Abstract: A display device including a housing; a display unit accommodated in the housing; and a control unit configured to cause the display unit to operate in a speaker mode to play a song while the display unit is fully inserted in the housing, receive an image display command, according to the image display command, withdraw the display unit and display a first content corresponding to the image display command in a first region of the display unit, and display a second content of an audio controller for controlling the speaker mode in a second region of the display unit.

Abstract: There is provided an image processing device including: a data storage unit storing feature data indicating a feature of appearance of one or more physical objects; an environment map building unit for building an environment map based on an input image obtained by imaging a real space and the feature data, the environment map representing a position of a physical object present in the real space; a control unit for acquiring procedure data for a set of procedures of operation to be performed in the real space, the procedure data defining a correspondence between a direction for each procedure and position information designating a position at which the direction is to be displayed; and a superimposing unit for generating an output image by superimposing the direction for each procedure at a position in the input image determined based on the environment map and the position information, using the procedure data.

Abstract: A system may receive captured content identifying a first face of a user of a user device and media content identifying a second face of a person. The system may process the captured content and the media content, using a first machine learning model, to determine embeddings for the captured content and to identify landmarks in the media content. The system may combine the captured content with the media content, based on the landmarks and the embeddings, to generate combined content and to segment a combined face of the combined content, to replace the second face of the media content with the combined face, and to generate new media content that includes the combined face. The system may process the new media content, with a second machine learning model, to blend the combined face in the new media content and to generate final media content.

Abstract: A hardware-based traversal coprocessor provides acceleration of tree traversal operations searching for intersections between primitives represented in a tree data structure and a ray. The primitives may include opaque and alpha triangles used in generating a virtual scene. The hardware-based traversal coprocessor is configured to determine primitives intersected by the ray, and return intersection information to a streaming multiprocessor for further processing. The hardware-based traversal coprocessor is configured to omit reporting of one or more primitives the ray is determined to intersect. The omitted primitives include primitives which are provably capable of being omitted without a functional impact on visualizing the virtual scene.

Abstract: Curve antialiasing based on curve-pixel intersection is leveraged in a digital medium environment. For instance, to apply antialiasing according to techniques described herein, curves of a visual object are mapped from an original pixel space to a virtual pixel space. Virtual pixels of the virtual pixel space that are intersected by the mapped curves are identified and aggregated as intersected virtual pixels. The intersected virtual pixels are then mapped back into the original pixel space to identify which intersected virtual pixels positionally coincide with respective original pixels of the original pixel space. Intersected virtual pixels are mapped to original pixels to generate pixel coverage for original pixels. The generated pixel coverage values for original pixels are applied to render antialiased curves as part of an antialiased version of the original visual object.

Abstract: Systems and methods are disclosed for automatically aligning drawings. One method comprises receiving a source drawing and a target drawing, determining main axes of the source and target drawings respectively, and aligning the main axis of the source drawing to the main axis of the target drawing. A plurality of source feature point vectors and target feature point vectors may be generated from the source and target drawings, whose main axes have been aligned. A predetermined number of matching FPV pairs may then be determined across the source and target drawings, and the source drawing may be aligned with the target drawings based on the matching FPV pairs.

Abstract: An encoder is configured to compress point cloud geometry information using an octree/predictive tree combination geometric compression technique that embeds predictive trees in leaf nodes of an octree instead of encoding additional octree occupancy symbols for the leaf nodes. Alternatively an encoder may be configured to embed octrees in leaf nodes of a predictive tree structure. Similarly a decoder is configured to generate a reconstructed three-dimensional geometry from a bit stream including combined octree and predictive tree encoding information.

Abstract: A second learning data acquisition section acquires an input image. A wide angle-of-view image generation section generates, in response to an input of the input image, a generated wide angle-of-view image that is an image having a wider angle of view than the input image. The second learning data acquisition section acquires a comparative wide angle-of-view image that is an image to be compared with the generated wide angle-of-view image. A second learning section performs learning for the wide angle-of-view image generation section by, on the basis of a comparison result between the generated wide angle-of-view image and the comparative wide angle-of-view image, updating parameter values of the wide angle-of-view image generation section such that, according to the luminance levels of pixels in the comparative wide angle-of-view image or the luminance levels of pixels in the generated wide angle-of-view image, update amounts of the parameter values concerning the pixels are increased.

Abstract: An imaging system for superimposing at least two images, and a related method for superimposing at least two images, which images are obtained from separate or independent image sources. A single mapping based view of a user selected geographic area onto which multiple image data sets from separate computer systems are displayed whilst simultaneously isolating separate input data channels. At least one first image data set and/or a position code (generated by a position code generator) is transferred to a position code extractor via at least one secure transmission channel. The secure channel ensures isolation of input data from the separate input data channels of different computer systems. The first image is combined with a second image to provide a combined single image view of the selected geographic area. Transmission of an image data set, with associated position code, negates the need to pass data sets between separate computer systems.

Abstract: An encoder is configured to compress point cloud geometry information using an octree geometric compression technique that utilizes node groups. Nodes within a node group are scanned according to a breadth first scan order. Sequential node groups to evaluate may be selected according to a breadth first scan order or a depth first scan order based on whether or not the breadth first scan order or the depth first scan order is indicated in a flag in a preceding node group evaluated. In some embodiments, evaluation orders for node groups may be implicit without being signaled via flags. A decoder is configured to reconstruct a point cloud based on a bit stream encoded by the encoder.

