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.

Key words: 3D rendering, lightweight, edge collapse, 3D-SIFT, information entropy, Delaunay triangulation