10 results about "UV mapping" patented technology

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 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 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 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 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 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 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.