22 results about "UV mapping" patented technology

The invention discloses a method for optimizing the texture quality of a generative 3D model based on a texture expansion graph, and relates to the field of computer vision. Rendering the 3D model to obtain a multi-modal image set under multiple view angles; obtaining a training data set and training a multi-view generation model; generating an RGB image set by using a multi-view generation model; high-quality RGB images under the six visual angles are back-projected to the surface of the 3D model, colors of 3D points are mapped to a UV space through UV mapping, and a multi-visual-angle texture map and a mask map of the UV space under the six visual angles are obtained; fusing the multi-view texture maps to obtain a rough texture map; and optimizing the rough texture map through the image restoration model to obtain a high-quality complete texture expansion image. Through the multi-view generation model and the UV space image restoration technology, the texture quality of the generation type 3D model is optimized, and the problems of artifacts and distortion caused by the fact that the image content is inconsistent with the three-dimensional model geometry when high-quality multi-views are generated based on images are effectively solved.

The embodiment of the invention provides a texture coordinate generation method and device of a curved surface three-dimensional model, electronic equipment and a storage medium. The method comprises the following steps: acquiring three-dimensional coordinate information of a model vertex; determining curved surface geometric feature parameters corresponding to the vertexes based on the three-dimensional coordinate information; determining a plane mapping conversion relation based on the curved surface geometric feature parameters; and generating texture coordinates of the model by applying the plane mapping conversion relation. According to the technical scheme, the accurate plane mapping conversion relation is established based on the geometric feature parameters of the curved surface, the problem of pole deformation in traditional spherical UV mapping is effectively solved, seamless mapping of the square continuous mapping on the curved surface model is achieved, meanwhile, the calculation load of a graphics processor is reduced, and the processing efficiency of texture mapping is improved.

The invention provides a physiotherapy path planning method based on human body 3D reconstruction, and the method comprises the steps: obtaining N pictures based on a preset track, carrying out the preprocessing of the N pictures, carrying out the coordinate transformation of a preprocessed depth image, and projecting the preprocessed depth image into an RGB image, and obtaining a fusion image; taking the first camera pose as an original point of a world coordinate system, and reconstructing an overall scene through a TSDF voxel network based on the fused image; a human body area is separated from the whole scene, dynamic three-dimensional reconstruction is carried out on a human body through SMPL, and a human body surface triangular mesh is generated; carrying out UV mapping after the triangular mesh on the surface of the human body is registered through a standard acupoint model, and generating acupoint coordinates of the human body based on UV mapping and bone degree mapping; according to the method, an initial physiotherapy path is generated based on acupuncture point coordinates of a human body and a meridian theory, curved surface path fitting is performed on the initial physiotherapy path based on physique path weight adjustment and dangerous anatomical structure avoidance, a final real-time physiotherapy path is generated, and the human body physiotherapy path planning precision is improved.

The invention relates to a BlendShapes transmission method and a BlendShapes transmission system based on UV mapping. The method comprises the following steps: receiving a basic model of a source model, at least one BlendShapes deformation model corresponding to the basic model of the source model and a basic model of a target model; constructing a mapping relation between the target model and the source model based on the UV grid space; calculating the vertex offset from the basic model of the source model to the BlendShapes deformation model of the source model; calculating a vertex displacement vector of the target model based on the vertex offset and the mapping relation; and superposing the vertex displacement vector of the target model to a basic model of the target model, and generating a BlendShapes deformation model corresponding to the target model. By the adoption of the method, topological limitation can be broken through, and when any topological difference exists between the source model and the target model, BlendShapes transmission can still be achieved.

The application discloses a 4D Gaussian sputtering compression method based on UV mapping, relates to the technical field of video basic stream processing, and mainly comprises the following steps: converting the three-dimensional coordinates of the center point of each 3D Gaussian sputtering basic unit in a 4D Gaussian sputtering sequence into spherical coordinates through coordinate conversion, and mapping and constructing the azimuth and polar angle in the spherical coordinates into a two-dimensional UV grid representation; through multi-round iterative sampling, selecting the 3D Gaussian sputtering basic unit with the maximum radial distance in each round grid unit as high-priority data to construct a multi-layer UV mapping; collecting all the 3D Gaussian sputtering basic units that are not selected after iterative sampling and reordering them as detail supplement data; and splitting the attribute data of the 3D Gaussian sputtering basic unit into corresponding bit components based on the channel number of a video codec and encapsulating the attribute data into YUV format data to input the video codec for compression. The application can adapt to the input requirements of a standard video codec without training.

