Abstract: A method is disclosed for controlling an ophthalmological laser of a treatment apparatus for the treatment of a human or animal eye. The method includes controlling the laser by a control device of the treatment apparatus such that the laser emits pulsed laser pulses in a shot sequence in a preset pattern into the eye. The individual laser pulses interact with a tissue of the eye for the treatment of the eye, wherein a space-filling curve is the preset pattern for treating the tissue.

Abstract: Methods and systems for identifying areas of interest in an image and management of images are disclosed. To manage identification of areas of interest in an image, subject matter expert driven processes may be used to identify the areas of interest. The identified areas of interest may be used to establish plans to guide subsequent use of the image. The identified areas of interest may also be used to establish plans to cache portions of the image to speed subsequent use of the image.

Abstract: A method comprising: dividing a 3D space into a voxel grid comprising a plurality of voxels; associating a plurality of distance values with the plurality of voxels, each distance value based on a distance to a boundary of an object; selecting an approximate interpolation mode for stepping a ray through a first one or more voxels of the 3D space responsive to the first one or more voxels having distance values greater than a threshold; and detecting the ray reaching a second one or more voxels having distance values less than the first threshold; and responsively selecting a precise interpolation mode for stepping the ray through the second one or more voxels.

Abstract: An apparatus to facilitate inferred object shading is disclosed. The apparatus comprises one or more processors to receive rasterized pixel data and hierarchical data associated with one or more objects and perform an inferred shading operation on the rasterized pixel data, including using one or more trained neural networks to perform texture and lighting on the rasterized pixel data to generate a pixel output, wherein the one or more trained neural networks uses the hierarchical data to learn a three-dimensional (3D) geometry, latent space and representation of the one or more objects.

Abstract: A robot device, a method for training a robot control model, and a method for controlling a robot device. The method for training includes: supplying an image showing object(s), to a first and second prediction model to produce a first and second pickup prediction that has, for each pixel of the image, a first and second pickup robot configuration vector with an assigned first and second success probability; supplying the first and second pickup prediction to a blending model of the robot control model to produce a third pickup prediction that has, for each pixel of the image: a third pickup robot configuration vector that is a weighted combination of the first and second pickup robot configuration vector, and a third success probability that is a weighted combination of the first and second success probability; and training the robot control model by adapting the first and second weighting factors.

Abstract: A method comprising: dividing a 3D space into a voxel grid comprising a plurality of voxels; associating a plurality of distance values with the plurality of voxels, each distance value based on a distance to a boundary of an object; selecting an approximate interpolation mode for stepping a ray through a first one or more voxels of the 3D space responsive to the first one or more voxels having distance values greater than a threshold; and detecting the ray reaching a second one or more voxels having distance values less than the first threshold; and responsively selecting a precise interpolation mode for stepping the ray through the second one or more voxels.

Abstract: An information processing device includes: a storage unit that stores first information indicating at least one of a structure or a physical property of a first object obtained by capturing a real physical body into a virtual space; and a specifying unit that specifies an arrangement of a second object indicating a virtual object in the virtual space so that the arrangement is capable of expressing an interaction with the first object, based on an arrangement condition of the second object and on the first information.

Abstract: A scene reconstruction system renders images of a scene with high-quality geometry and appearance and supports view synthesis, relighting, and scene editing. Given a set of input images of a scene, the scene reconstruction system trains a network to learn a volume representation of the scene that includes separate geometry and reflectance parameters. Using the volume representation, the scene reconstruction system can render images of the scene under arbitrary viewing (view synthesis) and lighting (relighting) locations. Additionally, the scene reconstruction system can render images that change the reflectance of objects in the scene (scene editing).

Abstract: A system and method for improving the quality of video for virtual reality systems uses several different techniques to improve the quality of the video. The different techniques may include quantization parameter maps, gradient scaling, using analytics to identify most view scenes and encode the most viewed scenes with better quality and adaptively shaping the field of view.

Abstract: Methods and system for generating an image for a user prompt provided by a user includes receiving the user prompt from the user. The user prompt is analyzed to detect text input and keywords included within. Keyword variations are provided to one or more keywords for user selection. An adjusted user prompt is generated by replacing keywords in the user prompt with keyword variations selected by the user. An image customized for the adjusted user prompt is generated to include image features that are influenced by content of the adjusted user prompt. The customized image providing a visual representation of the adjusted prompt is returned to a client device for rendering.

