计算机工程2012，Vol.38Issue(16)：219-222,4.DOI:10.3969/j.issn.1000-3428.2012.16.057
基于Loose r-sample的网格质量保持技术
Mesh Quality Maintenance Technology Based on Loose r-sample
摘要
Abstract
In order to maintain the quality of the surface meshes in virtual surgery system, this paper proposes a fast reconstruction algorithm for surface mesh based on Loose r-sample theory. It records the sampling point set which satisfies Loose r-sample theory to describe object contour. It makes the dynamic Delaunay triangulation of the set and the labels of the Delaunay cells, and reconstructs new network. Experimental results show that this algorithm can maintain the quality of the meshes, and simplifies the simulation complexity.关键词
网格质量/虚拟手术系统/Loose r-sample理论/Delaunay三角剖分/Voronoi图/局部特征Key words
mesh quality/ virtual surgery system/ Loose r-sample theory/ Delaunay triangulation/ Voronoi diagram/ local feature分类
信息技术与安全科学引用本文复制引用
周喆,吕思哲,顾力栩..基于Loose r-sample的网格质量保持技术[J].计算机工程,2012,38(16):219-222,4.基金项目
国家“863”计划基金资助项目(2007AA012312) （2007AA012312）
国家自然科学基金资助项目(60571061) （60571061）
