摘要
针对反求工程中的点云数据匹配问题,提出基于辅助测量信息位姿特征的点云模型匹配方法。设计特定辅助装置,在产品测量时获取辅助测量信息。采用连通性分析方法分割辅助测量数据,根据离散数据的微分属性分割辅助测量信息中的特征数据,提取统计特征构建位姿特征,对齐不同视角的位姿特征,实现点云数据的匹配。根据辅助测量信息进行配准,完全规避产品测量数据质量差的影响。实例验证表明,该匹配算法稳定、可靠,不需要初值和迭代运算,可一次获取全局最优解。
Aiming at the matching problem of point cloud data in reverse engineering,the matching method for point cloud models based on position and pose features of auxiliary measurement information was proposed.Special auxiliary device was designed to obtain the auxiliary information when product was measured.The auxiliary measurement information was segmented from the product data by using connectivity analysis,and the statistical features were extracted according to differential property of discrete data.Position and pose features were constructed based on the statistical features.The point cloud matching was realized through aligning the position and pose features.According to auxiliary measurement information,the matching could avoid poor quality of measuring data completely.The proposed algorithm was stable and reliable,which could obtain the global optimal solution at one time with no initial value and iterated operation.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2014年第5期1029-1034,共6页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(51205246
51075362)
上海高校青年教师培养计划资助项目(shgcjs024)~~
关键词
位姿特征
点云
匹配
逆向工程
计算机辅助设计
position and pose feature
point cloud
matching
reverse engineering
computer aided design
