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一种基于特征保持的Web端三维实时渲染高效轻量化方法

刘彦君 刘文成 潘昊 李栋

中国科学院大学学报2026,Vol.43Issue(2):240-251,12.
中国科学院大学学报2026,Vol.43Issue(2):240-251,12.DOI:10.7523/j.ucas.2024.002

一种基于特征保持的Web端三维实时渲染高效轻量化方法

An efficient and lightweight method for web-based 3D real-time rendering based on feature preservation

刘彦君 1刘文成 2潘昊 3李栋2

作者信息

  • 1. 沈阳化工大学信息工程学院,沈阳 110142||中国科学院沈阳自动化研究所,沈阳 110016
  • 2. 中国科学院沈阳自动化研究所,沈阳 110016
  • 3. 沈阳化工大学信息工程学院,沈阳 110142
  • 折叠

摘要

Abstract

3D real-time rendering technology has a wide range of applications.At present,3D real-time rendering technology has problems such as high computational complexity and high storage overhead,making it difficult to efficiently run on the web side with limited resources.Therefore,researching lightweight 3D real-time rendering technology is of great significance.Edge collapse algorithm is a commonly used technology for lightweight 3D real-time rendering,but it has problems such as easy loss of edge features,single simplification rate,and low quality of the folded mesh that affect visual effects.In response to the above issues,this article proposes an efficient and lightweight method for 3D real-time rendering on the web side.Firstly,an edge collapse optimization algorithm based on 3D-SIFT feature extraction is proposed to freeze key areas and better preserve model edge features.Secondly,during the edge collapse process,local information entropy is introduced to modify the cost of edge collapse,prioritizing the processing of non-feature regions,thereby achieving hierarchical simplification of different feature regions.Finally,the Delaunay algorithm is introduced to reconstruct areas with poor triangular regularity,improving the quality of the mesh.

关键词

三维渲染/轻量化/边折叠/3D-SIFT/信息熵/Delaunay三角剖分

Key words

3D rendering/lightweight/edge collapse/3D-SIFT/information entropy/Delaunay triangulation

分类

信息技术与安全科学

引用本文复制引用

刘彦君,刘文成,潘昊,李栋..一种基于特征保持的Web端三维实时渲染高效轻量化方法[J].中国科学院大学学报,2026,43(2):240-251,12.

基金项目

国家重大研究计划重点支持项目(92167201)资助 (92167201)

中国科学院大学学报

2095-6134

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