The application relates to a UV texture image generation method, device and equipment based on UV mapping transformation, which can be used in the technical field of image processing. The method comprises the following steps: acquiring a two-dimensional face image, and generating a three-dimensional face model corresponding to the two-dimensional face image; performing UV mapping processing on vertex information in the three-dimensional face model according to a UV mapping relationship, obtaining a first UV texture image, and performing UV mapping processing on pixel point information in the two-dimensional face image according to the UV mapping relationship, obtaining a second UV texture image; performing image fusion processing on the first UV texture image and the second UV texture image, and obtaining a fusion UV texture image of the two-dimensional face image; and inputting the fusion UV texture image into a texture processing model, and obtaining a target UV texture image of the two-dimensional face image. The method does not need to be pre-trained by using a data set, and can improve the resolution and accuracy of the generated UV texture image based on a single two-dimensional image.

The invention relates to the field of video processing technology and three-dimensional interaction application, in particular to a three-dimensional space video seamless fusion method and system based on dynamic video materials, and the method comprises the steps: preprocessing a video, and outputting original data which can provide decodable frame data and recognizable transparent regions; establishing a three-dimensional model of which the surface is a continuous and non-overlapping topological structure, and standardized UV coordinates for mapping video frame pixels and model surface points; according to the method, compressed frame data in original data are converted through a video decoding link, texture-material dynamic binding is performed based on real-time updating of memory address mapping, and a three-dimensional model and a video are seamlessly fused through Shader rendering. Through standardized preprocessing, precise UV mapping and Shader optimization, the problem of rigid fusion in the prior art is thoroughly solved, the edges of the video and the three-dimensional model are free of sawteeth and black edges, the color and the scene are kept consistent, and the transparent region is uniformly transited.

The invention is concerned with data compression, to facilitate low-latency transmission of 3-dimensional image data over a network. In a first embodiment 100, a video camera 110 forms an image and a

The application discloses a single-image three-dimensional head reconstruction method and system based on a guided diffusion model, and the method comprises the following steps: obtaining a head portrait from a single image to be reconstructed; reconstructing a three-dimensional head model according to the head portrait; weakly projecting and mapping the three-dimensional head model to the head portrait under a predicted camera matrix, and obtaining a three-dimensional head model with front texture by using pixel information of the head portrait; performing cylindrical UV unfolding on the three-dimensional head model with the front texture to obtain a two-dimensional UV texture map and record a UV mapping relationship; inputting the two-dimensional UV texture map into a guided diffusion network model to predict the texture of an invisible area and obtain a complete two-dimensional UV texture map; and pasting the complete two-dimensional UV texture map back to the three-dimensional head model. The application can reconstruct a high-fidelity, artifact-free and realistic three-dimensional head model with rich texture details from a single portrait of an individual of different ages, genders, races and facial expressions.

The invention discloses a 4D Gaussian sputtering compression method based on UV mapping, and relates to the technical field of video elementary stream processing, and the method mainly comprises the steps: converting a central point three-dimensional coordinate of each 3D Gaussian sputtering elementary unit in a 4D Gaussian sputtering sequence into a spherical coordinate through coordinate conversion, mapping an azimuth angle and a polar angle in the spherical coordinates and constructing a two-dimensional UV grid representation; through multiple rounds of iterative sampling, selecting a 3D Gaussian sputtering basic unit with the maximum radial distance in each round of grid units as high-priority data to construct multilayer UV mapping; collecting all unselected 3D Gaussian sputtering basic units after iterative sampling, and reordering the unselected 3D Gaussian sputtering basic units as detail supplementary data; and splitting the attribute data of the 3D Gaussian sputtering basic unit into corresponding digit components based on the channel number of the video codec, packaging the corresponding digit components into YUV format data, and inputting the YUV format data into the video codec for compression. According to the invention, the input requirement of a standard video codec can be adapted without training.

