47 results about "Texture compression" patented technology

The invention provides a game cartoon character display method based on a virtual reality technology. The method comprises the following steps: acquiring three-dimensional model data of a game cartoon character in a target display area through a user interaction terminal; the virtual reality content management platform determines a dynamic rendering precision level according to the model data, and generates a real-time rendering strategy including a model patch reduction coefficient, a texture compression rate and a skeleton animation updating frequency in combination with terminal performance parameters; the strategy is sent to a virtual reality supervision platform and a user interaction terminal, and a virtual reality rendering engine platform is instructed to execute real-time rendering; and the virtual reality supervision platform monitors the frame rate fluctuation data of the head-mounted display device, calculates the scene rendering stability, sends a rendering optimization instruction if the scene rendering stability is lower than a threshold value, and adjusts the model data acquisition frequency and the video memory cleaning period to optimize the performance. The rendering efficiency and the system stability can be improved, and the hardware load and the frame rate fluctuation are reduced.

The invention discloses a spatio-temporal data compression method and system based on lightweight processing, and relates to the technical field of image data processing, and the method comprises the steps: based on spatio-temporal data to be compressed, establishing standardized data entries, forming a window set through time axis segmentation, carrying out the periodic discrimination of windows according to the frequency domain energy distribution, and constructing spatio-temporal blocks, establishing an error control parameter table based on the global error budget; generating a time coding stream, performing integerization on the three-dimensional coordinates and the attribute values, generating a space coding stream through double difference and run length coding, performing edge folding lightweight and texture compression on the grid data, and generating a joint coding result; and based on a joint coding result, dividing the compressed data into a base layer and a plurality of enhancement layers, and establishing a relevance hierarchical storage structure and a block-level index table to generate the compressed data capable of being transmitted in a streaming manner. According to the method, collaborative compression can be carried out by utilizing spatial-temporal data internal relevance.

The invention discloses a mobile terminal three-dimensional model visualization method under a dynamic rendering mechanism, and the method comprises the following steps: 1, a server processes a three-dimensional model file through the technologies of redundancy elimination, topological optimization, texture compression, material normalization and LOD generation in sequence; the three-dimensional model file meets the quantitative index requirement, so that the three-dimensional model file meeting the quantitative index requirement is obtained; 2, the server converts the three-dimensional model file required by the quantitative index into a three-dimensional model file in an M3D format, caches the three-dimensional model file in the M3D format, and transmits the three-dimensional model file in the M3D format to the mobile terminal, and the mobile terminal dynamically renders the three-dimensional model file in the M3D format by using an intelligent dynamic rendering mechanism according to the equipment type, so that the three-dimensional model file in the M3D format is obtained. And obtaining a visual three-dimensional model file. The rendering efficiency of the mobile terminal is high, and the fluency of the visualization effect is better.

The invention provides a GPU rendering texture image compression transmission method and system based on compressed sensing, and the method comprises the steps: obtaining an original texture image, compressing the original texture image based on a compressed sensing algorithm, and obtaining compressed data; issuing the compressed data and the configuration information to a GPU end; and obtaining the compressed data and the configuration information at the GPU end, reconstructing the compressed data based on a reconstruction recovery algorithm according to the configuration information to obtain a reconstructed texture image, and performing GPU rendering on the reconstructed texture image. The texture image is compressed based on the compressed sensing technology, more accurate texture compression is realized by combining the local sparsity and the global structure of the texture image, the compression ratio and the transmission efficiency of the texture image are improved, the reservation of the details of the texture image is ensured, and the requirement of modern texture image processing is met.

The invention relates to the technical field of computer graphics and three-dimensional modeling optimization, in particular to a 3D model lightweight method and system based on point cloud hierarchical slicing and dynamic mapping mapping.When the 3D model lightweight method and system are used, the storage efficiency, the rendering performance and the visual fidelity are improved by establishing a point cloud and mapping bidirectional coupling mechanism, and the 3D model lightweight effect is improved. In the aspect of storage efficiency, an efficient geometric and texture association storage system is constructed by relying on a map curvature adaptive segmentation and dynamic slice binding technology, an excellent geometric and texture compression effect is realized, the storage cost of a high-precision three-dimensional model is greatly reduced, and in the aspect of real-time rendering performance, through a dynamic loading strategy during operation, the real-time rendering efficiency is improved. By combining efficient visibility screening acceleration and an intelligent resource preloading technology, the real-time scheduling efficiency of the model is greatly improved, and the working efficiency of scenes such as design iteration and model editing is remarkably improved.

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 present invention discloses a method for generating digital models for displaying tourist attractions, comprising the following steps: obtaining three-dimensional data of the tourist attraction, performing high-precision modeling on the three-dimensional data to obtain an initial three-dimensional model; based on the initial three-dimensional model, using a face reduction algorithm to reduce the geometric faces of the initial three-dimensional model to obtain a simplified three-dimensional model; setting multi-level model detail parameters according to preset display platform performance parameters, and generating multi-level models with different degrees of precision based on the simplified three-dimensional model and the multi-level model detail parameters; compressing the texture data in the multi-level model using a texture compression algorithm to obtain a compressed texture model; and determining a final three-dimensional model from the multi-level model based on the performance indicators of the compressed texture model, loading the final three-dimensional model into the memory of the display platform for real-time rendering and display. The present invention solves the problem of large data volumes and low rendering efficiency in scenic area three-dimensional models.

The present disclosure provides a system and method for effectively compressing an image with low bandwidth and memory requirements while retaining a high quality. The method includes obtaining a block of an image including a plurality of pixels, obtaining a preliminary color map, iteratively updating the preliminary color map to generate an updated color map, generating indexes for the plurality of pixels, wherein each of the plurality of pixels has an index pointing to a color in the updated color map, determining an average color corresponding to colors with same indexes, replacing the color in the updated color map by the average color to generate an averaged color map, and storing the averaged color map and the indexes of the plurality of pixels as a representation of the block of the image.

