摘要
多视点云数据的对齐(拼接)问题是逆向工程研究的热点问题之一。在ICP算法的基础上,提出通过在数据测量时放置基准物体,建立点云数据对齐特征,在进行多视点云数据拼接时对对齐特征增加约束的方法,实现多视点云数据的快速对齐。并对基于三个基准点约束对齐的对齐精度进行了分析,提出了减少对齐误差的措施,最后通过实例对研究结果加以分析验证。
Point cloud registration of multiple views is one of research problems in reverse engineering. In this peper based on ICP algorithm a quick registration method of multiple views is put forward by placing reference objects during measuring product, then the registration features are built in terms of reference objects, and restraints between registration features are added to accomplish quick registration. Registration accuracy is analyzed with three fiducial points restraints, and the strategy for reducing registeation errors is given. Finally an instance is illustrated based on the above research work.
出处
《机械设计与研究》
CSCD
北大核心
2009年第1期7-9,14,共4页
Machine Design And Research
基金
江苏省自然科学基金资助项目(BD2007042)
江苏省“六大人才高峰”资助项目(06-D-034)
河海大学创新基金资助项目(xzx108B022-01)
关键词
逆向工程
ICP算法
约束
多视点云数据对齐
对齐精度
reverse engineering
ICP algorithm
restraints
point cloud registration of multiple views
registration accuracy
