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Error analysis of two methods for range-images registration
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Paper Abstract

With the improvements in range image registration techniques, this paper focuses on error analysis of two registration methods being generally applied in industry metrology including the algorithm comparison, matching error, computing complexity and different application areas. One method is iterative closest points, by which beautiful matching results with little error can be achieved. However some limitations influence its application in automatic and fast metrology. The other method is based on landmarks. We also present a algorithm for registering multiple range-images with non-coding landmarks, including the landmarks' auto-identification and sub-pixel location, 3D rigid motion, point pattern matching, global iterative optimization techniques et al. The registering results by the two methods are illustrated and a thorough error analysis is performed.

Paper Details

Date Published: 7 September 2010
PDF: 8 pages
Proc. SPIE 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII, 77990S (7 September 2010); doi: 10.1117/12.860005
Show Author Affiliations
Xiaoli Liu, Shenzhen Univ. (China)
Yongkai Yin, Tianjin Univ. (China)
Ameng Li, Shenzhen Univ. (China)
Dong He, Shenzhen Univ. (China)
Xiang Peng, Shenzhen Univ. (China)

Published in SPIE Proceedings Vol. 7799:
Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII
Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)

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