Abstract: Methods and systems are disclosed for performing operations comprising: receiving a monocular image that includes a depiction of a person wearing an article of clothing; generating a segmentation of the article of clothing worn by the person in the monocular image; obtaining one or more audio-track related augmented reality elements; and applying the one or more audio-track related augmented reality elements to the article of clothing worn by the person based on the segmentation of the article of clothing worn by the person.

Abstract: A method for generating an unobstructed bowl view of a vehicle that includes obtaining a plurality of images from a plurality of cameras disposed on the vehicle and determining a plurality of depth fields. The method further includes detecting a plurality of distorted objects in the plurality of images with a first machine-learned model that assigns a class distribution to the detected distorted object and estimating a distance of each distorted object from its associated camera using the plurality of depth fields. The method further includes assigning an object weight to each distorted object in the plurality of distorted objects and removing at least one distorted objects from the plurality of images. The method further includes replacing each of the at least one removed distorted objects with a representative background generated by a second machine-learned model and stitching and projecting the plurality of images to form the unobstructed bowl view.

Abstract: Embodiments provide for three-dimensional cloth modeling are provided. A first mesh comprising a plurality of faces defined by a plurality of edges is accessed, and a render mesh is generated using quadrangulated tessellation of the first mesh, where the render mesh comprises quad faces. One or more attributes of the plurality of faces of the first mesh are transferred to one or more of the quad faces of the render mesh using a stochastic transfer operation. The render mesh is displayed via a graphical user interface (GUI).

Abstract: A method of a clothing virtual try-on service based on deep learning allowing a virtual try-on service application executed by at least one processor of a computing device to perform a process of the clothing virtual try-on service based on the deep-learning includes: determining a first clothes image including a first clothes object, a second clothes image including a second clothes object, and a model image including a model object; generating a first transformed clothes image by transforming a shape of the first clothes object to correspond to the model object; generating a second transformed clothes image by transforming a shape of the second clothes object to correspond to the model object; and generating and outputting a virtual fitting image obtained by synthesizing the first transformed clothes image and the second transformed clothes image to be virtually fitted on the model object.

Abstract: In order to output an image to a user, an electronic device may include loading a plurality of basic image tiles with a first resolution, the plurality of basic image tiles being preset for a graphic space set based on a virtual coordinate system, determining a target basic-image tile among the plurality of basic image tiles based on a coordinate of a virtual camera set on the virtual coordinate system, transmitting information on a target basic-image tile to a server, receiving a plurality of detailed image tiles with a second resolution corresponding to the target basic-image tile from the server, and outputting an image with the second resolution based on the plurality of detailed image tiles when the virtual camera zooms in on the target basic-image tile.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generated simulated sensor data. One of the methods includes obtaining a surfel map generated from sensor observations of a real-world environment and generating, for each surfel in the surfel map, a respective grid having a plurality of grid cells, wherein each grid has an orientation matching an orientation of a corresponding surfel, and wherein each grid cell within each grid is assigned a respective color value. For a simulated location within a simulated representation of the real-world environment, a textured surfel rendering is generated, including combining color information from grid cells visible from the simulated location within the simulated representation of the real-world environment.

Abstract: In a process for selecting a LOD visual asset from a set of pre-generated LOD visual assets for rendering during gameplay, data representative of the set of pre-generated LOD visual assets and associated switch distances is accessed. One or more variables related to the client devices and/or the gameplay being rendered on the client devices is monitored. Thereafter, either a first action of applying at least one corrective factor to the associated switch distance in order to generate modulated switch distances and then selecting a LOD from the set of pre-generated generated LOD visual assets based on one of the modulated switch distances or a second action of selecting a LOD visual asset from the set of pre-generated LOD visual assets based on the associated switch distances corresponding to the selected LOD visual asset is performed.

Abstract: A method for generating at least one proxy level of detail (LOD) visual asset for contents of a grid cell of a game map is described. A LOD management engine receives data indicative of grid cell contents and at least one function is applied to the data. The LOD engine generates a base proxy LOD visual asset representative of the data and an associated base proxy switch distance as a result of the applying, received by a LOD management module which generates a first proxy LOD visual asset by iteratively reducing a polygon mesh complexity of the base proxy LOD visual asset until a maximum geometric deviation of the first proxy LOD visual asset approaches a predefined threshold value. The LOD management module generates a first proxy switch distance at which the predefined threshold value, when projected on a display of a default resolution, comprises a predefined number of pixels.

