Abstract: Embodiments include systems and methods for creation of a 3D mesh from a video stream or a sequence of frames. A sparse point cloud is first created from the video stream, which is then densified per frame by comparison with spatially proximate frames. A 3D mesh is then created from the densified depth maps, and the mesh is textured by projecting the images from the video stream or sequence of frames onto the mesh. Metric scale of the depth maps may be estimated where direct measurements are not able to be measured or calculated using a machine learning depth estimation network.

Abstract: A computer-implemented method. Includes determining an estimate of a state of an object detected at a first time step, based on a pointwise estimate of the state of the object at the first time step and pointwise measurements of the state of the object at a plurality of further time steps. Includes generating, using the estimate of the state of the object, a proposed annotation associated with the object at the first time step. Includes rendering, via a user interface, a visual representation of the environment at the first time step and a visual representation of the proposed annotation. Includes receiving, via the user interface, user input indicating a user-approved annotation associated with the object at the first time step. Includes generating training data for a machine learning model for use in controlling an autonomous vehicle, based at least in part on the user-approved annotation.

Abstract: Embodiments include methods and systems for improving information security of an input signal. Embodiments include encrypting the input signal, based on concurrently executing a plurality of sequences of transformations of the input signal. Embodiments include, for each sequence of the plurality of sequences: performing a discrete Fourier transform on the input signal; preserving amplitude information of the input signal; and ciphering the input signal based on a unique key that corresponds to the sequence. In embodiments, executing each one of the sequences produces a corresponding encrypted data signal. In embodiments, recreation of the input signal requires each of the encrypted data signals and the corresponding unique key.

Abstract: A system and processor-implemented method for three-dimensional (3D) object retrieval using a self-supervised model is provided. The present system learns an embedding space of the 3D mesh objects in a self-supervised manner without the need for objects annotated with their class or other properties. Effective embeddings of 3D mesh objects are learned using the self-supervised method for ranked retrieval from a large collection of 3D objects. A simple representation of mesh objects and a standard neural network model is used to learn the embedding. The results are retrieved on the basis of the shape of the object which may not belong to the same category but look similar in shape using the embeddings generated by self-supervised model. The system is independent of class labels and uses the entire 3D model for better information extraction.

Abstract: Aspects of the present disclosure involve a system and a method for performing operations comprising: receiving a two-dimensional continuous surface representation of a three-dimensional object, the continuous surface comprising a plurality of landmark locations; determining a first set of soft membership functions based on a relative location of points in the two-dimensional continuous surface representation and the landmark locations; receiving a two-dimensional input image, the input image comprising an image of the object; extracting a plurality of features from the input image using a feature recognition model; generating an encoded.

Abstract: A system for calibrating a driver monitoring system in a vehicle comprises a rearview assembly comprising a housing, a mount secured to a vehicle surface, and a barrel extending between the housing and the mount; an imager disposed in the rearview assembly; a processor in communication with the imager; a memory comprising a file containing information on stationary landmarks proximate the imager; and a controller operable to: receive images of the vehicle's interior and calibrate the imager by identifying a substantially stationary landmark in a first image used during an initial calibration; wherein the controller is configured to re-calibrate the driver monitoring operations based, at least in part, on a detection of the substantially stationary landmark being in a different location in a second image relative to the first image. One of the ends of the barrel is connected with a moveable joint.

Abstract: An electronic device according to an embodiment disclosed in the present document may include: a display; at least one sensor; a communication circuit; a memory; and a processor coupled to the display, the at least one sensor, the communication circuit, and the memory, wherein the memory includes instructions which, when executed, cause the processor to: provide an augmented reality (AR) environment; recognize a transition property of a real object through the at least one sensor; recognize a property of a virtual object in the augmented reality environment; and assign at least a part of the transition property of the real object to the virtual object on the basis of the transition property of the real object and the property of the virtual object.

Abstract: In one aspect, a device includes at least one processor and storage accessible to the at least one processor. The storage includes instructions executable by the at least one processor to execute a software development kit (SDK) to interface between a two-dimensional (2D) application (app) and a three-dimensional (3D) app. The instructions are also executable to identify, via the SDK, a callback from the 2D app. The callback indicates a uniform resource locator (URL) associated with a 3D model. The instructions are further executable to execute the SDK to indicate, to the 3D app, the 3D model for rendering in 3D space.

