特征驱动的曲面重建  

Surface reconstruction driven by features

作　　者：偶春生[1] 张佑生[1] 高隽[1] 汪荣贵[1] 

机构地区：[1]合肥工业大学计算机与信息学院,合肥230009

出　　处：《计算机应用研究》2008年第6期1756-1758,共3页Application Research of Computers

基　　金：国家自然科学基金资助项目(60575023)

摘　　要：提出了基于散乱空间点集进行曲面重建的新方法,从点集的空间位置信息中提取待建曲面的内蕴特征量——法向和曲率,利用点集的这些特征信息来确定拓扑重建的搜索空间,采用面片生长的方式重建曲面。该方法在快速获得正确拓扑连接的同时,直接生成了用较少的面片就能保持曲面特征的优化网格。This paper presented new method of surface reconstruction based on scatter points.normal and curvature as key features of the surface from the coordinate information of scatter points.For any reconstructed triangle patch created,Computed a new one by selecting a candidate point in the search domain determined by normal and curvature information.The mesh could be rapidly reconstructed and was also optimized for its detailed maintaining the shape feature.Proved to the method is be efficient by experimental results.

关 键 词：曲面重建 散乱点集 逆向工程 曲面特征 

分 类 号：TP391.72[自动化与计算机技术—计算机应用技术]