Abstract: A display system includes a host configured to transfer image data respectively corresponding to a plurality of frames through a main channel, and to transfer a synchronization signal that synchronizes a clock signal of the host with a clock signal of the display driving circuit through an auxiliary channel, a display panel configured to display the image data, and a display driving circuit configured to generate control signals driving the display panel, based on the synchronization signal received through the auxiliary channel. The host is configured to transfer the synchronization signal including a first synchronization signal and a second synchronization signal that is different from the first synchronization signal, to the display driving circuit, through the auxiliary channel.

Abstract: An attack situation visualization device includes: a memory that stores instructions; and at least one processer configured to process the instructions to: analyze a log in which information about a cyberattack is recorded and specify at least either of a source of a communication related to the cyberattack and a destination of a communication related to the cyberattack; and generate display information allowing display of an image in which an image representing a map, a source image representing the source, and a destination image representing the destination are arranged on the map, wherein, the at least one processer configured to process the instructions to generate the display information including an attack situation image visualizing at least either of a traffic volume and a communication frequency of a communication related to the cyberattack between the source and the destination.

Abstract: The present disclosure provides methods, apparatuses, systems, and computer-readable mediums for switching from a standby mode to a normal mode. In some embodiments, an electronic device includes a communication interface including a plurality of communication modules configured to communicate with a corresponding plurality of display modules of a display device, a memory storing instructions, and at least one processor configured to execute the instructions to transmit, to a first communication module, a first pulse signal configured to turn on the first communication module in a first time period, transmit, to a first display module, a first control signal based on having received a first remote control signal configured to switch the electronic device from the standby mode to a normal mode, and switch the electronic device from the standby mode to the normal mode based on receiving a first response signal indicating reception of the first control signal.

Abstract: An apparatus and method for performing efficient video transmission. In various implementations, a computing system includes a transmitter sending a video stream to a receiver over a network. Before encoding a video frame, the transmitter identifies a first set of one or more macroblocks of the video frame that includes text. The transmitter replaces pixel color information with pixel distance information for the first set of one or more macroblocks. The transmitter inserts, in metadata information, indications that identify the first set of one or more macroblocks and specify the color values of pixels in the first set of one or more macroblocks. The transmitter encodes the video frame and sends it along with the metadata information to the receiver. The receiver uses the metadata information to reproduce the original pixel colors and maintain text clarity of an image to be depicted on a display device.

Abstract: Methods and systems for rendering distinct components of a combined user interface (UI) are described herein. A processing device receives a user request for a media item to be presented via a combined UI including one or more video content components and one or more UI control components. The processing device generates a rendering of the video content components and transmits a first stream including the rendering of the video content components to an endpoint device, wherein the first stream is encoded to a first resolution and wherein the rendering of the video content components is to be merged with a rendering of the UI control components into the combined UI at the endpoint device, the combined UI having a second resolution.

Abstract: A method for video frame analysis includes determining a first dissimilarity metric and a second dissimilarity metric. The first dissimilarity metric may correspond to a first difference between a first foreground of a first key frame in a video and a second foreground of a second key frame following the first key frame in the video. The second dissimilarity metric may correspond to a second difference between the second foreground of the second key frame and a third foreground of a third key frame following the second key frame in the video. A playback of the video may be generated based on the first dissimilarity metric and the second dissimilarity metric. Related systems and computer program products are also provided.

Abstract: A platform, web application, system, and methods are disclosed for creating digital 3D scenes having digital 3D objects and for creating images of the digital 3D scenes. The platform can be communicatively coupled with the web application. The platform can apply a multi-stage method to convert high-fidelity digital 3D objects into low-fidelity digital 3D objects, store a mapping between them, and transmit low-fidelity digital 3D objects to the web application. The web application can include user interfaces for manipulating low-fidelity digital 3D objects to create low-fidelity digital 3D scenes. The platform can automatically convert low-fidelity digital 3D scenes received from the web application into high-fidelity digital 3D scenes and create high-fidelity 2D images.

Abstract: A method for determining a 6-dimensional (6D) delta pose of a vehicle includes obtaining a pre-defined roadmodel 2-dimensional (2D) manifold in 6D space, wherein the roadmodel 2D manifold in 6D space is pre-defined by transforming objects in a roadmodel from 3D (x, y, z) space into 6D (x, y, z, r, p, y) space, wherein x and y represent positions of objects on a horizontal plane, and z, r, p and y represent the height, roll angle, pitch angle and yaw angle of the objects in real world; obtaining a delta 3D odometry (?x, ?y, ?) from an odometer of the vehicle, wherein ?x and ?y represent the movements in the lateral and forward-reverse directions, and ? represents a current heading of the vehicle; projecting the obtained delta 3D odometry onto the roadmodel 2D manifold; and determining the 6D delta pose of the vehicle corresponding to the delta 3D odometry.