Abstract: Methods and systems are provided for resolving a user input. One method involves assigning a first identifier to a first stream of messages from a user input device corresponding to a first user input with respect to an application, and while a user interaction state associated with the first stream of messages is active, assigning a second identifier to a second stream of messages from the user input device, and in response to detecting the second identifier corresponds to the first identifier, deactivating the first stream of messages associated with the first stream of messages, wherein deactivating the first stream of messages results in the application responding to the second stream of messages corresponding to the second user input.

Abstract: Systems and methods for automatically registering a first input medical image and a second input medical image are provided. The first input medical image in a first modality and the second input medical image in a second modality are received. One or more objects of interest are segmented from the first input medical image to generate a first segmentation map and one or more objects of interest are segmented from the second input medical image to generate a second segmentation map. A first point cloud is extracted from the first segmentation map and a second point cloud is extracted from the second segmentation map. A transformation for aligning the first point cloud and the second point cloud is determined to register the first input medical image and the second input medical image. The transformation is output.

Abstract: A point cloud decoding device according to the present invention 200 includes: a geometry information decoding unit 2010 that decodes a first flag used to indicate whether or not to carry out inverse quantization of position information from a bit stream; and a tree synthesizing unit 2020 that sets a value of NodeQp to zero in a case where the first flag indicates that the inverse quantization of the position information is not carried out, the NodeQp being used as a quantization parameter for each node.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for searching through spatial recordings by constructing queries. One of the methods include constructing a query based on input received at a three-dimensional (3D) space displayed at a visual programming interface, wherein the input includes positioning of objects at 3D positions within the 3D space over time, wherein the input defines at least one spatial orientation between at least two objects from the objects in the 3D space; executing the query to search a database of 3D recordings to find at least one segment from at least one 3D recording that includes the at least two objects and matches the spatial orientation between the at least two objects, as defined in the input, at a specific point in time; and presenting the at least one segment from the at least one 3D recording via the visual programming interface.

Abstract: A scanning system comprises an intraoral scanner to capture scan data of a dental site and a computing device to generate a 3D rendering of the dental site. The scanner comprises one or more input devices configured to provide manual interaction with the computing device, where: a first activation of the input device(s) causes the scanning system to enter an inspection mode in which a view of the 3D rendering is adjustable based on movements of the intraoral scanner; and a second activation of the one or more input devices causes the scanning system to enter an overlay mode, wherein the computing device is to present a menu visualized on top of the 3D rendering on the display while the scanning system is in the overlay mode, the menu comprising one or more instructions for use of the intraoral scanner to control a user interface of the scanning system.

Abstract: Physical object boundary detection techniques and systems are described. In one example, an augmented reality module generates three dimensional point cloud data. This data describes depths at respective points within a physical environment that includes the physical object. A physical object boundary detection module is then employed to filter the point cloud data by removing points that correspond to a ground plane. The module then performs a nearest neighbor search to locate a subset of the points within the filtered point cloud data that correspond to the physical object. Based on this subset, the module projects the subset of points onto the ground plane to generate a two-dimensional boundary. The two-dimensional boundary is then extruded based on a height determined from a point having a maximum distance from the ground plane from the filtered cloud point data.

Abstract: Techniques related to performing object or person association or correspondence in multi-view video are discussed. Such techniques include determining correspondences at a particular time instance based on separately optimizing correspondence sub-matrices for distance sub-matrices based on two-way minimum distance pairs between frame pairs, generating and fusing tracklets across time instances, and adjusting correspondence, after such tracklet processing, via elimination of outlier object positions and rearrangement of object correspondence.

Abstract: Methods and systems for generating three-dimensional (3D) models and facial hair models representative of subjects (e.g., actors or actresses) using facial scanning technology. Initial subject facial data, including facial frames and facial performance frames (e.g., images of the subject collected from a capture system) can be used to accurately predict the structure of the subject's face underneath their facial hair to produce a reference 3D facial shape of the subject. Likewise, image processing techniques can be used to identify facial hairs and generate a reference facial hair model. The reference 3D facial shape and reference facial hair mode can subsequently be used to generate performance 3D facial shapes and a performance facial hair model corresponding to a performance by the subject (e.g., reciting dialog).

Abstract: Systems, computer program products, and methods are described herein for preventing synthetic misappropriation events over an electronic network.

Abstract: A method for execution by a computing entity for creating first and second learning objects for an assembly topic. The method further includes rendering an illustrative asset for the learning objects to produce a set of illustrative asset video frames. The method further includes including a common subset of the illustrative asset video frames along with unique remaining portions of descriptive asset video frames in the learning objects. The method further includes outputting the descriptive asset video frames to facilitate interactive consumption by a learning entity. The method further includes determining learning assessment results associated with the interactive consumption by the learning entity.

