Abstract: A system is provided that stores a neural network model trained on a training dataset which indicates an association between first graphic information associated with one or more first objects and corresponding first plurality of depth images. The system receives second graphic information that corresponds to the one or more first objects. The system further applies the trained neural network model received on the second graphic information. The system predicts a first depth image from the first plurality of depth images based on the application of the trained neural network model on the received second graphic information. The system extracts first depth information from the predicted first depth image. The first depth information corresponds to the one or more first objects indicated by the second graphic information.

Abstract: A method for generating depth information of a street view image using a two-dimensional (2D) image includes calculating distance information of an object on a 2D map using the 2D map corresponding to a street view image; extracting semantic information on the object from the street view image; and generating depth information of the street view image based on the distance information and the semantic information.

Abstract: Method for determining imaging ratio of flexible panel, electronic device and storage medium are provided. A first surface of the flexible panel is adapted to be placed with an object to be imaged, an image capturing device is disposed on the second surface, and a curvature radius of the first surface is adjustable. The method includes: for a light source in the image capturing device, acquiring a real-time image formed on the image capturing device after a light signal emitted from the light source is reflected by the first surface; determining a real-time curvature radius of the first surface based on the real-time image; and calculating the imaging ratio based on the real-time curvature radius and thickness of the flexible panel. The imaging ratio is determined based on bending degree of the flexible panel in real time to acquire an image with size approximate to actual size of the object.

Abstract: An information processing system that acquires image data captured by an image capturing device; identifies a density of distribution of a plurality of feature points in the acquired image data; and controls a display to display guidance information based on the density of the distribution of the plurality of feature points.

Abstract: Methods and systems are disclosed for providing displays of maps or mapping objects in a mapping application or system, wherein transitions between the maps or mapping objects is provided seamlessly and/or with orientation(s) preserved based a user interface device control actuation.

Abstract: A method for reducing color leaking artefacts in an image formed by projection processing from a 3D point cloud comprises: receiving an input image comprising the 3D point cloud; classifying the cloud into a plurality of surface patches; projecting the patches onto a plane to form a first 2D image; processing the first 2D image, by coding, transmitting and decoding, to form a final 2D image; and providing the final 2D image as an output. Processing includes independent patch processing to reduce inter-patch color leakage in the final 2D image, the independent patch processing including chroma sub-sampling pixels within each of the projected patches in the first 2D image separately; recombining the chroma sub-sampled patches to form a second 2D image; and compressing the second 2D image.

Abstract: Provided is an information processing device that acquires appearance information associated with an appearance of a target object to be a target of drawing, and determines a parameter associated with a resolution of the target object and used in the drawing of a condition of the target object as viewed from a given viewpoint, on the basis of a color distribution on the surface of the target object and information associated with a distance from the viewpoint to the target object, the color distribution being specified from the acquired appearance information.

Abstract: A point cloud information generation apparatus according to an embodiment includes a 360-degree image acquirer configured to acquire a 360-degree image of a three-dimensional (3D) space, a point cloud information generator configured to generate first point cloud information for the 3D space from the 360-degree image, and a viewpoint orientation image generator configured to generate a plurality of viewpoint orientation images from the 360-degree image based on a reference viewpoint in the 360-degree image, wherein the point cloud information generator further configured to generate second point cloud information for the 3D space from the plurality of viewpoint orientation images.

Abstract: An animation system is provided for generating an animation control rig for character development, configured to manipulate a skeleton of an animated character. Hierarchical representation of puppets includes groups of functions related in a hierarchy according to character specialization for creating the animated rig are derived using base functions of a core component node. The hierarchical nodes may include an archetype node, at least one appendage node, and at least one feature node. In some implementations, portions of a hierarchical node, including the functions from the core component node, may be shared to generate different animation rigs for a variety of characters. In some implementations, portions of a hierarchical node, including the component node functions, may be reused to build similar appendages of a same animation rig.

Abstract: A point cloud model reconstruction method, apparatus, and system are disclosed. In an embodiment, the method includes randomly selecting four non-coplanar reconstruction points in a point cloud model; iteratively selecting other reconstruction points successively until a reconstruction condition is met, and reconstructing the point cloud model based on all reconstruction points. A reduction degree of a reconstructed point cloud model is: Reward=?k·(PointNum?4)+g·VolRate, where PointNum represents a number of current selected reconstruction points, VolRate represents a ratio of a volume of a solid shape, k represents a proportion of the number of the selected points, and g represents a proportion of the volume ratio. The reconstruction method further includes adjusting a ratio of g to k based on user requirements to adjust the reconstruction condition.

