23 results about "Texture compression" patented technology

This invention relates to the fields of computer graphics and 3D modeling optimization technology, specifically to a lightweight 3D model method and system based on point cloud layering and dynamic texture mapping. In use, this invention establishes a bidirectional coupling mechanism between point clouds and textures, thereby improving storage efficiency, rendering performance, and visual fidelity. Regarding storage efficiency, it relies on texture curvature adaptive segmentation and dynamic slicing binding technology to construct an efficient associative storage system for geometry and texture, achieving excellent geometry and texture compression effects and significantly reducing the storage cost of high-precision 3D models. In terms of real-time rendering performance, it significantly improves real-time model scheduling efficiency through runtime dynamic loading strategies combined with efficient visibility filtering acceleration and intelligent resource preloading technology, thereby significantly improving work efficiency in scenarios such as design iteration and model editing.

Computing an image depicting a face having an expression with wrinkles is described. A 3D polygon mesh model of a face has a non-neutral expression. A tension map is computed from the 3D polygon mesh model. A neutral texture, a compressed wrinkle texture and an expanded wrinkle texture are computed or obtained from a library. The neutral texture comprises a map of the first face with a neutral expression. The compressed wrinkle texture is a map of the first face formed by aggregating maps of the first face with different expressions using the tension map, and the expanded wrinkle texture comprises a map of the first face formed by aggregating maps of the first face with different expressions using the tension map. A graphics engine may be used to apply the wrinkle textures to the 3D model according to the tension map; and render the image from the 3D model.

The approaches presented here provide for the use of different compression formats for different operations, such as storage versus processing. Information can be shared between different compression techniques to allow for improved efficiency while maintaining high quality. In at least one embodiment, a texture can be compressed using both a storage-friendly and a processor-friendly format, allowing for testing of several different options for individual blocks of the texture. Information about the selected options can be stored with the texture in the storage-friendly format.If the texture is to be used for processing, the saved texture can be transcoded into the processor-friendly format using the selected options that were saved with the texture, allowing faster transcoding with similar quality results.

A system and method for fixed size texture compression using a selected encoding scheme is presented. The method includes determining a first endpoint of a four-pixel block, each pixel represented by a red, green, and blue channel; determining a second endpoint of the pixel block; determining a distance between the first endpoint and the second endpoint; selecting an encoding scheme based on a determined distance; encoding the first endpoint and the second endpoint using a first plurality of bits based on the selected encoding scheme; encoding a first quantization level using a second plurality of bits based on the selected encoding scheme; encoding a second quantization level using a third plurality of bits based on the selected encoding scheme; and encoding a location of the first endpoint and a location of the second endpoint using a fourth plurality of bits based on the selected encoding scheme.

The invention discloses an oblique photography data increment updating method and system based on gridding and three-dimensional tiles, and relates to the technical field of oblique photography data processing. According to the method, the problem of low incremental updating efficiency of oblique photography data is solved through the processes of gridding division, pressing and covering positioning, matting and merging and splitting adaptation. The method specifically comprises the following steps: performing regular gridding division on original oblique photography data, setting the size of a grid unit based on a longitude and latitude range or a pixel size, and generating a unique ID and a corresponding 3D Tiles file; newly added data are obtained, a space range boundary is extracted, and affected grid units are screened; performing format unification (such as vertex coordinate precision and texture compression) on old files and newly added data, and removing overlapped parts; fusing the non-overlapping part of the old data with the newly added data, repairing the boundary vertex connection relationship, and splitting into a new file to replace the old file; data are loaded according to the original grid unit logic, and codes do not need to be adjusted. According to the method, the updating efficiency is improved, the resource consumption and the storage redundancy are reduced, and the method is compatible with the 3D Tiles format.

