or avatar of the body of the user.

Abstract: A method, executable by a processor, of generating a 3D digital model associated with a given tooth is disclosed. The method includes obtaining a preliminary root 3D digital model of a root portion the given tooth, and then generating an augmented root 3D digital model therefrom by obtaining data of a longitudinal axis of the given tooth, and data indicative of a tooth gingiva segmentation contour between the crown and root portions; determining for each root vertex, a respective new position relative to the longitudinal axis in which the respective new position is defined by a shift distance value and a shift direction vector; moving each of the root vertices to their respective new position by applying their respective shift distance values along their respective shift direction vector; and storing the augmented root 3D digital model for determining an orthodontic treatment for the subject.

Abstract: Provided is a method for simultaneous localization and mapping (SLAM), the method including obtaining a current frame image input through a camera, performing scene recognition on the current frame image to obtain a key frame image having a greatest similarity to the current frame image in a global map, and obtaining a camera pose of the current frame image based on the key frame image.

Abstract: The exemplified methods and systems facilitate manufacturing of a new class of mechanical, loading-bearing components having optimized stress/strain three-dimensional meta-structure structures (also referred to herein as “Meshagons”) as finite-element-based 3D volumetric mesh structures. The resulting three-dimensional meta-structure structures provide high strength, ultra-light connectivity, with programmable interlinkage properties (e.g., density/porosity of linkages).

Abstract: Images of a scene are received. The images represent viewpoints corresponding to the scene. A pixel map of the scene is computed based on the plurality of images. Multi-plane image (MPI) layers from the pixel map are extracted in real-time. The MPI layers are aggregated. The scene is rendered from a novel viewpoint based on the aggregated MPI layers.

Abstract: A printing system includes a printing device. The printing system also includes a preflight system that checks incoming print jobs for possible errors or issues before commencing printing operations. The preflight system implements a generative adversarial network to facilitate the identification of possible problems with printing. The generative adversarial network includes a generative neural network and a discriminatory neural network. The generative neural network introduces errors into input data to train the discriminatory neural network in identifying problems with print jobs. The discriminatory neural network backpropagates its output to train the generative neural network.

Abstract: A display device including a display; a first external interface configured to be connected to a first external device; a second external interface configured to be connected to a second external device; and a controller configured to display, on the display, an external source list menu including first connection port information for identifying the first external interface and second connection port information for identifying the second external interface, after detecting a first connection signal indicating the first external device is connected to the first external interface, display, on the external source list menu, a first moving image from the connected first external device after receiving a first command signal from a remote controller, wherein the first moving image is displayed on a first position corresponding to the first connection port information identifying the first external interface in the external source list menu, and after detecting a second connection signal indicating the second ex

Abstract: Systems and methods for conveying virtual content in an augmented reality environment comprising images of virtual content superimposed over physical objects and/or physical surroundings visible within a field of view of a user as if the images of the virtual content were present in the real world. Exemplary implementations may: obtain user information for a user associated with a presentation device physically present at a location of the system; compare the user information with the accessibility criteria for the virtual content to determine whether any portions of the virtual content are to be presented to the user based on the accessibility criteria and the user information for the user; and facilitate presentation of the virtual content to the user via presentation device of user based on the virtual content information, the field of view, and the correlations between the multiple linkage points and the reference frame of the virtual content.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives, from a client device, a request for information associated with a category. In response to the request, the program further accesses a storage to retrieve a first value associated with the category. The program also determines a set of values associated with the category based on a plurality of transactions. The program further determines an optimization level value associated with the category. The program also determines a second value associated with the category based on the first value, the set of values, and the optimization level value. The program further provides, by an application operating on the device, a graphical user interface (GUI) to the client device, the GUI comprising the second value.

Abstract: A subject who dances is motivated to participate in dancing by presenting an ideal dance video to the subject in the form of a virtual video of the subject.

Abstract: A workpiece installation method includes obtaining a reference image that shows a reference workpiece whose posture has been adjusted, setting workpiece reference lines on a boundary of a first image area occupied by the reference workpiece in the reference image, obtaining a measurement image that shows a workpiece, generating, using a processor, a measurement combined image in which workpiece reference lines are superimposed on the measurement image and which shows the workpiece reference lines pass through positions respectively identical to workpiece reference line positions, and adjusting a posture of the workpiece such that a boundary of a second image area occupied by the workpiece in the measurement combined image is shown to be substantially parallel to or substantially coincident with the workpiece reference lines.