Abstract: The present disclosure discloses a cyberspace map model creation method, which includes: determining that a coordinate system of a cyberspace map model uses an IP address as a basic vector; mapping the IP address to a two-dimensional coordinate system; determining, by means of orthogonalizing a logical port, a region, a topological structure to the IP address, a three-dimensional coordinate system to describe more fine-grained information of a cyberspace; constructing a scale standard, so as to lay a theoretical foundation for a multi-level and scalable representation of complex and diverse cyberspace resources in the cyberspace map model; and determining a mapping relationship between a cyberspace map and a geographic map to support screen segmentation, so as to perform a comparison drawing of a same cyberspace scenario in different cyberspace maps and geographic maps, and present cyberspace information in many aspects.

Abstract: A high-resolution image matching method and system are provided. The method includes performing regional fidelity down-sampling on an initial high-resolution image to obtain a multi-level low-resolution image, performing local matching on the obtained multi-level low-resolution images using a method with global probes to obtain a matching result of the low-resolution images, and performing reverse refinement on the obtained matching result of the low-resolution image using overall consistency of the image matching, to obtain the matching results of the high-resolution images at all levels until the matching results of the initial resolution images are obtained, so as to reduce the computational complexity of the image matching process and improve the accuracy of the matching result, and then the matching result of the high-resolution image is obtained through reverse refinement based on the overall consistency.

Abstract: Disclosed are a gated network-based generator, a generator training method, and a method for avoiding image coordinate adhesion. The generator processes, by using an image input layer, a to-be-processed image as an image sequence and inputs it to a feature encoding layer. Multiple feature encoding layers encode the image sequence by using a gated convolutional network, to obtain an image code. Moreover, multiple image decoding layers decode the image code by using an inverse gated convolution unit, to obtain a target image sequence. Finally, an image output layer splices the target image sequence to obtain a target image. Therefore, a character feature in the obtained target image is more obvious, making details of a facial image of generated digital human more vivid, whereby solving a problem of image coordinate adhesion in a digital human image generated by an existing generator using a generative adversarial network, and improving user experience.

Abstract: An electronic device may provide foveated images at an eye box. The device may have a first display module that produces a low resolution portion of the image and a second display module that produces a high resolution portion of the image. A reflective input coupling prism may be mounted to a waveguide. A steering mirror may overlap the prism. The mirror may receive the high resolution portion through the waveguide and the prism. The mirror may reflect the high resolution portion back into the waveguide and may be adjusted to shift a location of the high resolution portion within the image. For example, the steering mirror may adjust the position of the high resolution portion to align with the gaze direction at the eye box. A reflective surface of the prism may reflect the low resolution portion of the image into the waveguide.

Abstract: An imaging apparatus includes: an image sensor generating original image data; an image processor performing image processing to generate image data; a storage storing a plurality of first parameter sets and at least one second parameter set; and a user interface receiving a user operation combining a first parameter set with a second parameter set. Each of the plurality of first parameter sets defines the effect in the image processing. Each of the at least one second parameter set defines a correspondence before and after color information in an image is converted. Based on the user operation, the image processor: adjusts an image indicated by the original image data, using the first parameter set included in the combination designated by the user operation; and converts color information included in the image adjusted by the first parameter set, using the second parameter set included in the designated combination.

Abstract: A method and device for subsiding motion sickness when a user is following the viewport of another user in a streaming session is provided. The method includes determining a field of view (FoV) of the user, based on a speed of a FoV of the user being followed. The FoV of the user being followed is an original FoV without any reduction. Further, the method includes generating a modified first FoV by at least one of (1) reducing the FoV of the user based on the speed of the FoV of the user being followed increasing, and (2) increasing the FoV of the user based on the speed of the FoV of the user being followed decreasing, and transmitting the modified first FoV to the user as a new viewport.

Abstract: Systems and methods for using three-dimensional scans of a physical subject to determine positions and/or orientations of skeletal joints in the rigging for a virtual character. At least one articulation segment of a polygon mesh for the virtual character may be determined. The articulation segment may include a subset of vertices in the polygon mesh. An indicator of the position or orientation of the articulation segment of the polygon mesh may be determined. Based on the indicator of the position or orientation of the articulation segment, the position or orientation of at least one joint for deforming the polygon mesh may be determined.

