中文摘要：

在分析线结构光扫描点云数据特点的基础上，讨论了针对测量点云数据精简算法，包括测量基面数据精简和基于弦高一角度偏差准则的数据精简算法．介绍了散乱数据的基于Delaunay三角剖分优化准则和Liang提出的相邻扫描线之间的三角网格构建方法，并在此基础上提出了一种改进方法，基于优化准则的线结构光扫描点云数据三角剖分算法。该算法符合Delaunay的三角最优剖分．以摩托车后视镜点云数据为例的实验结果表明该方法是有效的和切实可行的．图12，参11．

英文摘要：

On the basis of analyzing the characteristics of the point cloud from line-structure light scanning, the algorithms of data reduction for measured data were discussed, which include data reduction for base plane and chord-angular deviation. Optimizing criterions of scattered data based on Delaunay triangulation and Liang＇s method of constructing triangular meshes between two scanning lines were introduced, and an meliorating algorithm of triangulation was proposed, which was triangulation for line-structure scanned data based on optimizing criterions of Delaunay triangulation. The result of data handling for rearview mirror of motorcycle shows that the algorithm is efficient and feasible. 12figs., 11refs.