Abstract: An embodiment includes defining a private software catalog in a private cloud where the private software catalog includes a first set of software. The embodiment also includes associating the private software catalog with a target system. The embodiment also includes transferring the first set of software in the private software catalog to a target catalog corresponding to a target system. The embodiment also includes removing a second set of software from the target system where the second set of software is not defined in the private software catalog for the target catalog corresponding to the target system. Other embodiments of this aspect include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the embodiment.

Abstract: In example embodiments, a method includes obtaining a first measurement of at least a first physiological parameter of a user from a time before presentation of an information item to the user. The information item may be, for example, a notification, an advertisement, or an emergency alert, among other possibilities. A second measurement of the first physiological parameter is obtained from a time after a beginning of the presentation of the information item to the user (e.g. during the presentation). Based at least on a comparison between the first and second measurements, a determination is made of whether the user has perceived the information item. The determination may also be based on a corruption coefficient indicating an amount by which an activity of the user is likely to interfere with the first physiological parameter.

Abstract: Systems and methods for providing an Artificial Intelligence (AI) character model with modifiable behavioral characteristics are provided. An example method includes determining that an event has occurred in a virtual environment associated with the AI character model; modifying, in response to the determination that the event has occurred and based on information associated with the event, parameters of the AI character model to obtain further parameters associated with behavioral characteristics of the AI character model; and causing the AI character model to interact with the user according to the further parameters. The virtual environment and the AI character model may be provided to a user via a client-side computing device.

Abstract: Methods and systems are disclosed for performing operations for generating a photorealistic rendering of an object. The operations include: accessing a set of albedo textures and a machine learning model associated with a real-world object, the set of albedo textures and a machine learning model having been trained based on a plurality of viewpoints of the real-world object; obtaining a three-dimensional (3D) mesh of the real-world object; receiving input that selects a new viewpoint that differs from the plurality of viewpoints of the real-world object; and generating a photorealistic rendering of the real-world object from the new viewpoint based on the 3D mesh of the real-world object, the set of albedo textures, and the machine learning model associated with the real-world object.

Abstract: A computer implemented method for generating a 3D printable model of a patient specific anatomic feature from 2D medical images is provided. A 3D image is automatically generated from a set of 2D medical images. A machine learning based image segmentation technique is used to segment the generated 3D image. A 3D printable model of the patient specific anatomic feature is created from the segmented 3D image.

Abstract: A processor device that is an image processing apparatus functions as an image obtaining unit that obtains an endoscopic image obtained by capturing an image of a photographic subject, a biological information calculation unit that calculates biological information concerning the photographic subject by using the endoscopic image or a display image generated by using the endoscopic image, and a texture processing unit that superimposes a plurality of textures representing the biological information on the endoscopic image or the display image and shows a boundary between adjacent textures.

Abstract: Techniques are disclosed relating to testing whether a ray intersects a graphics primitive, e.g., for ray tracing. In some embodiments, intersection circuitry performs a reduced-precision conservative intersection test and shader circuitry performs an original-precision intersection test if the intersection circuitry indicates a hit. The intersection circuitry may quantize the ray (and may quantize the primitive or may receive a quantized representation of the primitive) and generates a potential error value based on propagation of quantization error for the primitive and ray. The intersection circuitry then determines an intersection result for the reduced-precision test based on the quantized primitive data and the potential error. In various embodiments, disclosed techniques may improve performance or reduce power consumption by reducing the number of original-precision intersection tests that do not result in hits.

Abstract: The present disclosure generally relates to systems and methods for three-dimensional image sensing. More specifically, and without limitation, this disclosure relates to systems and methods for detecting three-dimensional images, and using asynchronous image sensors for detecting the same.

Abstract: Methods and systems are described for image segmentation. A machine learning model is applied to a set of images to generate results. The results may be obtained as a probability map for each image in the set of images. The model may be trained by accessing a set of labeled images, each image associated with a label indicating a location of a feature within a respective image. An initial set of parameters is accessed. An encoder is initialized with the initial set of parameters. The encoder is applied to the set of labeled images to generate a prediction of a feature location within each image. The initial set of parameters are updated based on the predictions and the label associated with the labeled images. The updated set of parameters and an additional set of parameters generated using a set of unlabeled images are aggregated.

