Abstract: An exemplary system receives first data representing one or more buildings, and generates second data representing the one or more buildings. Generating the second data includes, for each of the one or more buildings: (i) determining, based on the first data, a plurality of first edges defining an exterior surface of at least a portion of the building, where the first edges interconnect at a plurality of first points, (ii) encoding, in the second data, information corresponding to the quantity of the first points, (iii) encoding, in the second data, an absolute position of one of the first points, and (iv) for each of the remaining first points, encoding, in the second data, a position of that first point relative to a position of at least another one of the first points. The system outputs the second data.

Abstract: A computer system may identify a first position of a physical camera corresponding to a first time period. The computer system may render a first virtual scene for the first time period. The system may project the first scene onto a display surface to determine a first rendered image for the first time period. The computer system may receive a first camera image of the display surface from the camera during the first time period. The system may determine a first corrected position of the camera by comparing the first rendered image to the first camera image. The system may predict a second position of the camera corresponding to a second time period. The computer system may render a second virtual scene for the second time period. The system may project the second virtual scene onto the display surface to determine a second rendered image for the second time period.

Abstract: Certain embodiments involve a graphics manipulation application using brushstroke parameters that include a maximum alpha-deposition parameter and a fractional alpha-deposition parameter. For instance, the graphics manipulation application uses an alpha flow increment computed from the maximum alpha-deposition parameter and the fractional alpha-deposition parameter to compute an output canvas color. In some embodiments, if the current canvas opacity exceeds or equals the maximum alpha-deposition parameter, the current canvas opacity is selected as the output canvas opacity. Otherwise, the graphics manipulation application computes the output canvas opacity by increasing the current canvas opacity based on the alpha flow increment. The graphics manipulation application updates a canvas portion affected by a brushstroke input to include the output canvas opacity and the output canvas color.

Abstract: A method for securely displaying ASIL-relevant data on a display device of a motor vehicle, where the device includes a transmitter unit, a receiver unit, and a display unit to show the images generated by the receiver unit. Images having higher safety ratings are shown on the display unit with less modification by an image enhancement process in comparison with images having lower safety ratings. Information about the safety rating of an image to be displayed is introduced by the transmitter unit into a data stream by a classifying binary code in color bit information of at least one pixel of the image to be displayed via a pixel matrix, in order to control a change of the image during the image enhancement process in an image enhancer associated with an image-data-outputting receiver unit for images of all safety ratings.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and method that utilize a character animation neural network informed by motion and pose signatures to generate a digital video through person-specific appearance modeling and motion retargeting. In particular embodiments, the disclosed systems implement a character animation neural network that includes a pose embedding model to encode a pose signature into spatial pose features. The character animation neural network further includes a motion embedding model to encode a motion signature into motion features. In some embodiments, the disclosed systems utilize the motion features to refine per-frame pose features and improve temporal coherency. In certain implementations, the disclosed systems also utilize the motion features to demodulate neural network weights used to generate an image frame of a character in motion based on the refined pose features.

Abstract: Described herein is a computer implemented method for automatically grouping design elements on a page. The method includes: determining an initial set of design element groups; performing one or more design element grouping iterations, each including: calculating a set of pairwise relationship scores and determining, based on the set of pairwise relationship scores, whether any pairs of design element groups should be combined. In response to determining that a particular pair of design element groups should be combined the method further includes combining the particular pair of design element groups into a single design element group.

Abstract: Disclosed are a memory device and a read/write method of the memory device and, more particularly, a memory device and a read/write method of the memory device capable of reducing power consumption of a display device by reducing a storage operation and an output operation of the memory device for a plurality of pieces of pixel data.

Abstract: An information processing apparatus extracts colors used for an image, links each color to one of color groups including a first color group and a second color group, displays, in a first region of a UI, a representative color associated with a group, of the color groups, to which extracted color is linked, displays a color palette including one color in a second region of the UI, and replaces a color included in the image and belonging to the color group associated with the selected representative color with a color selected from the color palette. If the color groups include groups to which at least one extracted color is linked, representative colors respectively associated with the groups to which at least one of the extracted colors is linked are displayed in the first region.

Abstract: A pavement anti-skid performance evaluation method based on envelope feature is provided. A surface profile image of a to-be-tested piece is acquired as a blank background image. A motion trajectory image of a sliding piece on the to-be-tested piece is acquired. The blank background image is treated to obtain a surface texture profile curve of the to-be-tested piece. The motion trajectory image is differenced with the blank background image to obtain a difference image, which is treated to obtain a trajectory envelope curve of motion of the sliding piece on the to-be-tested piece. An arithmetic mean of the trajectory envelope curve and an arithmetic mean of the surface texture profile curve are calculated, and the anti-skid performance is evaluated based on a height difference ?h between above two arithmetic means. A pavement anti-skid performance evaluation device based on envelope feature is also provided.

Abstract: In a data processing system, when displaying a foveated image, a producer processing unit generates plural different resolution versions of the frame to be displayed. A display processor then generates a view orientation transformed output version of the frame to be displayed using data from the plural different resolution versions of the frame to be displayed generated by the producer processing unit based on data indicative of which resolution version of the frame is to be used for respective regions of the view orientation transformed output version of the frame to be displayed provided to the display processor.

Abstract: The present disclosure describes a system for fast generation of ray traced reflections of virtually augmented objects into a real-world image, specifically on reflective surfaces. The system utilizes a standard raster graphics pipeline.

