计算机与数字工程2011，Vol.39Issue(12)：20-22,3.
基于点云法矢变化的点云简化方法研究
Data Point Reduction Research Based on Normal Vector Change
摘要
Abstract
To improve the efficiency of entity reverse building, this paper proposed a method to reduce cloud data quickly. This method subdivided point cloud into many cubic grids, searched the nearest neighbors of a measured point based on topologized structure of cubic grids, and adopted a self-adjustable algorithm based on triangle surface to compute the normal vectors of every metrical point Then the distance between the metrical point and local plane was computed, and the data point was reduced according to the set bonnet value of normal angle and distance. The result shows that this method can obviously impove the efficiency of data cloud reducing.关键词
反求工程/点云/栅格划分/法矢Key words
reverse engineering/data cloud/grid subdividing/normal vector分类
信息技术与安全科学引用本文复制引用
张晶,杨云生,丰少伟..基于点云法矢变化的点云简化方法研究[J].计算机与数字工程,2011,39(12):20-22,3.基金项目
湖北省自然科学基金项目(编号:2009CDB087)资助. （编号:2009CDB087）