Abstract: A method for real-time acquisition of point-cloud data of an ongoing scanning process, comprising a recording phase iteratively performed using an external-memory algorithm comprising an acquisition pipeline performed with parallel threads and an eviction pipeline, wherein a master thread comprises processing a master tree and a node cache, wherein the acquisition pipeline comprises continuously receiving the point-cloud data in input buffers, computing a local tree for each of a plurality of local threads, redistributing the point-cloud data onto local nodes, determining, for each local node whether the master tree comprises a corresponding node or not, either adding the point cloud data or creating the corresponding node in the master tree, wherein the eviction pipeline comprises evicting, during the ongoing scanning process, point cloud data from the node cache and writing it to one or more hard drives.

Abstract: Magnetic resonance images with improved image quality consistent with those obtained using parallel radio frequency (“RF”) transmission (“pTx”) techniques are generated from data acquired using single transmission hardware (e.g., single channel RF transmission). A deep-learning framework is used to train a deep neural network to convert images obtained with single transmission into pTx-like images. The pTx-like images have reduced signal variations and dropouts that may otherwise be attributable to B1+ inhomogeneities.

Abstract: A method and apparatus for processing color data includes storing fragment pointer and color data together in a color buffer. A delta color compression (DCC) key indicating the color data to fetch for processing is stored, and the fragment pointer and color data is fetched based upon the read DCC key for decompression.

Abstract: An apparatus for evaluating a quality for image capture comprises a stored (101) for storing a model of a scene and a capture circuit (105) for generating virtual captured images for a camera configuration by rendering from the model. A depth generation circuit (107) generates model depth data from the model and a depth estimation circuit (111) generates estimated depth data from the virtual captured images. A first synthesis circuit (109) and a second synthesis circuit (113) generates first and second view images for test poses by processing the virtual captured images based on the model depth data or estimated depth data respectively. A reference circuit (103) generates reference images for the f test poses by rendering based on the model. A quality circuit (115) generates a quality metric based on a comparison of the first view images, the second view images, and the reference images.

Abstract: A computer-implemented method and a system are provided for visualising colocalised fluorescence signals. The method accesses signal intensity data obtained from a first fluorescence channel and a second fluorescence channel in which the signal intensity data is associated with voxels in an image. A regression factor on the signal intensity data is calculated to generate a regression parameter corresponding to a degree of correlation between the signal intensity data obtained from the first and second fluorescence channels The signal intensity data is mapped to the regression parameter and colourmap values are assigned to each voxel based on the mapped signal intensity data in which colourmap values of voxels embodying poorly correlated signal intensity data are reduced. The method renders the voxels in the image in colours according to their colourmap values to visualise colocalisation in the image.

Abstract: Methods and systems for gathering information from a user include identifying an origin topic and a target topic. A path from the origin topic to the target topic is determined. The path includes a set of bridging topics, where each bridging topic in the path is within a threshold distance in a semantic space from a previous topic and a subsequent topic. An interactive conversation is conducted with the user, introducing each topic in the path until the target topic has been reached. At least one predetermined piece of information relating to a user response to the target topic is recorded.

Abstract: A system includes an intraoral scanner and a computing device. The intraoral scanner generates an intraoral scan of a dental site. The computing device processes an input comprising data from the intraoral scan using a trained machine learning model that has been trained to classify regions of dental sites, wherein the trained machine learning model generates an output comprising, for each point in the intraoral scan, an indication as to whether the point belongs to a first dental class that represents excess material. The computing device determines, based on the output, one or more points in the intraoral scan that are classified as excess material. The computing device then hides or removes, from at least one of the intraoral scan or a virtual three-dimensional (3D) model generated using the intraoral scan, data for the one or more points that are classified as excess material.

Abstract: A system for refining an item identification model detects a triggering event at a platform, where the triggering event corresponds to a user placing the item on a platform. The system captures images of the item. The system extracts a set of features from at least one of the images. The system identifies the item based on the set of features. The system receives an indication that the item is not identified correctly. The system receives an identifier of the item. The system identifies the item based on the identifier of the item. The system feeds the identifier of the item and the images to the item identification model. The system retrains the item identification model to learn to associate the item to the images. The system updates the set of features based on the determined association between the item and the images.

Abstract: Transmedia scheduling systems and methods are described in which a user interface is generated via a channel engine that includes first and second channels. The channels are based on one or more channel templates stored in a channel database, and are preferably populated with concurrent transmedia stories. Each of the transmedia stories can be based on at least one transmedia object stored in a transmedia database and may be dynamically generated.

