Feature-preserving tetrahedralization and optimization for 3D models

Jun Liang Wang, Zhong Li*, Xiao Gang Jin, Li Zhuang Ma

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Tetrahedralization of 3D models is an important technique in finite element mesh generation. An algorithm of tetrahedral mesh generation and optimization is proposed in this paper. It first uses principal component analysis of 3D models for the preprocessing. Then the initial tetrahedral mesh is built based on the body-centered cubic while the movement of cutting point is improved via Laplacian coordinates for keeping local features. Finally, it optimizes the quality of the tetrahedral mesh by using the function of energy-density error. Experimental results demonstrate that this method is viable, effective, and can preserve the model feature well.

Original languageEnglish
Pages (from-to)42-51
Number of pages10
JournalRuan Jian Xue Bao/Journal of Software
Volume26
StatePublished - 1 Dec 2015
Externally publishedYes

Keywords

  • Energy-density error
  • Laplacian coordinate
  • PCA (principal component analysis)
  • Tetrahedralization

Fingerprint

Dive into the research topics of 'Feature-preserving tetrahedralization and optimization for 3D models'. Together they form a unique fingerprint.

Cite this