Abstract: A bounding volume is used to approximate the space an object occupies. If a more precise understanding beyond an approximation is required, the object itself is then inspected to determine what space it occupies. Often, a simple volume (such as an axis-aligned box) is used as bounding volume to approximate the space occupied by an object. But objects can be arbitrary, complicated shapes. So a simple volume often does not fit the object very well. That causes a lot of space that is not occupied by the object to be included in the approximation of the space being occupied by the object. Hardware-based techniques are disclosed herein, for example, for efficiently using multiple bounding volumes (such as axis-aligned bounding boxes) to represent, in effect, an arbitrarily shaped bounding volume to better fit the object, and for using such arbitrary bounding volumes to improve performance in applications such as ray tracing.

Abstract: A computer-implemented method for generating a mask for a light source in a virtual scene includes determining a bounding box for the scene based on a frustum of a virtual camera and generating a path-traced image of the scene within the bounding box. Light paths emitted by the camera and exiting at the light source are stored, and objects poorly sampled by the light source are removed from the scene. An initial mask for the light source is generated from the density of light paths exiting at that position on the light source. The initial mask is refined by averaging in the light path density at each point on the light source for subsequent images.

Abstract: According to the present invention, techniques, including a method, and system, for creating a tangible object having customized features and digitizing the object for manipulation and use by a child user are provided. In particular, the invention provides a method for assembling customized features onto a tangible object and using artificial intelligence techniques for digitizing the object onto a computing device for manipulation and use by a child user.

Abstract: An acquisition unit acquires operation data for expressing real-time motions of a plurality of robotic devices. A virtual robot control unit uses the operation data regarding the plurality robotic devices to move a plurality of virtual robots corresponding to the plurality of robotic devices in the same virtual space. An image generating unit generates an image of the virtual space in which the plurality of virtual robots are in motion. The virtual robot control unit makes the plurality of virtual robots compete in a virtual sports venue.

Abstract: A computer simulation object such as a chair is described by voice or photo input to render a 2D image. Machine learning may be used to convert voice input to the 2D image. The 2D image is converted to a 3D asset and the 3D asset or portions thereof are used in the computer simulation, such as a computer game, as the object such as a chair.

Abstract: Motion retargeting with kinematic constraints is implemented in a digital medium environment. Generally, the described techniques provide for retargeting motion data from a source motion sequence to a target visual object. Accordingly, the described techniques position a target visual object in a defined visual environment to identify kinematic constraints of the target object relative to the visual environment. Further, the described techniques utilize an iterative optimization process that fine tunes the conformance of retargeted motion of a target object to the identified kinematic constraints.

Abstract: Prior art digital painting applications create strokes by repeatedly applying a stamp at incremental positions along a path. Such applications led to uniform marks being made by the mark making tool along the stroke as the same process as applied by the software application at each point along the stroke. However, some areas of a painting involve repetitive strokes, which can take a lot of time for the user. Embodiments of the invention provide the user with automated methods and systems that maintain a level of control the user seeks or needs whilst removing the repetitive nature of the area filling thereby saving the user time whilst delivering high quality results. The invention fills the area to be filled to painted with actual, individual strokes, offering the advantages of overlapping strokes and mixing paint for an increased “natural” media look and feel.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for generating enriched light sources by utilizing surface-centric representations of three-dimensional surfaces. Specifically, the disclosed system utilizes a surface-centric re-parameterization that combines geometric and algebraic components of a sphere to model different light source types in a continuous range of lighting configurations. The disclosed systems utilize a set of intuitive parameters to determine a shape and emission parameters for generating an enriched light source. Additionally, the disclosed system provides a set of interactive light source controls to modify a position, orientation, shape, emittance, and lighting attenuation over distance of a light source within a three-dimensional environment. The disclosed system determines the light source controls based on sets of three-dimensional interaction primitives to control one or more parameters of the light source.

Abstract: A three-dimensional model processing method, an electronic device, and a storage medium are provided, which are related to fields of deep learning, augmented reality, and the like. The specific implementation includes: generating a target virtual three-dimensional model based on a target model template; generating a target picture based on graphic and textual information and a preset network; and determining a superposition processing result of the target virtual three-dimensional model based on the target virtual three-dimensional model and the target picture.

Abstract: An illumination rendering method and apparatus includes obtaining a first picture at a target viewing angle from a virtual three-dimensional (3D) scene. The first picture includes a virtual object to be subject to illumination rendering in the virtual 3D scene at the target viewing angle. A target virtual light source point set is determined that performs illumination rendering on the virtual object in the first picture. Illumination rendering is performed on the virtual object in the first picture by using the target virtual light source point set. This illumination rendering improves efficiency in rendering on the virtual object in the virtual 3D scene.