Abstract: A method of processing primitives within a tiling unit of a graphics processing system comprises determining whether a primitive falls within a tile based on positions of samples within each pixel. If it is determined that the primitive does fall within a tile based on the positions of samples within pixels in a tile, an association between the tile and the primitive is stored to indicate that the primitive is present in the tile. For example, an identifier for the primitive may be added to a control stream for the tile to indicate that the primitive is present in the tile. Various different methods are described to make the determination and these may be used separately or in any combination.

Abstract: The present invention discloses a remote monitoring method based on information fusion and virtual reality for a marine engine room, comprising five step s: step 1: employing sensors to collect thermodynamic parameters; step 2-1: using normalized relative deviation analysis method to obtain symptoms of the thermodynamic parameters; step2-2: using multi-scale time domain averaging method to extract signatures of vibration & noise signals; step 2-3: using projection moment method to describe dynamic characteristics of static pictures and infrared thermal images of equipment in the engine room; step 3: extracting features in the performance parameters and infrared thermal images; step 4: transmitting the analyzed results; and step 5: establishing visual 3D scenes of the marine engine room. The method rebuilds 3D interactive scenes of the marine engine room and realizes 3D animation effectively.

Abstract: A computer implemented system, method, or computer readable medium for providing a visual interactive software tool that permits users to investigate and evaluate financial, trade, and business-related risks. An interactive tool is provided that can integrate front and back end capabilities to, for example, provide quick and efficient navigation to pertinent information in a visual workspace. The system, method, or computer readable medium can be configured to include a software engine that identifies corridors or other subgraph features in accordance with automated traversal based on a set of rules. The features can provide a notification and selective visual access to risk-related subgraphs based on topic, category, or sanctions as a virtual lens for the user in connection with a displayed node.

Abstract: Embodiments of this application disclose an artificial intelligence-based (AI-based) animation character control method. When one animation character has a corresponding face customization base, and one animation character has no corresponding face customization base, the animation character having the face customization base may be used as a driving character, and the animation character having no face customization base may be used as a driven character.

Abstract: In various embodiments, a finite aperture omni-directional camera is modeled by aligning a finite aperture lens and focal point with the omni-directional part of the projection. For example, each point on an image plane maps to a direction in camera space. For a spherical projection, the lens can be orientated along this direction and the focal point is picked along this direction at focal distance from the lens. For a cylindrical projection, the lens can be oriented along the projected direction on the two dimensional (2D) xz-plane, as the projection is not omni-directional in the y direction. The focal point is picked along the (unprojected) direction so its projection on the xz-plane is at focal distance from the lens. The final outgoing ray can be constructed by sampling of point on this oriented lens and shooting a ray from there through the focal point.

Abstract: A method and system for generating and shading a computer graphics image in a tile based computer graphics system is provided. Geometry data is supplied and a plurality of primitives are derived from the geometry data. One or more modified primitives are then derived from at least one of the plurality of primitives. For each of a plurality of tiles, an object list is derived including data identifying the primitive from which each modified primitive located at least partially within that tile is derived. Alternatively, the object list may include data identifying each modified primitive located at least partially within that tile. Each tile is then shaded for display using its respective object list.

Abstract: Systems, apparatuses and methods may provide for technology that sets a write protection flag in a guest command buffer associated with a virtual machine and injects a semaphore command into a shadow command buffer in response to a fault. The fault is to correspond to a write of a graphics command to the guest command buffer by code executing in graphics hardware. In one example, the technology also conducts a security scan of the graphics command in response to a context switch in the graphics hardware, wherein the context switch is to be associated with the semaphore command.

Abstract: Disclosed are an electronic device generating a multi-plane image of an arbitrary viewpoint and an operating method thereof. The electronic device includes a memory that stores a plurality of images, and at least one processor that executes a machine learning-based multi-plane image generating module generating an image of an arbitrary viewpoint from the plurality of images stored in the memory. When the multi-plane image generating module is executed, the processor selects at least two images from the plurality of images, by performing geometric calibration on the plurality of images, calculates a plane sweep volume including at least two layer images, performs an operation of a deep neural network to generate a plurality of multi-plane images having probability values, and generates the image of the arbitrary viewpoint by composing the plurality of multi-plane images and stores the image of the arbitrary viewpoint in the memory.