计算机集成制造系统 ›› 2014, Vol. 20 ›› Issue (5): 1029-.DOI: 10.13196/j.cims.2014.05.zhangxu.1029.6.2014055

• 产品创新开发技术 • 上一篇    下一篇

基于辅助装置的多视点云精确配准方法

张旭1,张冉1,张学昌2   

  1. 1.上海工程技术大学机械工程学院
    2.浙江大学宁波理工学院
  • 出版日期:2014-05-30 发布日期:2014-06-12
  • 基金资助:
    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)。

Matching method of point cloud models based on auxiliary device

  • Online:2014-05-30 Published:2014-06-12
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.51205246,51075362),and the Shanghai College Cultivation and Support Plan for Young Teachers,China(No.shgcjs024).

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。

关键词: 位姿特征, 点云, 匹配, 逆向工程, 计算机辅助设计

Abstract: 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.

Key words: position and pose feature, point cloud, matching, reverse engineering, computer aided design

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