One variation of a method includes, at a first sensor block: capturing an image of a space; detecting a constellation of edges representing objects in the space; assembling the constellation of edges into an edge map; and serving the edge map to a remote computer system. The method includes, at the remote computer system: passing the edge map to a model configured to generate synthetic photographic images of the space based on edge maps; receiving a synthetic photographic image of the space from the model, the synthetic photographic image representing locations of objects in the space; and serving the synthetic photographic image to an operator portal for an operator to view an anonymized layout of the space.

Technical solutions are provided to facilitate computer assistance during a surgery to prevent complications by detecting. identifying. and indicating the identification of certain structures in a field of view of a video of the surgery. According to some aspects. a computer vision system is trained to detect several structures in the video of the surgery, and further to distinguish between the structures. Further, a user interface element is displayed that indicates the identification of the structure by updating a visual attribute of the user interface clement to match a visual attribute used to represent the indicated structure itself.

Systems and methods are provided for automatically generating prioritized, color-coded tasks based on user input received through a conversation interface of a task management application. User input provided to an automated software assistant is analyzed along with contextual data from multiple sources, including existing tasks, calendar events, emails, and messages. The system determines task attributes such as title, status, deadline, geographic location, urgency, and frequency, and assigns a color tag based on color assignment parameters including task category, priority, and location. Machine learning algorithms analyze historical user-assigned colors in relation to task attributes to predict color assignments for new tasks and establish intelligent color relationships, thereby dynamically updating a prioritized, color-coded task list displayed in a graphical user interface.

Systems and method of tile-based rendering display transport are disclosed. A method includes dividing an image into a plurality of discrete tiles and identifying a first set of tiles of the plurality of discrete tiles that requires rendering and a second set of tiles of the plurality of discrete tiles that does not require rendering. The first set of tiles includes a non-empty portion of image data corresponding to the image, and the second set of tiles includes an empty portion of image data corresponding to the image. The method includes rendering the first set of tiles to generate a rendered set of tiles, compressing the rendered set of tiles to form a compressed set of tiles, and transmitting the compressed set of tiles. The method includes decompressing the compressed set of tiles to generate the image and causing presentation of the image at a display of a head-wearable device.

The present disclosure makes it possible to realize with ease whether a student has been able to answer a question in an expected state. A computer includes a processor and a memory storing a program that, when executed by the processor, causes the computer to acquire a plurality of pieces of stroke data, determine whether the pieces of stroke data have been input in a particular state, and control a display state when the pieces of stroke data are displayed based on a result of determining whether the pieces of stroke data have been input in the particular state.

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.

Disclosed are a positioning method including: obtaining, by a device for providing a positioning function, multi-source wireless signal data from a collection data database (DB); generating, by the device, a matching map using the multi-source wireless signal data; generating, by the device, a matching map image corresponding to the matching map; generating, by the device, a classification model for positioning that outputs a labeling value of the matching map image when the matching map image is input; and performing, by the device, positioning based on a labeling value of a classified image that is output as a result of inputting the matching map image to the classification model for positioning, and a positioning device for providing a positioning function.

A pixelated color display where the emission corresponds to a color space comprised of three regions: an outer boundary of the entire color space which is defined by the most saturated colors; an inner region formed by less saturated colors which is defined by an inner region boundary; and between the inner region boundary and the outer boundary, an intermediate region where at least one color is approximated by dithering between a most saturated color and a less saturated color. The dithering can be color spatial, temporal, or physical spatial dithering or combinations thereof. The display is an OLED, preferably a multimodal (white light-emitting) microcavity with a color filter array and can have 3 or more stacks of light-emitting units. The color dithering in the intermediate region allows for generation of colors that cannot be emitted directly by the display.

The subject matter of this specification can be implemented in, among other things, a method to display a graphical user interface (GUI) of a graphics application, receive a selection of a first granular medium tool (GMT), receive a first input associated with the first GMT, the first input comprising one or more first input values characterizing placement of a first amount of a granular medium (GM) on a virtual drawing canvas, access one or more settings of the first GMT, determine, using the one or more first input values and the one or more settings, a first spatial distribution of the first amount of the GM on the virtual drawing canvas, and display, on the GUI, a first image corresponding to the first spatial distribution of the first amount of the GM.

In the endoscopic examination support apparatus, the image acquisition means acquires an endoscopic video captured by an endoscope. The lesion detection means detects a lesion candidate from the endoscopic video. The heat map generation means generates a heat map indicating a possibility of lesion of the lesion candidate in the endoscopic video by a color. The display control means displays a position of a lesion on a frame of the endoscopic video based on the lesion candidate and the heat map.