Matching method of point cloud models based on auxiliary device

被引：0
作者：
Zhang, Xu [1 ]
Zhang, Ran [1 ]
Zhang, Xue-Chang [2 ]
机构：
[1] College of Mechanical Engineering, Shanghai University of Engineering Science
[2] Ningbo Institute of Technology, Zhejiang University
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2014年 / 20卷 / 05期
关键词：
Computer aided design; Matching; Point cloud; Position and pose feature; Reverse engineering;
D O I：
10.13196/j.cims.2014.05.zhangxu.1029.6.2014055
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：1029 / 1034
页数：5
相关论文
共 11 条
  • [1] Yamany S.M., Farag A.A., Free-form surface registration using surface signatures, Proceedings of the IEEE International Conference on Computer Vision, 2, pp. 1098-1104, (1999)
  • [2] Andrew E.J., Spin-images: A representation for 3-D surface matching, (1997)
  • [3] Zhang D.M., Harmonic shape images: A 3D free-form surface representation and its applications in surface matching, (1999)
  • [4] Fridtjof S., Gerard M., Structural indexing: Efficient 3-D object recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 2, pp. 125-145, (1992)
  • [5] Jin T., Shan Y., Tong S., 3D measuring points registration based on datum points in reverse engineering, Journal of Computer Aided Design & Computer Graphics, 13, 4, pp. 315-318, (2001)
  • [6] Besi P.J., Mckay N.D., A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 14, 2, pp. 239-256, (1992)
  • [7] Szymon M.R., Real-time acquisition and rendering of large 3D models, (2001)
  • [8] Cheng Y., Zhang D., Bu K., Et al., Model registration control point set selection for turbine blade shape inspection, Journal of Mechanical Engineering, 45, 11, pp. 239-246, (2009)
  • [9] Luo X., Zhong Y., Li R., Data registration in 3-D scanning systems, Journal of Tsinghua University, 44, 8, pp. 1104-1106, (2004)
  • [10] Helmut P., Stdfan L., Michael H., Registration without ICP, Computer Vision and Image Understanding, 95, 1, pp. 54-71, (2004)
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