A texture data processing method and apparatus, and an electronic device. The method comprises acquiring texture data to be processed and metadata corresponding to said texture data, the metadata being used for indicating the data format of said texture data (S102); on the basis of said texture data and the metadata, determining target texture data, the data format of the target texture data being consistent with a preset target texture compression format (S104); and on the basis of the target texture data, performing rendering to generate a target image (S106). The present application reduces the occupancy rate of the graphics card memory, and improves the resource utilization rate of cloud games.

The present invention discloses a processing method for seamless land - water integrated three - dimensional display based on a GIS system, which is characterized by the following steps: S1, performing elevation - level color rendering on the initial underwater three - dimensional model, and adopting texture compression and top - layer reconstruction for the initial land three - dimensional real - scene model to achieve second - level loading and display of massive data; S2, using a land - water boundary line to seamlessly splice the underwater three - dimensional model processed in S1 and the land three - dimensional real - scene model processed in S1, thereby obtaining a seamless land - water integrated three - dimensional model. The present invention effectively realizes the seamless land - water integrated three - dimensional display effect.

The invention discloses a method and a system for GPU texture compression during runtime. The method comprises the following steps: S1, obtaining a texture file path; s2, loading the texture file data; s3, creating a resource object of the GPU and uploading the texture file data to the resource object; s4, creating a computing shader of the GPU required by compression operation and a corresponding computing pipeline state, and binding the computing shader and the corresponding computing pipeline state to the GPU; the calculation shader is written according to a preset compression algorithm; s5, calling the calculation shader to execute the compression operation, and reading back data obtained after compression; and S6, storing the data obtained after compression. According to the GPU texture compression method and system during operation, high-efficiency texture compression is realized by utilizing the characteristic of high parallelism of the GPU, and the requirements of reading external textures in real time and compressing the external textures to save a memory are met.

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.

A decoder decodes a plurality of texels from a received block of texture data encoded according to the Adaptive Scalable Texture Compression (ASTC) format. A parameter decode unit decodes configuration data for the received block of texture data, a colour decode unit decodes colour endpoint data for the plurality of texels in dependence on the configuration data, a weight decode unit decodes interpolation weight data for each of the plurality of texels in dependence on the configuration data, and at least one interpolator unit calculates a colour value for each of the plurality of texels using the interpolation weight data for that texel and a pair of colour endpoints from the colour endpoint data. At least one of the parameter decode unit, colour decode unit and weight decode unit decodes intermediate data from the received block that is common to the decoding of a subset of texels of that block and uses that decoded data as part of the decoding of at least two of the plurality of texels.

Methods are disclosed for leveraging dynamic texture compression mechanisms for user interfaces. By leveraging dynamic texture compression of an image compression service associated with a content service provider that caches each image to be displayed, a user device will severely downsize the memory consumption of the GPU of the user device.

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.

A system and method for fixed size texture compression utilizing dynamic alpha channel compression is presented. The method includes determining a first endpoint of a pixel block including four pixels, each represented by a plurality of channels; determining a second endpoint of the pixel block; encoding the first endpoint and the second endpoint using a total of 31 bits; encoding a first quantization level using a second plurality of bits; encoding a second quantization level using a third plurality of bits; encoding an alpha map of the four pixels using a fourth plurality of bits; encoding a location of the first endpoint and a location of the second endpoint using a fifth plurality of bits; and storing an addressing indicator bit based on a distance between a value of the first endpoint and a value of the second endpoint.

A texture data processing method and apparatus, and an electronic device. The method comprises acquiring texture data to be processed and metadata corresponding to said texture data, the metadata being used for indicating the data format of said texture data (S102); on the basis of said texture data and the metadata, determining target texture data, the data format of the target texture data being consistent with a preset target texture compression format (S104); and on the basis of the target texture data, performing rendering to generate a target image (S106). The present application reduces the occupancy rate of the graphics card memory, and improves the resource utilization rate of cloud games.

The present invention provides a system and method for efficiently compressing an image with low bandwidth and low memory requirements while maintaining high quality of the image. The method includes: acquiring a block of an image including a plurality of pixels; obtaining an initial color table; the method includes iteratively updating the initial color table to generate an updated color table, generating an index for the plurality of pixels, where each of the plurality of pixels has an index directed to a color in the updated color table, determining an average color corresponding to a color having the same index, and generating an index for the plurality of pixels, where each of the plurality of pixels has an index directed to a color in the updated color table. Replacing colors in the updated color table with the average color to generate an average color table, and storing the average color table and an index of the plurality of pixels as a representation of a block of the 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 decoder configured to decode a plurality of texels from a received block of texture data encoded according to the Adaptive Scalable Texture Compression (ASTC) format, the decoder comprising: a parameter decode unit configured to decode configuration data for the received block of texture data; a colour decode unit configured to decode colour endpoint data for the plurality of texels of the received block of texture data in dependence on the configuration data; a weight decode unit configured to decode interpolation weight data for each of the plurality of texels of the received block of texture data in dependence on the configuration data; and at least one interpolator unit configured to calculate a colour value for each of the plurality of texels of the received block of texture data using the interpolation weight data for that texel and a pair of colour endpoints from the colour endpoint data; wherein at least one of the parameter decode unit and the colour decode unit are configured to decode intermediate data, only once, from the received block of texture data that is common to the decoding of at least two texels of the plurality of texels and independent of which of the texels are decoded from the received block of texture data; and wherein at least one of the parameter decode unit and the colour decode unit are configured to use the decoded intermediate data as part of the decoding of at least two of the plurality of texels from the received block of texture data.

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.