The invention relates to a three-dimensional model lightweight processing method and device, computer equipment and a storage medium. According to the method, the volume of geometric data is reduced by compressing the structural features of the three-dimensional model, texture compression is performed on the process feature textures, node data in the simulation animation are marked as null nodes, zero transformation nodes and repeated naming nodes, and redundant nodes are cleared to simplify animation data, so that the animation data are simplified. The data format is converted into the binary file format of the lightweight model, and the lightweight rate of the three-dimensional model reaches 60%.

The invention relates to the technical field of WebGL radar body rendering, and discloses a WebGL-based radar body rendering performance optimization system. The method comprises a texture acquisition and reconstruction module, a dynamic decomposition and clustering module, an index calculation module, a strategy determination module and a compression rendering module. According to the method, after structural reconstruction is carried out on original radar body data, energy diffusion simulation is utilized to realize dynamic hierarchical decomposition, and then adaptive clustering is carried out according to texture feature relevance. The texture change intensity and the space consistency index of each rendering subset are calculated, the global rendering load is evaluated, then an adaptive texture compression strategy is determined, and finally the structured texture field is subjected to lossy compression and sent to a WebGL pipeline for rendering. According to the method, the hierarchical structure automatically fits the data features, the data is organized according to the feature consistency, adaptive distribution and efficient compression of rendering resources are achieved, and the rendering efficiency and the drawing quality in the Web environment are improved.

The invention relates to the technical field of data transmission, and discloses a security and protection monitoring data transmission optimization method and system based on the Internet of Things, and the method comprises the steps: carrying out the motion feature analysis of a dynamic target corresponding to a security and protection monitoring region, and constructing a behavior feature matrix of the dynamic target, so as to carry out the visual frequency domain component decomposition of security and protection monitoring data, obtaining a structure component set and a texture component set; performing dynamic compression on the structure component set and the texture component set to obtain a structure compression set and a texture compression set, and performing transmission priority integration to obtain compressed queue data; performing multi-path routing scoring on the compressed queue data so as to perform data transmission on the compressed queue data to obtain a compressed data stream, performing visual reconstruction on the compressed data stream, and calculating the visual fidelity of a reconstructed video frame; and when the visual fidelity meets the fidelity requirement, performing video recombination on the reconstructed video frame to obtain target transmission data. According to the invention, the real-time performance and reliability of security and protection monitoring data transmission can be improved.

The invention provides a picture texture compression method and system, a computer and a storage medium, and the method comprises the following steps: building a canvas with a preset pixel size, traversing a picture set, carrying out the boxing operation of each picture, and obtaining a canvas set with a specified size; training an auto-encoder neural network, and guiding overfitting through a multi-target mixed loss function based on a canvas set to optimize texture reconstruction quality; inputting the texture pictures with the unified size into an asymmetric depth encoder to generate an encoding vector, and performing quantization compression processing on the encoding vector; and inputting the quantized coding vector into a lightweight decoder according to the index, and outputting a restored texture picture. By using an active over-fitting design and a multi-objective loss function, the reduction degree of texture image quality is remarkably improved while the data volume is reduced; the hardware acceleration capability of the modern GPU on convolution operation is fully utilized, so that the compression and decompression efficiency is high, and the method has remarkable practical value and performance advantages.

The invention discloses a thumbnail display method and a related device. The invention relates to the technical field of terminals. In the method, the electronic equipment can obtain the thumbnail in a texture compression mode. Moreover, the electronic device may obtain a texture file including certain parameters of the original image. Therefore, the thumbnail displayed by the electronic equipment based on the texture file can reflect some parameters of the original image.

The application provides a picture texture compression method, system, computer and storage medium, the method comprises the following steps: establishing a canvas of a preset pixel size, traversing a picture set, performing a boxing operation on each picture to obtain a canvas set of a specified size; training a self-encoder neural network, and guiding overfitting based on the canvas set through a multi-objective hybrid loss function to optimize texture reconstruction quality; inputting the texture picture of the uniform size into an asymmetric deep encoder to generate an encoding vector, and performing quantization compression processing on the encoding vector; inputting the quantized encoding vector into a lightweight decoder according to an index, and outputting a restored texture picture. By using active overfitting design and a multi-objective loss function, the texture quality restoration degree is significantly improved while reducing the data amount; the hardware acceleration capability of a modern GPU for convolution operation is fully utilized, so that the compression and decompression efficiency is high, and the application has significant practical value and performance advantages.