The invention is applicable to the technical field of computer graphic processing, and provides a method for rendering a three-dimensional model wireframe structure in real time based on UV mapping and line chartlet, which comprises the following steps: S1, a modeling stage: screening and marking key side lines of a model in three-dimensional modeling software, executing UV expansion, newly building an independent UV channel to store side line information, and reserving an original UV channel for conventional chartlet; s2, a baking stage: constructing a black background base map in three-dimensional modeling software, exporting a black and white line map containing side lines based on the independent UV channel, and optionally optimizing the line map through image processing software; s3, a coloring stage: creating a shader containing wireframe parameters and a related material in real-time rendering software, loading the line chartlet, then adjusting wireframe attributes in real time, introducing anti-aliasing processing, and endowing the material to the model to complete rendering; according to the invention, the compatibility and the performance are obviously improved, the degree of freedom and the efficiency of adjustment are greatly optimized, and the quality and the visual effect of the wireframe are obviously improved.

The present disclosure provides a virtual model rendering processing method, device, program product and electronic equipment. The virtual model rendering processing method comprises: performing UV mapping on a target virtual model to determine a UV texture map of the target virtual model; determining a signed distance field of the target virtual model based on the UV texture map of the target virtual model, and performing reverse mapping on the signed distance field to obtain a first light transmission mask value; and determining a light transmission rendering effect of the target virtual model based on the first light transmission mask value. The present disclosure can effectively solve the light transmission performance problem of the virtual model due to the fact that the surface of the virtual model has no obvious geometric structure fluctuation, and improve the light transmission performance effect.

The application provides a data-driven UV mapping generation method, an electronic device and a program product. The data-driven UV mapping generation method comprises the following steps: dividing a 3D model into a plurality of charts, parameterizing each chart to a two-dimensional plane to generate a UV island; inputting the UV island coordinates into a trained UV mapping generation model to obtain an optimized UV coordinate sequence; and packing the UV island based on the UV coordinate sequence to obtain mapped UV data. The purpose of improving the mapping efficiency and quality is achieved.

The invention discloses an aircraft docking backtracking system, method and device and a storage medium. Comprising a data acquisition module used for acquiring each access device, performing protocol conversion on each access device, acquiring device production data of each access device based on an edge node, and sending the device production data to a visualization module; and the visualization module is used for acquiring a digital model, preprocessing the digital model to generate a processed digital model, performing UV mapping on the processed digital model to generate a visualization model, performing skeleton binding according to the visualization model and the equipment production data to generate a skeleton motion model, and performing visualization display based on the skeleton motion model. And through the data acquisition module, acquisition and processing of equipment production data are realized, obstacles caused by data format differences are eliminated, and the data integration efficiency is improved. And comprehensive visual backtracking and analysis are carried out on the aircraft docking process through the visual module, so that the actual application requirements of the aircraft docking process are met.

The invention discloses a three-dimensional Gaussian modeling method and system based on Poincare sphere and three-plane representation. The method comprises the steps that a human body image is acquired and preprocessed; inputting randomly generated Gaussian variables into three-plane geometric feature branches to obtain geometric features; inputting a UV mapping graph obtained by fitting when the 3D human body reconstruction network model is trained into a hyperbolic U-net UV feature extraction branch to obtain UV features; and fusing the geometric features and the UV features, inputting the fused geometric features and UV features into a multi-branch decoder to obtain 3D Gaussian rendering core parameters, and synthesizing a 3D human body avatar image based on the 3D Gaussian rendering core parameters. According to the invention, a high-fidelity and real-time 3D human body model can be generated.