Abstract: In one implementation, a method of providing contextual computer-generated reality (CGR) digital assistant is performed at a device provided to deliver a CGR scene, the device including one or more processors, non-transitory memory, and one or more displays. The method includes obtaining image data characterizing a field of view captured by an image sensor. The method further includes identifying in the image data a contextual trigger for one of a plurality of contextual CGR digital assistants. The method additionally includes selecting a visual representation of the one of the plurality of contextual CGR digital assistants, where the visual representation is selected based on context and in response to identifying the contextual trigger. The method also includes presenting the CGR scene by displaying the visual representation of the one of the plurality of contextual CGR digital assistants, where the visual representation provides information associated with the contextual trigger.

Abstract: A technique for classifying a ray tracing intersection with a triangle edge or vertex avoids either rendering holes or multiple hits of the same ray for different triangles. The technique employs a tie-breaking scheme in which certain types of edges are classified as hits and certain types of edges are classified as misses. The test is performed in a coordinate space that comprises a projection into the viewspace of the ray, and thus where the ray direction has a non-zero magnitude in one axis (e.g., z) but a zero magnitude in the two other axes. In this coordinate space, edges are classified as one of top, bottom, left, and right, and an intersection on an edge counts as a hit if the intersection hits a top or left edge, but a miss if the intersection hits a bottom or right edge. Vertices are processed in a related manner.

Abstract: Methods and systems are described. A system includes a redundant shader pipe array that performs rendering calculations on data provided thereto and a shader pipe array that includes a plurality of shader pipes, each of which performs rendering calculations on data provided thereto. The system also includes a circuit that identifies a defective shader pipe of the plurality of shader pipes in the shader pipe array. In response to identifying the defective shader pipe, the circuit generates a signal. The system also includes a redundant shader switch. The redundant shader switch receives the generated signal, and, in response to receiving the generated signal, transfers the data for the defective shader pipe to the redundant shader pipe array.

Abstract: A method for encoding a point cloud feature includes: obtaining an original point cloud, generating point-wise hybrid scale voxel features by conducting hybrid scale voxelization on the original point cloud; generating voxel-wise attention features using spatial features and voxel features of points in a voxel at each voxel scale; aggregating the hybrid scale voxel features and the attention features to obtain voxel-wise projection scale information; and mapping the voxel-wise projection scale information to pseudo image features at projection scales. In this way, points can be retained during voxelization, and a feature encoding network is guided by the attention features to be more attentive to interrelationships between points in the voxels, thereby increasing accuracy of three-dimensional object detection.

Abstract: An integrated circuit (IC) package apparatus is disclosed. The IC package includes one or more processing units and a bridge, mounted below the one or more processing unit, including one or more arithmetic logic units (ALUs) to perform atomic operations.

Abstract: A method for displaying measurement results comprises the steps of: displaying a first measurement result in a first tab window; creating a second tab window; changing at least one measurement device setting to display a second measurement result in the second tab window; and storing the second tab window.

Abstract: A simulator computes surfaces corresponding to objects in a simulation by computing covariance matrices for particles that use a square root of a diagonal matrix. The simulator might operate by receiving positions and sizes for each particle of a plurality of particles comprising a first object, identifying a subset of the plurality of particles whose positions are proximate to a first surface of the first object, deforming particles of the subset of the plurality of particles by generating a covariance matrix for each particle of the plurality of particles, using a square root of a diagonal matrix, wherein the diagonal matrix is a diagonal matrix of neighboring particles for each particle of the plurality of particles, and computing the first surface of the first object based on the deformed particles.

Abstract: A method for generating an electromagnetic signal is disclosed. The method comprises the following steps: An image having pixels is at least one of received and generated, wherein each one of the pixels has one of at least two different pixel values. At least one of a spectrogram of an electromagnetic signal and characteristic parameters of the electromagnetic signal is determined based on at least one of the image and the pixel values. The electromagnetic signal is generated based on at least one of the spectrogram and the characteristic parameters.

Abstract: In some embodiments, an image manipulation application receives an incomplete image that includes a hole area lacking image content. The image manipulation application applies a contour detection operation to the incomplete image to detect an incomplete contour of a foreground object in the incomplete image. The hole area prevents the contour detection operation from detecting a completed contour of the foreground object. The image manipulation application further applies a contour completion model to the incomplete contour and the incomplete image to generate the completed contour for the foreground object. Based on the completed contour and the incomplete image, the image manipulation application generates image content for the hole area to generate a completed image.

Abstract: Disclosed herein are methods, computer apparatus, and computer programs for creating two-dimensional (2D) image sequences with the appearance of three-dimensional (3D) rotation and depth.