A Feature Preserved Mesh Simplification Algorithm
This paper presents a new mesh simplification algorithm based on stochastic sampling driving by local geometric feature. First, local geometric feature value of each triangle was computed and the selection probability of the triangle was acquired according to the probability distribution function. Then, the selection triangles were collapsed and new vertices were generated by minimization volume change between the original mesh and the simplify mesh. The experiment results show that mesh models were simplified and the volume was kept while the detail feature was preserved.
probability distribution function geometric feature triangle collapse mesh simplification
Zhao Ye Wang Chang Zhou Chang
Department of mathematics, Northwest University Department of mathematics and physics Xian technolo Department of mathematics, Northwest University
国际会议
成都
英文
1083-1086
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）