Abstract: A computer-implemented method, medium, and system for converting borehole images into three dimensional structures for numerical modeling and simulation applications are disclosed. In one computer-implemented method, multiple CT-scan images of a core sample of a rock are received, where the core sample includes a borehole, and the multiple CT-scan images are cross-section images of the core sample at multiple depths of the borehole. A triangulation process is performed on pixels of each CT-scan image and with respect to each of multiple circumferential position angles. Multiple radii of the borehole corresponding to the multiple circumferential position angles are determined for each CT-scan image. Multiple nodal coordinates of 3D numerical model mesh of the borehole are generated based on the multiple radii of the borehole. An advisory on drilling window limits of mud weight is provided based on the multiple nodal coordinates of the 3D numerical model mesh of the borehole.

Abstract: Systems and methods of timeline visualization that define a table structure which represents supply chain management actions in a generic way. The content of the table is then processed by the timeline visualization to extract the entities, events, their relationships, and their attributes. These entities are transformed into time axes, while the events are transformed into a visual representation of their attributes using color, shapes, and text labels. The events may be positioned on a canvas, above or below a timeline axis, depending on whether they are upstream or downstream events, using a layout module which determines the position on the x-axis (time) and y-axis.

Abstract: This application discloses methods, apparatus, and electronic devices for face pose estimation and three-dimensional face reconstruction. The face pose estimation method comprises: acquiring a two-dimensional face image for processing, constructing a three-dimensional face model corresponding to the two-dimensional face image, and determining a face pose of the two-dimensional face image based on face feature points of the three-dimensional face model and face feature points of the two-dimensional face image. With this approach, the face pose estimation is performed based on the three-dimensional face model corresponding to the two-dimensional face image, instead of only based on a three-dimensional average face model. As a result, a high accuracy pose estimation can be obtained even for a face with large-angle and exaggerated facial expressions. Thus, robustness of the pose estimation can be effectively improved.

Abstract: An information handling system includes a host processing system and a Liquid Crystal Display device. The host processing system includes a graphics processing unit (GPU) and the LCD device includes a memory device and a DisplayPort Configuration Data (DPCD) register. The host processing system 1) determines whether the first GPU supports a Dynamic Display Shifting (DDS) mode, 2) when the GPU does not support the DDS mode, provides a first indication to the LCD device that the GPU does not support the DDS mode, and 3) when the GPU supports the DDS mode, provides a second indication to the LCD device that the GPU supports the DDS mode. The LCD device retrieves a Panel Self Refresh (PSR) setting from the memory device and stores the PSR setting to the DPCD register in response to the first indication, and retrieves a DDS setting from the memory and stores the DDS setting to the DPCD register in response to the second indication.

Abstract: Disclosed herein is methods and systems for providing different views to a viewer. One particular embodiment includes a method including providing, to a neural network, a plurality of 2D images of a 3D object. The neural network may include a signed distance function based sinusoidal representation network. The method may further include obtaining a neural model of a shape of the object by obtaining a zero-level set of the signed distance function; and modeling an appearance of the object using a spatially varying emission function. In some embodiments, the neural model may be converted into a triangular mesh representing the object which may be used to render multiple view-dependent images representative of the 3D object.

Abstract: Techniques for generating a stylized drawing of three-dimensional (3D) shapes using neural networks are disclosed. A processing device generates a set of vector curve paths from a viewpoint of a 3D shape; extracts, using a first neural network of a plurality of neural networks of a machine learning model, surface geometry features of the 3D shape based on geometric properties of surface points of the 3D shape; determines, using a second neural network of the plurality of neural networks of the machine learning model, a set of at least one predicted stroke attribute based on the surface geometry features and a predetermined drawing style; generates, based on the at least one predicted stroke attribute, a set of vector stroke paths corresponding to the set of vector curve paths; and outputs a two-dimensional (2D) stylized stroke drawing of the 3D shape based at least on the set of vector stroke paths.

Abstract: A HUD apparatus that is an AR display apparatus mounted on an on-vehicle system includes: an image selection unit configured to input an image photographed by a camera, select and extract an area of an object from the image; a visibility judgment unit configured to judge visibility of a user with respect to the area of the object on a basis of an index value; an AR image generator unit configured to generate an AR image regarding the object by subjecting the area to image processing for improving the visibility on a basis of the visibility of the area of the object; and an AR display unit configured to superimpose and display the AR image onto a screen. The visibility judgment unit controls whether the AR image is to be displayed or not and content of the image processing to be changed in accordance with the visibility.

Abstract: A contrast ratio color picker system is described that generates, based on a selected color, a contrast ratio color picker that presents a filtered palette of colors satisfying a contrast ratio threshold, relative to the selected color. To do so, the contrast ratio color picker system computes a relative luminance value for the selected color and identifies a contrast ratio threshold for the digital content. The contrast ratio color picker system then selects a palette from a target color space and generates a filtered palette by masking pixels displaying colors of the target color space palette that fail to satisfy the contrast ratio threshold. The filtered palette is then output as part of the contrast ratio color picker, which enables application of colors selected from the filtered palette to digital content.

Abstract: Described herein is a computer implemented method for recolouring a vector graphic. Dominant colours defined by the vector graphic are determined, and a set of file colour groups is generated by associating file colours with dominant colours defined by the vector graphic. Colour change input data defining a particular file colour group and a new colour is received, and in response a colour transformation is determined. Corresponding transformed file colours are then calculated using the colour transformation.

Abstract: A graph display device includes: a display unit; and at least one processor, wherein the at least one processor is configured to convert a mathematical formula including two variables into a three-dimensional graph formula and display the three-dimensional graph formula on the display unit as a first three-dimensional graph.

