一种改进的点云数据精简算法  

An improved reduction algorithm of point cloud data

作　　者：樊彦国[1] 杨洪旭[1] 张维康[1] Fan Yanguo Yang Hongxu Zhang Weikang(China University of Petroleum（ East of China）,Qingdao 266555 ,Shandong,Chin)

机构地区：[1]中国石油大学(华东),青岛266555

出　　处：《现代制造工程》2016年第12期49-52,共4页Modern Manufacturing Engineering

摘　　要：近年来,三维点云数据压缩技术已成为逆向工程领域中的一个研究热点。在对点云分层技术研究的基础上提出了一种改进的点云数据压缩方法,该方法不需要确定点云间的邻接关系,可以直接对三维散乱点云数据进行处理。借助于Matlab平台编程实现点云数据精简,并利用程序构建精简后点云数据的网格模型。通过与原始点云的网格模型对比分析,表明此方法的精简效果比较理想。The reduction of three-dimensional point cloud data is a research hotspot in the field of reverse engineering in recent years. To deal with three-dimensional scattered point cloud data directly, proposed an improved algorithm based on the research of layer technology of point cloud data, and achieved the reduction of point cloud data through the program with the Madab platform. Built a grid model using the point cloud data obtained from the reduction algorithm and compared it with the grid model of original point cloud data. The result showed that the effect of the new algorithm was more ideal.

关 键 词：点云 数据精简 点云分层 角度偏差 MATLAB软件 

分 类 号：TP232[自动化与计算机技术—检测技术与自动化装置]