Abstract: Systems and methods for detecting trailer angle are provided. In one aspect, an in-vehicle control system includes an optical sensor configured to be mounted on a tractor so as to face a trailer coupled to the tractor, the optical sensor further configured to generate optical data indicative of an angle formed between the trailer and the tractor. The system further includes a processor and a computer-readable memory in communication with the processor and having stored thereon computer-executable instructions to cause the processor to receive the optical data from the optical sensor, determine at least one candidate plane representative of a surface of the trailer visible in the optical data based on the optical data, and determine an angle between the trailer and the tractor based on the at least one candidate plane.

Abstract: A graphics processing apparatus comprising bounding volume hierarchy (BVH) construction circuitry to perform a spatial analysis and temporal analysis related to a plurality of input primitives and responsively generate a BVH comprising spatial, temporal, and spatial-temporal components that are hierarchically arranged, wherein the spatial components include a plurality of spatial nodes with children, the spatial nodes bounding the children using spatial bounds, and the temporal components comprise temporal nodes with children, the temporal nodes bounding their children using temporal bounds and the spatial-temporal components comprise spatial-temporal nodes with children, the spatial-temporal nodes bounding their children using spatial and temporal bounds; and ray traversal/intersection circuitry to traverse a ray or a set of rays through the BVH in accordance with the spatial and temporal components.

Abstract: Embodiments of the present disclosure are directed to methods and systems for generating three-dimensional (3D) models and facial hair models representative of subjects (e.g., actors or actresses) using facial scanning technology. Methods accord to embodiments may be useful for performing facial capture on subjects with dense facial hair. Initial subject facial data, including facial frames and facial performance frames (e.g., images of the subject collected from a capture system) can be used to accurately predict the structure of the subject's face underneath their facial hair to produce a reference 3D facial shape of the subject. Likewise, image processing techniques can be used to identify facial hairs and generate a reference facial hair model. The reference 3D facial shape and reference facial hair mode can subsequently be used to generate performance 3D facial shapes and a performance facial hair model corresponding to a performance by the subject (e.g., reciting dialog).

Abstract: This disclosure describes one or more implementations of a digital image semantic layout manipulation system that generates refined digital images resembling the style of one or more input images while following the structure of an edited semantic layout. For example, in various implementations, the digital image semantic layout manipulation system builds and utilizes a sparse attention warped image neural network to generate high-resolution warped images and a digital image layout neural network to enhance and refine the high-resolution warped digital image into a realistic and accurate refined digital image.

Abstract: Systems, methods, and a computer readable medium are provided for determining a minimum geometric dimension of an indication of an object being inspected using ultrasonic data. The system can include a computing device configured to receive ultrasonic data from an ultrasonic inspection device and to determine a contour of at least one indication of a defect. The computing device can apply a geometric template figure to the determined contour such that the geometric template figure is enclosed by the contour. At least one minimum geometric dimension of the indication can be determined based on determining a maximum dimension of the geometric template figure enclosed by the contour. The computing device can provide the at least one minimum geometric dimension of the indication.

Abstract: A method for encoding attributes of points of a point cloud, includes: determining a true transform coefficient by applying RAHT to attributes of a present node; determining a difference between attributes of a present parent node and each parent node of a first set of parent nodes sharing a face or an edge with the present node; selecting a second set of parent nodes from the first set of parent nodes according to the difference; determining a predicted value for the attributes of the present node according to attributes of the second set of parent nodes; determining a predicted transform coefficient by applying the RAHT to the predicted value of the attributes of the present node; determining a residual from the true transform coefficient and the predicted transform coefficient; and encoding the residual to produce encoded data of attributes of the point cloud for a bitstream.

Abstract: The present teaching relates to method, system, medium, and implementations for region boundary identification and overlay display. An input associated with a 3D object is received. A 3D volumetric model is obtained for the 3D object with multiple regions, each of which includes multiple labeled voxels. A mesh representation is generated for the surface of the 3D object. Region boundaries on surface of the 3D object are identified based on the 3D volumetric model and the mesh representation. The 3D object is rendered, and the region boundaries are overlaid on the rendered 3D object.

