摘要
提出了一种基于 2维多边形集相似性度量的 3维模型检索方法 ,它的主要思想是用一组沿着特定方向的2维切片表示 3维模型 ,其中这些 2维切片由多个多边形组成 ,从而将 3维形状之间的匹配问题转换为多边形集之间的相似性度量问题。这种方法涉及以下 3个问题 :切片方向的选择、切割方法和多边形集之间的相似性度量。针对这些问题 ,分别给出了相应的方法和规则 。
In this paper, we present an approach based on similarity measuring between 2D polygon sets for 3D model retrieval. The basic idea is to represent the 3D model by a series of slices composed of 2D polygon sets along certain directions. In this way, the shape-matching problem between 3D models is transformed into the similarity measuring between 2D polygon sets, in which three problems are involved: the selection of cutting directions, cutting methods and similarity measuring. To solve these problems, some strategies and rules are proposed, and their are proved by some experiments.
出处
《中国图象图形学报(A辑)》
CSCD
北大核心
2004年第12期1437-1442,共6页
Journal of Image and Graphics
基金
国家自然科学基金资助 ( 6 0 3330 1 0 )