Disclosed in the present application are a thumbnail display method and a related apparatus. The present application relates to the technical field of terminals. In the method, an electronic device can obtain a thumbnail by means of texture compression; in addition, the electronic device can acquire a texture file comprising certain parameters of an original image. Thus, the thumbnail displayed by the electronic device on the basis of the texture file can reflect the certain parameters of the original image.

A system and method for fixed size texture compression utilizes a four-pixel block. The method comprises: determining a first endpoint of a pixel block comprising four pixels, each pixel represented by a red channel, a green channel, and a blue channel; determining a second endpoint of the pixel block, the second endpoint being not the first endpoint; encoding the first endpoint and the second endpoint using a first plurality of bits; encoding the first quantization level using the second plurality of bits; encoding the second quantization level using a third plurality of bits; encoding positions of the first endpoint and the second endpoint using a fourth plurality of bits; and encoding an addressing indication bit based on a distance between the value of the first endpoint and the value of the second endpoint.

The invention discloses a video single frame rollback method and related equipment. A decoded video frame is stored through an annular cache region, the frame is stored back to the annular cache region through texture compression after reading and rendering, a logic read-write relation of the annular cache region is reversed when a rollback instruction is received, and corresponding texture data is read to complete rollback. The frame data volume is greatly reduced through the texture compression technology, more frames can be stored in the same memory, the problem that backoff frames are discarded due to storage limitation is thoroughly avoided, and the continuity between the frames is guaranteed. The decoding frames are continuously reserved in the annular cache region, the compressed texture data can be directly rendered, the previous frame can be positioned only by reversing the read-write relation during rollback, the reference frame does not need to be pulled again for decoding, the extra decoding amount is eliminated from the source, and the response speed of the system is remarkably improved. Meanwhile, due to the cycle characteristic of the annular cache region and accurate control over read-write inversion, a target frame can be directly positioned and rendered immediately, interframe dependence interference is avoided, accurate frame positioning is achieved, and the requirement for frame-by-frame analysis of a monitoring scene is met.

The invention discloses a texture multiplexing and splicing live-action three-dimensional model lightweight method and system, and relates to the technical field of three-dimensional model processing. Comprising the following steps: S1, extracting a texture feature signature; s2, performing material clustering based on the feature signature; s3, cleaning redundant resources and creating a main material; s4, carrying out UV expansion and space planning; and S5, automatically splicing the textures. According to the method, the visual fidelity is completely reserved, detail loss caused by grid simplification is avoided, the fuzzy problem caused by texture compression is avoided, and the texture tone of the same material is unified.

The present invention relates to the technical field of WebGL radar volume rendering, and discloses a WebGL-based radar volume rendering performance optimization system. The method includes a texture acquisition and reconstruction module, a dynamic decomposition and clustering module, a metric calculation module, a strategy determination module, and a compression and rendering module. After structuring and reconstructing the original radar volume data, the method uses energy diffusion simulation to achieve dynamic hierarchical decomposition, and then performs adaptive clustering according to the texture feature correlation. By calculating the texture change intensity and spatial consistency metrics of each rendering subset, the global rendering load is evaluated, and then an adaptive texture compression strategy is determined. Finally, the structured texture field is lossily compressed and sent to the WebGL pipeline for rendering. This method enables the hierarchical structure to automatically conform to the data features and organizes the data according to the feature consistency, realizing the adaptive allocation and efficient compression of rendering resources, and improving the rendering efficiency and drawing quality in the Web environment.