Abstract: Various implementations disclosed herein include devices, systems, and methods that generates a stereo view of a three-dimensional (3D) environment by rendering a first eye view and reusing pixels from the first eye view for a second eye view based on a disparity indicative characteristic (e.g., identifying regions of pixel difference/similarity in the views). For example, an example process may include rendering a first view for a first viewpoint (e.g., a left eye view) of a three-dimensional (3D) environment. The process may further include estimating differences between the first view and a second view for a second viewpoint (e.g., a right eye view) of the 3D environment. The process may further include rendering the second view for the second viewpoint based on the estimated differences.

Abstract: A three-dimensional display system, a driving circuit, and a display method are provided. The three-dimensional display system includes an eye tracking module, a driving circuit, and a host device. The eye tracking module is configured to generate eye tracking data including a scene image and a scene depth map, and perform eye detection to output an eye position data and an eye depth data. The driving circuit is coupled to the eye tracking module, and configured to receive the eye position data and the eye depth data. The host device is coupled to the driving circuit, and configured to provide original three-dimensional image data. The driving circuit is further configured to dynamically adjust the original three-dimensional image data to generate an adjusted three-dimensional image data according to the eye position data and the eye depth data.

Abstract: A system for updating continuous image alignment of separate cameras identifies a previous alignment matrix associated with a previous frame pair captured at one or more previous timepoints by a reference camera and a match camera. The previous alignment matrix is based on visual correspondences in the previous frame pair. The system also identifies a current matrix associated with a current frame pair captured at one or more current timepoints by the reference camera and the match camera. The current matrix is based on visual correspondences in the current frame pair. The system also identifies a difference value associated with the reference camera or the match camera relative to the one or more previous timepoints and the one or more current timepoints. The system also generates an updated alignment matrix by using the previous alignment matrix, the current matrix, and the difference value as inputs.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media configured to determine an estimated volume of an object captured by a three-dimensional (3D) point cloud. A 3D point cloud comprising a plurality of 3D points and a reference plane in spatial relation to the 3D point cloud is received. A 2D grid of bins is configured along the reference plane, wherein each bin of the 2D grid comprises a length and width that extends along the reference plane. For each bin of the 2D grid, a number of 3D points in the bin and a height of the bin from the reference plane is determined. An estimated volume of an object captured by the 3D point cloud based on the calculated number of 3D points in each bin and the height of each bin.

Abstract: An apparatus includes a memory for storing image data; and processing circuitry in communication with the memory. The processing circuitry is configured to generate a respective context vector for each pixel of the image data; generate a respective initial depth distribution for each pixel of the image data; and determine, for each pixel of the image data, a respective predicted depth peakiness factor based on the respective initial depth distribution, the respective predicted depth peakiness factor indicating a confidence of a depth for the pixel. The processing circuitry is also configured to determine a respective final depth distribution for each pixel based on the respective predicted depth peakiness factor and the respective initial depth distribution; and generate a bird's eye view (BEV) image using the respective final depth distribution for each pixel of the image data and the respective context vector for each pixel of the image data.

Abstract: In various example embodiments, techniques are provided for crack detection, assessment and visualization that utilize deep learning in combination with a 3D mesh model. Deep learning is applied to a set of 2D images of infrastructure to identify and segment surface cracks. For example, a Faster region-based convolutional neural network (Faster-RCNN) may identify surface cracks and a structured random forest edge detection (SFRED) technique may segment the identified surface cracks. Alternatively, a Mask region-based convolutional neural network (Mask-RCNN) may identify and segment surface cracks in parallel. Photogrammetry is used to generate a textured three-dimensional (3D) mesh model of the infrastructure from the 2D images. A texture cover of the 3D mesh model is analyzed to determine quantitative measures of identified surface cracks. The 3D mesh model is displayed to provide a visualization of identified surface cracks and facilitate inspection of the infrastructure.

Abstract: A wearable device outputting a sound for an object of interest and a method for controlling the same are disclosed. In an embodiment, a wearable device may comprise at least one microphone, at least one speaker, and at least one processor. The at least one processor may be configured to identify an object of interest of a user wearing the wearable device, obtain a sound signal generated from the identified object of interest using the at least one microphone, and output the sound signal generated from the object of interest through the at least one speaker or output a sound related to the object of interest through the at least one speaker, based on a sensitivity of the obtained sound signal.

Abstract: A ray-free dental X-ray periapical film virtual imaging method based on virtual reality (VR) includes: constructing a VR positioning system, and tracing a position of a tracker bonded bound with a tube of a dental film machine and a spatial attitude matrix in real time; scanning and reconstructing a digital three-dimensional (3D) model of dentition; respectively setting different materials and transparency for a shell of a tooth model and an internal pulp cavity; constructing a virtual environment of a simulated oral cavity; assigning an attitude and position of the tracker to a virtual camera by using a network communication module, and controlling the virtual camera to move; placing the tracker in a specific position and orientation to calibrate so as to obtain a position coordinate of a dentition model in the virtual environment; and aligning the tube to teeth, and rendering a virtual periapical film.