Abstract: An apparatus and method for scheduling threads on local and remote processing resources.

Abstract: A model learning device provided with: an error-added movement locus generation unit for adding an error to movement locus data for action learning that represents the movement locus of a subject and to which is assigned an action label that is information representing the action of the subject, and thereby generating error-added movement locus data; and an action recognition model learning unit for learning a model, using at least the error-added movement locus data and learning data created on the basis of the action label, by which model the action of some subject can be recognized from the movement locus of the subject. Thus, it is possible to provide a model by which the action of a subject can be recognized with high accuracy on the basis of the movement locus of the subject estimated using a camera image.

Abstract: Disclosed herein is a web-based videoconference system that allows for video avatars to navigate within a virtual environment. Various methods for efficient modeling, rendering, and shading are disclosed herein.

Abstract: A design system generates a design for an eyewear frame customized for a user. The eyewear frame provides audio content to the user. The design system captures anthropometric data of the user. Using machine learning techniques, the design system determines features of the user from the anthropometric data and generates a three dimensional (3D) geometry of the portion of the user's head. A design for the customized eyewear frame is generated based on the 3D geometry of the portion of the user's head. The design of the customized eyewear frame includes design parameters that describe a shape of a coupling element that ensures the eyewear frame is customized to the user's head.

Abstract: A system and method for translating a 3D image into a 2D image is provided. A 3D image of voxels and properties associated with the voxels is analyzed. Each of the voxels in the 3D image is scaled to match a size of an output tile for a 2D image. Colors are added to the 2D image based on the properties of the voxels. Contour lines are added to the 2D image based on changes in altitude represented by the 3D image. The 2D image is output.

Abstract: A plurality of computing devices are communicatively coupled to each other via a network, and each of the plurality of computing devices is operably coupled to one or more of a plurality of storage devices. A plurality of failure resilient stripes is distributed across the plurality of storage devices such that each of the plurality of failure resilient stripes spans a plurality of the storage devices. A graphics processing unit is operable to access data files from the failure resilient stripes, while bypassing a kernel page cache. Furthermore, these data files may be accessed in parallel by the graphics processing unit.

Abstract: The present disclosure provides systems and methods that combine physics-based systems with machine learning to generate synthetic LiDAR data that accurately mimics a real-world LiDAR sensor system. In particular, aspects of the present disclosure combine physics-based rendering with machine-learned models such as deep neural networks to simulate both the geometry and intensity of the LiDAR sensor. As one example, a physics-based ray casting approach can be used on a three-dimensional map of an environment to generate an initial three-dimensional point cloud that mimics LiDAR data. According to an aspect of the present disclosure, a machine-learned model can predict one or more dropout probabilities for one or more of the points in the initial three-dimensional point cloud, thereby generating an adjusted three-dimensional point cloud which more realistically simulates real-world LiDAR data.

Abstract: A system for feature relevance visualization optimization is provided. The system comprises a controller configured for modifying placement of features in a relevance visualization. The controller is further configured to: receive interaction data comprising one or more features positioned in the relevance visualization, wherein the one or more features are defined and measurable properties of the interaction data; construct a logical grouping of the one or more features based on a type of each of the one or more features, wherein similar features are collocated in the relevance visualization; construct a machine learning-based grouping of the one or more features based on relevance calculations for the one or more features; combine the logical grouping and the machine learning-based grouping to generate a combined feature placement, wherein the one or more features are repositioned in the relevance visualization; and output the relevance visualization having the combined feature placement.

Abstract: Systems, methods, and computer-readable media are described herein to model divergent beam ray paths between locations on a roof (e.g., of a structure) and modeled locations of the sun at different times of the day and different days during a week, month, year, or another time period. A graphical user interface allows for visualization of the modeled ray paths and graphical manipulation of the resolution and parameters of the modeling process.

Abstract: The present invention relates to a computer implemented system for animating a virtual object or digital entity. It has particular relevance to animation using biologically based models, or behavioural models particularly neurobehavioural models. There is provided a plurality of modules having a computational element and a graphical element. The modules are arranged in a required structure and have at least one variable and being associated with at least one connector. The connectors link variables between modules across the structure, and the modules together provide a neurobehavioural model. There is also provided a method of controlling a digital entity in response to an external stimulus.