Abstract: A method for acquiring a texture of a three-dimensional (3D) model includes: acquiring at least two 3D networks generated by a target object based on a plurality of angles, the at least two 3D networks including a first correspondence between point cloud information and color information of the target object, and first camera poses of the target object; acquiring an offset between 3D points used for recording the same position of the target object in the at least two 3D networks according to the first camera poses respectively included in the at least two 3D networks; updating the first correspondence according to the offset, to acquire a second correspondence between the point cloud information and the color information of the target object; and acquiring a surface color texture of a 3D model of the target object according to the second correspondence.

Abstract: Provided are an method for generating an animation and apparatus, an electronic device, and a computer-readable storage medium. The method for generating an animation comprises: determining a background image and a first foreground image of an original image (S110); respectively rotating, scaling and translating the first foreground image and a first 2D sticker image to obtain a second foreground image and a second 2D sticker image, wherein the first 2D sticker image is generated in advance on the basis of a predetermined coverage manner and according to the original image (S120); mixing the second foreground image with the background image to obtain a first mixed image (S130); and mixing the first mixed image with the second 2D sticker image to generate an animation of the original image (S140).

Abstract: Disclosed is an orthophoto map generation method based on a panoramic map, the method comprising: overlapping and fusing a panoramic map and panoramic field depth data when the panoramic map is photographed, such that each pixel of the panoramic map has a corresponding field depth value; acquiring a pitch angle and azimuth angle of a reference pixel relative to a photographing device, and in conjunction with a 360 degree feature of a panorama, calculating an azimuth angle and pitch angle, relative to a camera, of an object represented by each pixel; in conjunction with calculation results and geographic coordinates, determined by a positioning device when the panoramic map is photographed, of the camera, calculating a geographic position corresponding to the object represented by each pixel to form point cloud data.

Abstract: Systems and methods are provided for quantifying uncertainty of segmentation mask predictions made by machine learning models, where the uncertainty may be used to streamline an anatomical measurement workflow by automatically identifying less certain caliper placements. In one example, the current disclosure teaches receiving an image including a region of interest, determining a segmentation mask for the region of interest using a trained machine learning model, placing a caliper at a position within the image based on the segmentation mask, determining an uncertainty of the position of the caliper, and responding to the uncertainty of the position of the caliper being greater than a pre-determined threshold by displaying a visual indication of the position of the caliper via a display device and prompting a user to confirm or edit the position of the caliper.

Abstract: An AR system that leverages a pre-generated 3D model of the world to improve rendering of 3D graphics content for AR views of a scene, for example an AR view of the world in front of a moving vehicle. By leveraging the pre-generated 3D model, the AR system may use a variety of techniques to enhance the rendering capabilities of the system. The AR system may obtain pre-generated 3D data (e.g., 3D tiles) from a remote source (e.g., cloud-based storage), and may use this pre-generated 3D data (e.g., a combination of 3D mesh, textures, and other geometry information) to augment local data (e.g., a point cloud of data collected by vehicle sensors) to determine much more information about a scene, including information about occluded or distant regions of the scene, than is available from the local data.

Abstract: Provided are a method and apparatus for presenting image for a VR device, a device and a non-transitory computer-readable storage medium. The method for presenting image for a VR device includes steps of: acquiring input image data; establishing a correspondence between the input image data and output image data in a polar coordinate system, the polar coordinate system having a pole which is an intersection of a center of a field of view of the VR device and a display plane; obtaining image data to be presented according to the output image data; and presenting the image data to be presented on the basis of a convex lens.

Abstract: Disclosed is a graphics system and associated methodologies for selectively increasing the level-of-detail at specific parts of a mesh model based on a point cloud that provides a higher detailed representation of the same or similar three-dimensional (“3D”) object. The graphics system receives the mesh model and the point cloud of the 3D object. The graphics system determines a region-of-interest of the 3D object based in part on differences amongst points that represent part or all of the region-of-interest. The graphics system reconstructs the region-of-interest in the mesh model and generates a modified mesh model by modifying a first set of meshes representing the region-of-interest in the mesh model to a second set of meshes based on the positional elements of the point cloud points. The second set of meshes has more meshes and represents the region-of-interest at a higher level-of-detail than the first set of meshes.

Abstract: Methods and systems are disclosed for quantizing images using machine-learning. A plurality of input images are received from a sensor (e.g., a camera), wherein each input image includes a plurality of pixels. Utilizing an image-to-image machine-learning model, each pixel is assigned a new pixel color. Utilizing a mixer machine-learning model, each new pixel color is converted to one of a fixed number of colors to produce a plurality of quantized images, with each quantized image corresponding to one of the input images. A loss function is determined based on an alignment of each input image with its corresponding quantized image via a pre-trained reference machine-learning model. One or more parameters of the image-to-image machine-learning model and the mixer model are updated based on the loss function. The process repeats, with each iteration updating the parameters of the image-to-image machine-learning model and the mixer model, until convergence, resulting in trained models.

Abstract: Rendering system combines point sampling and volume sampling operations to produce rendering outputs. For example, to determine color information for a surface location in a 3-D scene, one or more point sampling operations are conducted in a volume around the surface location, and one or more sampling operations of volumetric light transport data are performed farther from the surface location. A transition zone between point sampling and volume sampling can be provided, in which both point and volume sampling operations are conducted. Data obtained from point and volume sampling operations can be blended in determining color information for the surface location. For example, point samples are obtained by tracing a ray for each point sample, to identify an intersection between another surface and the ray, to be shaded, and volume samples are obtained from a nested 3-D grids of volume elements expressing light transport data at different levels of granularity.