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Proceedings Paper

Robust point pattern relaxation matching with missing or spurious points and random errors
Author(s): Nong Sang; Sheng Zhong; Tianxu Zhang
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Paper Abstract

Relaxation matching is one of the most relevant methods for image matching. The original relaxation matching technique using point patterns is sensitive to distortions such as missing or spurious points and random errors. In this paper, we present a robust point pattern relaxation matching technique based on least median of squared errors estimation to improve the original point pattern relaxation matching technique to be robust to missing or spurious points and random errors. Experimental results with large simulated images and real images demonstrate the effectiveness and feasibility of the method to perform point pattern relaxation matching with missing or spurious points and random errors.

Paper Details

Date Published: 6 July 1998
PDF: 11 pages
Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); doi: 10.1117/12.316412
Show Author Affiliations
Nong Sang, Huazhong Univ. of Science and Technology (China)
Sheng Zhong, Huazhong Univ. of Science and Technology (China)
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 3387:
Visual Information Processing VII
Stephen K. Park; Richard D. Juday, Editor(s)

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