Robust point pattern relaxation matching with missing or spurious points and random errors

Nong Sang; Sheng Zhong; Tianxu Zhang

doi:10.1117/12.316412

6 July 1998 Robust point pattern relaxation matching with missing or spurious points and random errors

Nong Sang, Sheng Zhong, Tianxu Zhang

Proceedings Volume 3387, Visual Information Processing VII; (1998) https://doi.org/10.1117/12.316412
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

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.

Citation Download Citation

Nong Sang, Sheng Zhong, and Tianxu Zhang "Robust point pattern relaxation matching with missing or spurious points and random errors", Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); https://doi.org/10.1117/12.316412

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