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Proceedings Paper

Range image registration based on weighted iterative closest point algorithm
Author(s): Xianfeng Wu; Zhijun Liu
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Paper Abstract

Range image can be obtained by 3D-Scanning and needs registration. Based on the classic ICP (Iterative Closest Point) algorithm, this paper presents an improved ICP method. The classic ICP uses the 3D point-to-point distance as the error measurement function. In our paper, the point-to-point distance will be replaced by a point-to-facet distance. By formula derivation, this measurement function can be transformed into facet-weighted point-to-point distance. We apply this method for range image registration and the result shows the validity of this algorithm, which has faster convergence rate and better anti-noise attribute than previously described weighted ICP methods.

Paper Details

Date Published: 25 October 2013
PDF: 5 pages
Proc. SPIE 8919, MIPPR 2013: Pattern Recognition and Computer Vision, 89191B (25 October 2013); doi: 10.1117/12.2031210
Show Author Affiliations
Xianfeng Wu, Shenzhen Institute of Information and Technology (China)
Zhijun Liu, Shenzhen Institute of information and Technology (China)


Published in SPIE Proceedings Vol. 8919:
MIPPR 2013: Pattern Recognition and Computer Vision
Zhiguo Cao, Editor(s)

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