Abstract: An encoder is configured to compress point cloud geometry information using an octree geometric compression technique that utilizes slices corresponding in size to data transmission units. In some embodiments, a subsequent slice may be set to use a re-set entropy context or may be set to use an entropy context saved for a preceding slice. In some embodiments, an entropy context for the preceding slice may be for a slice other than the immediately preceding slice of the subsequent slice being evaluated, such that if the immediately preceding slice is lost in transmission (or if the immediately preceding slice and the subsequent slice are being evaluated in parallel) the subsequent slice's entropy context can still be determined without depending on the immediately preceding slice. A decoder is configured to reconstruct a point cloud based on a bit stream encoded by the encoder.

Abstract: A method of generating a path of an object through a virtual environment is provided, the method comprising: receiving image data, at a first instance of time, from a plurality of image capture devices arranged in a physical environment; receiving image data, at an at least one second instance of time after the first instance of time, from a plurality of image capture devices arranged in the physical environment; detecting a location of a plurality of points associated with an object within the image data from each image capture device at the first instance of time and the at least one second instance of time; projecting the location of the plurality of points associated with the object within the image data from each image capture device at the first instance of time and the at least one second instance of time into a virtual environment to generate a location of the plurality of points associated with the object in the virtual environment at each instance of time; and generating a path of the object through

Abstract: A method including rendering graphics for an application using graphics processing units (GPUs). Responsibility for rendering of geometry is divided between GPUs based on screen regions, each GPU having a corresponding division of the responsibility which is known. First pieces of geometry are rendered at the GPUs during a rendering phase of a previous image frame. Statistics are generated for the rendering of the previous image frame. Second pieces of geometry of a current image frame are assigned based on the statistics to the GPUs for geometry testing. Geometry testing at a current image frame on the second pieces of geometry is performed to generate information regarding each piece of geometry and its relation to each screen region, the geometry testing performed at each of the GPUs based on the assigning. The information generated for the second pieces of geometry is used when rendering the geometry at the GPUs.

Abstract: A view of a virtual environment that includes a body of fluid is rendered by a method that includes dividing the body of fluid into a plurality of tiles having consistent size and shape and generating a distribution of waves for the plurality of tiles. A reactive region overlaying at least some of the plurality of tiles is defined and an object within the reactive region is identified. The method further includes determining an influence of the object on fluid within the reactive region, simulating motion of the fluid in the reactive region using the determined influence of the object, and rendering a frame of a video sequence including the view of the virtual environment, the view including a visual representation of at least a portion of the body of fluid.

Abstract: A method, computer program, and computer system for point cloud coding is provided. Data corresponding to a point cloud is received, and one or more geometric features are detected from among the data corresponding to the point cloud. A representation is determined for one or more of the detected geometric features, and the received data is encoded or decoded based on the determined representations whereby the point cloud is reconstructed based on the decoded data.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing visual constraint guides to automatically transform digital design objects within a digital document based on transformation of intersecting visual constraint guides. In particular, in one or more embodiments, the disclosed systems generate visual constraint guides and identifies digital design objects intersecting the visual constraint guides. Further, the disclosed systems can receive user input transforming the visual constraint guide. In response, the disclosed systems can transform both the visual constraint guide and associated digital design objects based on the received transformation. More specifically, the design guide system can transform the digital design objects relative to the visual constraint guide while maintaining distribution and alignment constraints of the digital design objects relative to the visual constraint guide.

Abstract: A home appliance and a control method therefor are provided. The home appliance includes a display, a sensor to detect whether a door is opened or closed, and at least one processor configured to control the display to display one or more objects, and based on sensing, by the sensor, at least one of an opening or a closing of the door, provide visual feedback to the one or more objects.

Abstract: A computing device generates an initial data visualization according to a visual specification that specifies a data source, a plurality of visual variables, and a plurality of data fields from the data source. The device determines a visualization region based on a display size of the initial data visualization. The device generates a modified data visualization from the initial data visualization according to the determined visualization region, including: (i) identifying a plurality of elements of the initial data visualization, (ii) for each element of the plurality of identified elements, determining a respective semantic weight for the respective element, (iii) grouping the elements into one or more element layers according to the determined semantic weights, (iv) computing spatial metrics for the elements, and (v) executing one or more generalization operations on the elements in accordance with the one or more computed spatial metrics. The computing device displays the modified data visualization.

Abstract: The present disclosure provides a method for modifying pairs of images for improved three-dimensional displaying. The method comprises analyzing the images for detecting the angle of incidence of the illuminating light in the images, and modifying the luminance values of at least a section of at least one of the images of each pair based on the angle of incidence and anatomical details of a human face. Further, the present invention provides a respective apparatus.

Abstract: Various embodiments of the disclosed technology present a structural foundation for volumetric flow reconstructions for expiratory modeling enabled through multi-modal imaging for pulmonology. In some embodiments, this integrated multi-modal system includes infrared (IR) imaging, thermal imaging of carbon dioxide (CO2), depth imaging (D), and visible spectrum imaging. These multiple image modalities can be integrated into flow models of exhale behaviors enable the creation of three-dimensional volume reconstructions based on visualized CO2 distributions over time, formulating a four-dimensional exhale model which can be used to estimate various pulmonological traits (e.g., breathing rate, flow rate, exhale velocity, nose/mouth distribution, tidal volume estimation, and CO2 density distributions).