Abstract: A method of performing anisotropic texture filtering includes generating one or more parameters describing an elliptical footprint in texture space; performing isotropic filtering at each sampling point of a set of sampling points in an ellipse to be sampled to produce a plurality of isotropic filter results, the ellipse to be sampled based on the elliptical footprint; selecting, based on one or more parameters of the set of sampling points and one or more parameters of the ellipse to be sampled, weights of an anisotropic filter that minimize a cost function that penalises high frequencies in the filter response of the anisotropic filter under a constraint that the variance of the anisotropic filter is related to an anisotropic ratio squared, the anisotropic ratio being the ratio of a major radius of the ellipse to be sampled and a minor axis of the ellipse to be sampled; and combining the plurality of isotropic filter results using the selected weights of the anisotropic filter to generate at least a portion

Abstract: In one embodiment, a method includes identifying a portion of an object representation in a virtual scene to be displayed by a set of pixels of a display, accessing a rendering pattern associated with the set of pixels, wherein the rendering pattern is associated with the set of pixels based on a position of the set of pixels relative to a foveal region, accessing a texture array associated with the portion of the object representation, determining, according to the rendering pattern, first pixel values for a first subset of the set of pixels by sampling the texture array, determining, according to the rendering pattern, second pixel values for a second subset of the set of pixels using the first pixel values, and sending the first pixel values and the second pixel values to the display.

Abstract: A method of performing anisotropic texture filtering includes generating one or more parameters describing an elliptical footprint in texture space; performing isotropic filtering at each of a plurality of sampling points in an ellipse to be sampled, the ellipse to be sampled based on the elliptical footprint; and combining results of the isotropic filtering at each of the plurality of sampling points to generate a combination result by a sequence of linear interpolations, wherein each linear interpolation in the sequence of linear interpolations comprises blending a result of a previous linear interpolation in the sequence with the isotropic filtering results for one or more of the plurality of sampling points, the one or more of the plurality of sampling points for a linear interpolation being closer to a midpoint of the major axis of the elliptical footprint than the one or more of the plurality of sampling points for the previous linear interpolation in the sequence.

Abstract: A display unit color-correction method includes: a first step of displaying a prescribed image on a display unit of a portable communication terminal that includes an imaging unit and the display unit; a second step of acquiring imaging data by imaging a color chart, which is a printed matter, and the display unit with the prescribed image displayed thereon together or individually by the imaging unit; and a third step of correcting a color of the display unit by using color information on the prescribed image in the imaging data and color information on a color in the color chart in the imaging data.

Abstract: A computer implemented method to present digital images may include storing a digital image in a database and applying a digital image processing technique to the digital image to identify a region of interest of the digital image. The method may also include storing region data that identifies the region of interest of the digital image in the database and receiving a request for information associated with the digital image from a digital device. In response to the request, the method may include providing the digital image and the region data for transmission to the digital device, the digital device configured to adjust a cropping view of the digital image based on the region data to display the region of interest of the digital image.

Abstract: A system and method for editing and outputting an image, for example, for wall or other décor. Tools enable a user to parse a single image, such as a photograph, substantially automatically across a grid of multiple tiles. In addition to parsing, various kinds of image editing are provided as a function of tools in an innovative graphical user interface operating on a smart phone or one or more computing devices. Various operations are performed on an image that has been parsed across a grid of multiple tiles to provide for a custom output, such as for displaying an image uniquely on a wall or other surface.

Abstract: A terrain elevation data generation method includes: obtaining, at an apparatus, a low-resolution data set corresponding to a geographic area and comprising a plurality of low-resolution terrain elevation values corresponding to first locations within the geographic area; and applying, at the apparatus, the plurality of low-resolution terrain elevation values to a resolution enhancing model to produce a plurality of higher-resolution terrain elevation values corresponding to second locations within the geographic area, a second quantity of the second locations within the geographic area being higher than a first quantity of the first locations within the geographic area.

Abstract: A display device includes a substrate and a plurality of pixels disposed on the substrate is provided by the present disclosure. The substrate has an edge, wherein the edge extends along a first direction. The plurality of pixels include a first pixel closest to the edge and a second pixel adjacent to the first pixel, wherein the first pixel and the second pixel are arranged along a second direction perpendicular to the first direction, and any one of the first pixel and the second pixel includes a plurality of sub-pixels arranged along the first direction. A width of the first pixel is less than a width of the second pixel in the second direction.