The invention provides an illumination map texture compression method and system based on micro rendering, and belongs to the technical field of digital image processing and rendering. The method comprises the following steps: performing color detection on each triangle in an illumination mapping UV space, comparing color similarities among the triangles, and constructing a connected graph based on the color similarities; according to the connected graph, carrying out region division on the UV space of the illumination map, updating the UV coordinates of the illumination map, and generating a low-resolution illumination map texture based on the new UV coordinates; a hierarchical texture is constructed by adopting a cascade texture technology, and a low-resolution illumination map texture is optimized in combination with a micro-rendering technology, so that gaps of newly generated illumination map textures are filled, low-frequency information of the illumination map is compressed, and illumination map texture compression is realized. According to the method, the storage requirement of the illumination map can be remarkably reduced, meanwhile, the rendering quality is kept, the method is compatible with an existing rendering process, and an efficient and high-quality illumination map compression solution is provided for a user.

Techniques are described that first generate (310) a short list of candidate partitions for BC-7 texture compression using gradient intensity calculations in multiple directions, and then select one of the candidate partitions using pixel ranges to further process (708) the block.

To provide a texture compression method, system, and storage medium that produce lossy encoded textures suitable for use with subsequent lossless compression in accordance with Rate Distortion Optimization.SOLUTION: A method includes: encoding a plurality of blocks obtained by dividing a texture into a plurality of block bitstreams; selecting the block bitstreams having the lowest distortion values such that a predetermined number of block bitstreams for each block are selected; acquiring, for each selected block bitstream, data chunks such that each data chunk is a continuous region of the block bitstream; detecting collisions among the acquired data chunks; forming, on the basis of the detected collisions, match chains with redundant data chunks such that the redundant data chunk therein represent a common value of the block bitstream; selecting the best match chain, and acquiring a lossy encoding of the texture from the selected best match chains.SELECTED DRAWING: Figure 13

The application provides a texture image compression method, device, equipment, storage medium and program product. The method comprises the following steps: obtaining a video memory budget value of an original texture image and a first pixel value of the original texture image; determining a texture compression parameter list of the original texture image based on the video memory budget value; the texture compression parameter list comprises at least one texture compression parameter corresponding to each image resolution in a plurality of image resolutions, and the texture compression parameter comprises a block size, a block number and a video memory overhead value; the video memory overhead value is less than or equal to the video memory budget value; obtaining a plurality of compressed texture data and reconstructed texture data after decoding each compressed texture data; determining a quality evaluation result of each reconstructed texture data based on the first pixel value and the reconstructed texture data; and determining target compressed texture data of the original texture image from the plurality of compressed texture data based on the quality evaluation result. Through the application, the compression effect of the texture image can be improved.

The invention provides an electric power communication equipment three-dimensional modeling method and system based on a parameterized rule base, and relates to the technical field of digital modeling of electric power communication equipment, and the method comprises the steps: constructing the parameterized rule base comprising a basic sub-base, an equipment exclusive sub-base, a compliance verification sub-base and an optimization rule sub-base; collecting and preprocessing multi-source data; performing layered three-dimensional modeling of the base layer, the facility layer and the data layer based on the rule base; carrying out lightweight optimization on the model by adopting grid simplification, texture compression and LOD grading technologies; and finally, carrying out geometric accuracy, compliance and performance verification on the model. The system correspondingly comprises a parameterized rule base module, a data acquisition and preprocessing module, a layered modeling module, a model optimization module, a model verification module and the like. Through parameterization rule driving, the modeling efficiency is improved by 50%-85%, the rendering performance that the mobile terminal is larger than or equal to 30 FPS and the AR terminal is larger than or equal to 60 FPS is ensured while the precision is ensured, and the problems of precision and light weight balance, model compliance and multi-scene adaptation are solved.

A method for transcoding a compressed graphical texture from a first format into a target format. In at least one embodiment, a texture can be compressed using both a storage-friendly format and a pro