特征驱动的曲面重建

Surface reconstruction driven by features

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.