Abstract: A surface analyzer is provided with a measuring unit, a scatter diagram generation unit, a cluster analysis unit, and a cluster region detection unit. The measuring unit acquires a signal reflecting a quantity of each of a plurality of components or elements that are analysis targets at a plurality of positions on a sample. The scatter diagram generation unit generates a scatter diagram based on a measurement result by the measuring unit. The cluster analysis unit performs the clustering of points in the scatter diagram. The cluster region detection unit acquires, based on clustering information given to each point in the scatter diagram by the cluster analysis unit, for each cluster, cluster region boundary information on a polygon having a predetermined number or less of vertices.

Abstract: Provided is a device for upscaling resolution based on a slice image, in which a low-resolution image is divided into a plurality of slice images so that a high-resolution image is generated. The device includes a convolution operation unit configured to convert a low-resolution input slice image into a high-resolution output slice image using a convolutional neural network. The convolutional neural network includes a cascading block configured to perform a convolution operation using a convolution filter having a predetermined size and a residual operation on an input feature map generated from the low-resolution input slice image to generate an output feature map, and an upscaling block configured to upscale the output feature map to generate the high-resolution output slice image.

Abstract: An appearance-responsive material map generation system generates a set of material maps based on the appearance of a material depicted in the source material data. A neural network included in the appearance-responsive material map generation system is trained to identify features of particular source material data, such as features that contribute to a highly realistic appearance of a graphical object rendered with the material depicted in the source material data. In some cases, the trained neural network receives source material data that includes at least one source material map. Based on the features that are identified for the particular source material data, the appearance-responsive material map generation system creates a respective set of appearance-responsive material maps for the particular source material data. In some cases, the appearance-responsive rendering map set is arranged as an inconsistent pyramid of material maps.

Abstract: A system may provide for searching terrain data of real-world locations based on input representing a terrain for a game world. The system may receive terrain inquiry data including height data for terrain of a game world, generate an inquiry descriptor based on the terrain inquiry data at least in part by applying a plurality of filters to the terrain inquiry data, the inquiry descriptor including a plurality of inquiry descriptor values corresponding to the plurality of filter and determine, based on the inquiry descriptor and respective sample descriptors of one or more terrain samples corresponding to terrain of real-world locations, one or more matching terrain samples.

Abstract: A method of performing anisotropic texture filtering includes generating one or more parameters describing an elliptical footprint in texture space; performing isotropic filtering at each of a plurality of sampling points along a major axis of the elliptical footprint, wherein a spacing between adjacent sampling points of the plurality of sampling points is proportional to ?{square root over (1???2)} units, wherein ? is a ratio of a major radius of an ellipse to be sampled and a minor radius of the ellipse to be sampled, wherein the ellipse to be sampled is based on the elliptical footprint; and combining results of the isotropic filtering at the plurality of sampling points with a Gaussian filter to generate at least a portion of a filter result.

Abstract: A method is provided to model a 3D structure comprising: producing a surface mesh representation of the 3D structure; producing a volume mesh representation of the 3D structure based upon the surface mesh; sorting vertices of the volume mesh into a first sub-list that includes only surface vertices and a second sub-list that includes only internal vertices; applying shading to the surface mesh by accessing only surface vertices in the first sub-list; determining deformation of the volume mesh by accessing both surface vertices in the first sub-list and internal vertices in the second sub-list.

Abstract: An augmented reality (AR) platform supports concurrent operation of multiple AR applications developed by third-party software developers. The AR platform may include an application programming interface (API) that third-party software developers can use to integrate features of the AR platform into the overall user experience of their AR applications. The AR platform includes a feature set having a variety of AR-specific features that interact with and are accessible to the AR applications or AR layers that define a collection of AR content.

Abstract: An image processing system for an extended reality, XR, device comprising an eye-tracking subsystem, for determining a focus region of the eye, and a processor. The processor is configured to process application data to render image content for an application for display on the XR device, and obtain metadata indicating that a virtual object is to be generated as a hologram as part of the image content for display. Based on a determination that the virtual object belongs to a predetermined class of objects and is to be displayed in the focus region, the processor performs, using a neural network corresponding to the predetermined class of objects, foveated processing of the image content, including at least part of the hologram, such that relatively high-quality image content is generated for display in the focus region and relatively low-quality image content is generated for display outside the focus region.

Abstract: An image processing method includes generating a second image by applying noise to a first image, as a first process, and generating a third image by upsampling the second image through a neural network, as a second process. The second image is generated by applying noise to the first image expressed in a second bit depth higher than a first bit depth of the first image and then restoring the bit depth to the first bit depth.