Abstract: There is provided an information processing device including a data acquisition unit that acquires sensing data of a real object, a parameter acquisition unit that acquires a predetermined parameter, and an object generation unit that extracts a feature amount from the sensing data and generates a virtual object based on the feature amount, in which the object generation unit adjusts the virtual object according to the predetermined parameter.

Abstract: A method for wireless data transmission and reconstruction includes receiving data from a vehicle, extracting key frames from the data, and encoding, using an encoder of a variable autoencoder, the key frames of the data into a latent space to generate compressed data. The method also includes transmitting the compressed data from the vehicle to a remote server. The method includes generating, using a decoder of the variable autoencoder, data points from the compressed data, where the data points are representative of the data received from the vehicle.

Abstract: A method for acquiring an object's attention information includes: displaying a three-dimensional (3D) virtual image in a virtual scene, the 3D virtual image being a 3D image corresponding to a virtual object in the virtual scene mapped from a physical object; determining a target object of the 3D virtual image displayed in a display area; and based on the target object, determining an attention focus object of the 3D virtual image, the attention focus object belonging to at least a part of the 3D virtual image.

Abstract: Methods and systems described herein are directed to automatedly detecting a vehicle accident occurrence based on a generated accident suspicion. An accident detection system can retrieve a myriad of information as data relating to a driver or a vehicle of the driver. The retrieved information can be assessed to determine assignment of a suspicion of a vehicle accident occurrence. The suspicion assignment can be based on, with respect to historical insurance data, predetermined thresholds and/or machine learning for the retrieved information. The retrieved information can be verified by auxiliary data remote from the driver or the vehicle of the driver. The accident detection system can verify the suspicion by dispatching one or more notifications to the driver, and in the absence of response, determine whether the suspicion is true via the collection of information for a suspected location of the accident or from individuals associated with the driver.

Abstract: A method is disclosed for improving accuracy of visual field testing in head-mounted displays. The method includes retrieving a visual field testing pattern for a head-mounted display, the visual field testing pattern including stimuli displayed at respective locations in a visual field of the head-mounted display. The visual field testing pattern is generated on the head-mounted display. Data is retrieved from a tilt sensor, located at the head-mounted display, for detecting degrees of head tilt of a user wearing the head-mounted display and the degree of head tilt is determined. A comparison is made between the degree of head tilt of the user to a first threshold degree. In response to the degree of head tilt of the user meeting or exceeding the first threshold degree, a recommendation to the user is generated for display on the head-mounted display.

Abstract: A method of controlling a virtual object in a virtual scene is performed by a computer device. The method includes: displaying a virtual scene picture including a first virtual object, the first virtual object including a first body part equipped with a first virtual prop and a second body part equipped with a second virtual prop; in response to receiving a first trigger operation on the first virtual object, controlling the first virtual object to perform a target action based on the first virtual prop equipped at the first body part of the first virtual object; and in response to receiving a second trigger operation within a specified duration after the first trigger operation is received, controlling the first virtual object to perform the target action based on the second virtual prop equipped at the second body part of the first virtual object.

Abstract: According to an aspect of the disclosure, a method of generating a low-poly mesh for a three-dimensional (3D) model is provided. In the method, an edge-collapse operation is performed on each of a plurality of edges of an input mesh to generate a simplified mesh in which a number of faces of the input mesh is reduced by the edge-collapse operation. A position of at least one vertex of the simplified mesh is updated to generate an updated mesh in which a distance between the simplified mesh and the input mesh is reduced. The low-poly mesh is generated based on an aligned mesh in which positions of vertices of the updated mesh are optimized by minimizing a shape difference between the simplified mesh and the updated mesh.

Abstract: Techniques are described for using computing devices to perform automated operations related to providing visual information of multiple types in an integrated manner about a building or other defined area. The techniques may include generating and presenting a GUI (graphical user interface) on a client device that includes a computer model of the building's interior with one or more first types of information (e.g., in a first pane of the GUI), and simultaneously presenting other types of related information about the building interior (e.g., in additional separate GUI pane(s)) that is coordinated with the first type(s) of information being currently displayed. The computer model may be a 3D (three-dimensional) or 2.5D representation generated after the house is built and showing the actual house's interior (e.g., walls, furniture, etc.), and may be displayed to a user of a client computing device in a displayed GUI with various user-selectable controls.