The invention discloses an automatic segmentation and expansion method for a three-dimensional portrait UV map, and belongs to the technical field of map segmentation, and the method comprises the following steps: obtaining data, carrying out the preliminary optimization processing of the map, carrying out the preliminary evaluation of the optimized map, and carrying out the certain cutting processing of the map. Learning and classifying materials by using a deep learning algorithm, then selecting and cutting required parts in the chartlet, and identifying key areas in the chartlet; according to the method, a deep learning method is adopted, ordered segmentation and expansion of the UV chartlet can be carried out according to actual business requirements, the problems that face information of three-dimensional portrait data is independently enhanced and different parts are independently processed are effectively solved, the method carries out optimization processing of the previous step on the image before chartlet segmentation, and the processing efficiency is improved. Therefore, the mapping quality can be greatly improved, the subsequent mapping processing effect is effectively and stably improved, and the overall method is good in application effect.

The invention belongs to the technical field of computer vision and artificial intelligence security, and discloses a high-view-angle human body detection physical countermeasure attack method, which comprises the following steps: establishing clothing UV mapping based on a three-dimensional human body model, and mapping a two-dimensional countermeasure patch to a three-dimensional curved surface through micro rendering; focus area selection information is constructed, and selective weighted updating is carried out on patch gradients in back propagation; the confidence coefficient and intersection-to-union ratio IoU of the candidate box are obtained, weighting is carried out in combination with focus area selection information, and the detection loss of quality perception is calculated; total variation regularization and printability constraint are introduced, the total variation regularization and printability constraint and the detection loss jointly form an optimization target, after patch parameters are iteratively updated, printable patches are output through color gamut mapping and gamma correction, and finally multi-model robustness verification is carried out. According to the method, a robust physical confrontation sample generation process in a high-view, multi-view and cross-detection model environment is realized, stable optimization convergence is ensured, textures can be printed, and the method has high attack success rate and strong mobility.

The invention provides a data-driven UV mapping generation method, electronic equipment and a program product. The data-driven UV mapping generation method comprises the following steps: segmenting a 3D model into a plurality of charts, parameterizing each chart to a two-dimensional plane, and generating a UV island; inputting the UV island coordinates into the trained UV mapping generation model to obtain an optimized UV coordinate sequence; and carrying out UV island packaging based on the UV coordinate sequence to obtain mapped UV data. The purpose of improving the mapping efficiency and quality is achieved.

The application discloses a kind of joint space uniform robot pose sampling methods, it includes the following steps: A, obtains robot joint workspace;The kinematic model of robot is used to correspond the working range of robot from three-dimensional space to robot joint space, and the first three joint data of robot are taken to draw, obtain the joint workspace of robot, i.e.joint working surface;B, using UV mapping is mapped to UV plane using joint working surface;C, using UV back reflection obtains robot sampling pose.The method of the application uses UV mapping to map the joint space working surface of robot to UV plane, which is convenient for robot pose sampling.After sampling on the UV plane, the UV back reflection is realized using the barycentric coordinate method, and the robot pose obtained has good correspondence and high calculation accuracy.The robot pose obtained using the method of the application is used for robot dynamic performance sampling, and the data error obtained is closer to normal distribution.Using these data to predict the dynamic performance of the robot, the prediction result is better.

The invention mainly aims to provide a method for generating a three-dimensional wind chime model based on a two-dimensional image, an electronic device and a storage medium, and the method can achieve the three-dimensional wind chime model through the steps of automatic image analysis, AABB extraction, central slice zooming, marching algorithm edge extraction, triangulation, UV mapping, three-dimensional rendering and the like. The full-process automation from two-dimensional image input to three-dimensional model display is realized, and the generation efficiency of e-commerce display materials and the three-dimensional visual effect are remarkably improved.

The application discloses a kind of overhead ground wire broken strand class unmanned aerial vehicle inspection defect sample generation method, randomly selects a panorama from high dynamic range panorama library as light source, generates defect ground wire three-dimensional rendering model through defect ground wire generation module, randomly selects metal material from ground wire PBR material library and then generates new seamless map after multi-scale fusion, maps material to defect ground wire three-dimensional rendering model by UV mapping method, generates image using ray tracing progressive rendering mode, converts defect part bounding box three-dimensional space coordinates into camera two-dimensional image coordinates by defect automatic labeling module, generates defect labeling frame;The method can provide a large amount of data support for the development of defect detection intelligent algorithm.