42 results about "Texture atlas" patented technology

A method for texturing of 3D model in 2D environment includes (a) generating a texture map set for 3D model data; (b) UV unwrapping the 3D model data on each of projected planes to obtain a UV map set for each projected plane; (c) performing a 2D image authoring on the UV map set for each projected plane to produce an edited image; and (d) mapping the texture map set and the UV map set by reflecting the edited image to the texture map set and the UV map sets that are generated previously until a desired texture map set is completed.

Systems and methods for displaying volume data on an arbitrary three-dimensional polygonal surface are disclosed. For each polygon in the polygonal surface, a two-dimensional texture tile is created and these texture tiles are combined to form texture atlases. Each texture atlas is allocated a specific amount of memory in a texture cache. Each polygon in the polygonal surface may be scan-converted and the resulting texels may be placed in the texture cache. Voxels that do not intersect any polygon in the polygonal surface may not be scan-converted. This method may result in reduced use of texture cache.

The invention discloses a texture rendering method and system for real-time three-dimensional human body reconstruction, a chip, equipment and a medium. The method comprises the steps of obtaining a current human body model and a depth image of a shooting object; selecting a current human body model as a standard model, reprojecting the vertex of the standard model to the depth image, extracting color information and image coordinates corresponding to the vertex, wherien the color information is a color initial value, and the image coordinates are converted into texture coordinates; calculating a weighted sum of the subsequent color information of the vertex of the human body model and the color initial value to serve as a new color of the vertex of the standard model; calculating sub-texture maps and sub-masks of the current human body model, and combining the sub-texture maps and the sub-masks into a complete texture map and mask; and performing rendering according to the texture mapand the texture coordinates. According to the method, generation and optimization of required textures can be rapidly completed based on the GPU, a high-quality texture atlas is obtained, and color cracks caused by illumination changes are eliminated. A human body model generated in a multi-camera system can be rendered, and a good visual reality sense is achieved.

A texture atlas scheduling method comprises the following steps of determining basic information for texture streaming scheduling and a data structure; creating the actual physical texture and save the texture loaded into memory; creating an indirect index buffer to store the location information of Mipmap on the physical texture; according to the level of detail information of texture, carrying out the inflow and outflow of texture, and according to the rectangular texture packing algorithm, finding the position information of the current inflow texture on the physical texture; rendering thetexture and relocating the UV coordinates for sampling calculation. The texture atlas scheduling method of the invention is based on a rectangular texture packing algorithm, and effectively reduces the number of DrawCalls by merging texture maps, so that the rendering efficiency is improved. Through the scheduling of textures, the memory usage can be reduced, the necessary texture resources can beloaded gradually, and the memory pressure can be reduced. The invention can effectively reduce the pressure of the graphics processing unit in the rendering process.

A node acquisition unit 11 receives as its input, polygon groups which have a plurality of levels of detail represented in a tree structure and render a model at the plurality of levels of detail, and texture image groups properly assigned to the polygon groups, respectively, and determines nodes corresponding to the texture image groups to be merged. A texture atlas generating unit 12 generates a texture atlas group by merging the texture image groups using information about the nodes the node acquisition unit 11 generates, and converts the texture coordinates of the vertices of the polygon groups while relating the texture coordinates to a drawing position.

Systems and methods for reducing the amount of texture cache memory needed to store a texture atlas by using uniquely grouped refined triangles to create each texture atlas.

A first memory is a main memory that stores a texture image group. A second memory is a VRAM that stores a first texture atlas in which one or more texture images copied from the texture image group are arranged, and a second texture atlas to be newly generated. A texture copy section copies at least one of the texture images arranged in the first texture atlas from the first texture atlas to the second texture atlas.

The invention relates to the field of artificial intelligence, and discloses a target recognition method, which comprises the steps of obtaining an initial image set, and performing preprocessing operation on the initial image set to obtain a to-be-recognized image set; performing local texture extraction on the to-be-identified image set to obtain a texture atlas set; inputting the texture atlasset into an optimization classifier to execute classification operation, and screening out a target image set from the initial image set according to an obtained classification result; and inputting the target image set into a pre-trained image recognition model for target recognition, and outputting a target recognition result. According to the invention, the problems of low overall process efficiency and computing resource waste of target recognition can be solved.

The invention relates to a method for tracking the movement of a target in the body by adopting magnetic resonance imaging. The method can be applied to radiotherapy equipment guided by magnetic resonance imaging. The method comprises a process (figure 1) of realizing tracking for the movement of the target in the body, a process (figure 5) of performing similarity comparison on a real-time imageand a texture atlas and methods applied in the two processes, wherein the methods comprise a method (102) of segmenting a target three-dimensional model from an image, a method of calculating a center(3) of a three-dimensional target (2), a method (103) of building a target fault texture atlas, a method (104) of performing real-time imaging on a region of interest and a method (105) of performingsimilarity comparison on a real-time image and the texture atlas.

The invention discloses a texture and normal library construction method based on an artificial intelligence technology. The texture and normal library construction method comprises the steps of obtaining a first original face texture map set; generating a first sampling face texture map set according to the first original face texture map set; for the target face area, determining a first principal component analysis parameter according to the first sampling face texture map set; for the target face area, if the face texture and normal library construction conditions are met, using the firstprincipal component analysis parameter as a texture normal base corresponding to the target face area in the face texture and normal library, wherein the face texture and normal library further comprises (K1) a texture normal base corresponding to the face area. The embodiment of the invention further provides a texture and normal graph generation method and device, a new human face texture and normal library can be constructed, the human face texture graph with low definition can be restored into the ultrahigh-definition human face texture graph by using the human face texture and normal library, and expression of the human face texture graph is enhanced.

Embodiments are described for a method for processing textures for a mesh comprising quadrilateral polygons for real-time rendering of an object or model in a graphics processing unit (GPU), comprising associating an independent texture map with each face of the mesh to produce a plurality of face textures, packing the plurality of face textures into a single texture atlas, wherein the atlas is divided into a plurality of blocks based on a resolution of the face textures, adding a border to the texture map for each face comprising additional texels including at least border texels from an adjacent face texture map, and performing linear interpolation of a trilinear filtering operation on the face textures to resolve resolution discrepancies caused when crossing an edge of a polygon.

Provided are a texture atlas generation unit (10) that generates a texture atlas (41) by combining a plurality of textures, and generates position information (32), in the texture atlas (41), of a texture to be rendered; a polygon information storage unit (330) that stores polygon information (33) in which are set vertex coordinates of the polygon in an output image (42) and vertex texture coordinates corresponding to the vertex coordinates in an image to be rendered on the polygon on the basis of the texture to be rendered; a pixel coordinate calculation unit (22) that detects locations of pixels to be filled in with the polygon in the output image (42), and calculates pixel-corresponding texture coordinates corresponding to locations of pixels in a rendered image; and a coordinate conversion unit (23) that converts the pixel-corresponding texture coordinates to coordinates within an area of the texture to be rendered on the texture atlas (41).

The present application discloses a method, device, and system for rending images. The method includes obtaining, by one or more processors, image data comprised in a data frame to be rendered, determining, by the one or more processors, one or more dimensions for a texture atlas based at least in part on the dimensions of the obtained image data, creating, by the one or more processors, the texture atlas based at least in part on the determined dimensions, and rendering, by the one or more processors, the data frame based at least in part on the texture atlas.