Abstract: Methods and devices are disclosed for intra-operative viewing of pre- and intra-operative 3D patient images.

Abstract: In one implementation, a method of generating an affordance linked to an SR representation of an item is performed in a device including one or more processors, a non-transitory memory, and one or more displays. The method includes identifying an item; generating an affordance-item pair that corresponds to the item; detecting an input selecting the affordance-item pair; and displaying, on the one or more displays, a simulated reality (SR) environment that includes an SR representation of the item in response to detecting the user input selecting the affordance-item pair. In some implementations, the method includes obtaining an image data frame that includes the item.

Abstract: Systems and methods for self-supervised learning for visual odometry using camera images, may include: estimating correspondences between keypoints of a target camera image and keypoints of a context camera image; based on the keypoint correspondences, lifting a set of 2D keypoints to 3D, using a neural camera model; and projecting the 3D keypoints into the context camera image using the neural camera model. Some embodiments may use the neural camera model to achieve the lifting and projecting of keypoints without a known or calibrated camera model.

Abstract: A network computer provides interactive graphic design system instructions to a user computing device, causing the user computing device to render a design interface and provide an input interface at the user computing device. The user computing device interprets an input action, the input action comprising selecting a selection of a plurality of objects using the input interface. For a property, the user computing device identifies a set of one or more property values corresponding to the property for objects in the plurality of objects. The user computing device displays the set of one or more property values. The user computing device receives user input specifying a selected property value and user input specifying a new value for the selected property value. The user computing device updates the property for each object of the plurality of objects having the selected property value to reflect the new value.

Abstract: Devices, systems, methods, and media are disclosed for performing an object detection task comprising: obtaining a semantic segmentation map representing a real-world space, the semantic segmentation map including an array of elements that each represent a respective location in the real-world space and are assigned a respective element classification label; clustering groups of the elements based on the assigned respective element classification labels to identify at least a first cluster of elements that have each been assigned the same respective element classification label; generating, based on a location of the first cluster within the semantic segmentation map, at least one anchor that defines a respective probable object location of a first dynamic object; and generating, based on the semantic segmentation map and the at least one anchor, a respective bounding box and object instance classification label for the first dynamic object.

Abstract: A technique is directed to methods and systems of virtual site inspections. In some embodiments, a network operator navigates a drone which captures image data of equipment and layout of a site. The image data is processed and used to generate a 3D model of the site. A network operator virtually installs new equipment in the virtual representation of the site, and presents the 3D model of the site, with the new equipment in the proposed location, to a permitting authority. The permitting authority can review the 3D model of the new equipment at the site and approve or deny authorization for the network operator to physically install the equipment at the site. After the new equipment is installed, a network operator can capture image data of the installed equipment at the site to prove to the permitting authority that the equipment was installed at the site according to regulation.

Abstract: An illustrative, non-limiting method for resolving Region-On-Interest (ROI) overlaps includes receiving Simultaneous Localization and Mapping (SLAM) data obtained by a plurality of co-located Head-Mounted Devices (HMD), where the SLAM data comprises a plurality of landmarks and each HMD has an Information Handling System (IHS) in communication therewith. Each IHS may produce a subset of the plurality of landmarks based upon a respective HMD's SLAM data, and each IHS is: local with respect to the plurality of HMDs, at an edge of a network serving an HMD, or on a cloud. The method may include identifying an overlap between a first landmark produced by a first IHS and a second landmark produced by a second IHS, selecting between the first and second landmarks, at least in part, based upon the locations of the first and second IHSs, and rendering a map for display by a given HMD using the selected landmark.

Abstract: The present invention generally pertains to systems, methods, and non-transitory processor-readable mediums for ensuring a match between geometry and texture when playing volumetric videos in a web browser.

Abstract: The disclosure provides a virtual prop control method and apparatus, a storage medium, and an electronic device. The method includes displaying a target virtual throw prop controlled by a first virtual operation object in a target game application. The method also includes controlling the throwing of the target virtual throw prop based on a target throw operation. The method also includes setting a target region at which the virtual throw prop is thrown as a damage detection region, with the damage detection region configured to reduce hit points of at least one target virtual operation object located in the damage detection region. Based on a second virtual operation object being included in the at least one target virtual operation object and entering the target region, the method also includes reducing hit points of the second virtual operation object.