Abstract: One implementation forms a composited stream of computer-generated reality (CGR) content using multiple data streams related to a CGR experience to facilitate recording or streaming. A media compositor obtains a first data stream of rendered frames and a second data stream of additional data. The rendered frame content (e.g., 3D models) represents real and virtual content rendered during a CGR experience at a plurality of instants in time. The additional data of the second data stream relates to the CGR experience, for example, relating to audio, audio sources, metadata identifying detected attributes of the CGR experience, image data, data from other devices involved in the CGR experience, etc. The media compositor forms a composited stream that aligns the rendered frame content with the additional data for the plurality of instants in time, for example, by forming time-stamped, n-dimensional datasets (e.g., images) corresponding to individual instants in time.

Abstract: Provided are an alpha value determination apparatus, an alpha value determination method, a program, and a data structure of image data that can represent an image rich in both color and transparency while suppressing the storage capacity necessary for storing the image data. A pixel data storage unit stores a plurality of pieces of pixel data indicating a pixel value and an index and associated individually with a plurality of pixels included in an image. An alpha value data storage unit stores alpha value data that is referenced in common by the index indicated in the plurality of pieces of pixel data and that indicates correspondence between the index and an alpha value. A combined image generation unit determines alpha values of a plurality of pixels associated with the respective pieces of pixel data based on the index indicated in the pixel data and the alpha value data.

Abstract: Embodiments are disclosed for adding node highlighting to vector graphics. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a selection of a plurality of anchor points of a vector graphic to be highlighted, generating a graph representing one or more path objects of the vector graphic, each node of the graph corresponding to an anchor point of the one or more path objects and each connection corresponding to a path segment connecting the anchor point to another anchor point, identifying a highlight trajectory including a subset of nodes from the graph, the highlight trajectory including at least a start node and an end node, generating a highlight path including at least one or more highlight nodes corresponding to a subset of nodes from the highlight trajectory, and updating the vector graphic to include the highlight path.

Abstract: A wave generation module can illustrate an aggregate wave pattern in a virtual environment representative of a physical environment in 3-D. The aggregate wave pattern takes into account an effect of the composition characteristics of the structural walls and fixtures on the wave generating characteristics for the of access points.

Abstract: Automatic font synthesis for modifying a local font to have an appearance that is visually similar to a source font is described. A font modification system receives an electronic document including the source font together with an indication of a font descriptor for the source font. The font descriptor includes information describing various font attributes for the source font, which define a visual appearance of the source font. Using the source font descriptor, the font modification system identifies a local font that is visually similar in appearance to the source font by comparing local font descriptors to the source font descriptor. A visually similar font is then synthesized by modifying glyph outlines of the local font to achieve the visual appearance defined by the source font descriptor. The synthesized font is then used to replace the source font and output in the electronic document at the computing device.

Abstract: Systems and methods for pixel-based quantum state visualization are disclosed. In one embodiment, a computer-based method for generating a visualization of a quantum state may include: (1) receiving, at a computer program executed by a computer processor, quantum input data comprising a plurality of outcomes for a quantum state, each outcome having a phase and a magnitude; (2) for each outcome, translating, by the computer program, the outcome into a pixel having a hue based on the phase and an intensity based on the magnitude; (3) plotting, by the computer program, the pixel on a pixel graph; and (4) outputting, by the computer program, the pixel graph to an output device.

Abstract: A method of generating garment images embellished with a personalization art image is disclosed. Creating a garment type, based on a business user input including receiving information related to garment parts available options in colors, fabrics, lighting conditions, camera viewpoints poses related to the garment, generating a garment part image for each distinct combination of garment part fabric, garment part color, lighting condition, camera viewpoint and pose, storing each garment image, receiving a selection of available customization windows corresponding to the garment, and displaying to an end-user, a user selected garment image, embellished with a selected personalization art located in a selected customization window.

Abstract: A computing system establishes a hierarchy for monitoring model(s). The hierarchy comprises an association between each of multiple measures of a measure level of the hierarchy and intermediate level(s) of the hierarchy. An intermediate level comprises one or more of a measurement category or analysis type. The hierarchy comprises an association between the intermediate level(s) and at least one model. The system monitors the model(s) by generating health measurements. Each of the health measurements corresponds to one of the multiple measures. Each of the health measurements indicates a performance of a monitored model according to a measurement category or analysis type associated in the hierarchy with the respective measure of the multiple measures. The system generates a visualization in a graphical user interface. The visualization comprises a graphical representation of an indication of a health measurement for each of measure(s), and associations in the hierarchy.

Abstract: The present disclosure describes a three-dimensional object segmentation method and device, and medium, and relates to the field of computer vision (CV) technologies of an artificial intelligence (AI) technology. The method includes obtaining, by a device, a point cloud of a three-dimensional object. The device includes a memory storing instructions and a processor in communication with the memory. The method includes determining, by the device, three scaling directions of the point cloud; scaling, by the device, positions of points in the point cloud along the three scaling directions to obtain a scaled point cloud, so that the scaled point cloud has the same scale in the three scaling directions; and segmenting, by the device, the three-dimensional object based on the scaled point cloud to obtain a segmentation result.

Abstract: An information processing method is provided for a terminal device. The method includes obtaining an image including an AR target; recognizing the AR target, and generating a virtual scene including N virtual objects (N being an integer greater than or equal to 2); disassembling the virtual scene to obtain the N virtual objects; and generating object information that separately corresponds to the N virtual objects, which include a target virtual object to be interacted with by a user. The method also includes keeping the object information of virtual objects other than the target virtual object in the N virtual objects unchanged and updating the object information of the target virtual object in response to receiving an operation instruction inputted by the user for the target virtual object, such that the target virtual object is interacted independently rather than the virtual scene as whole by the user.