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Proceedings Paper

"Hedgehog Point" feature point matching based on point structure information
Author(s): Yi-dan Xu; Xian-wei Zhu; Qi-feng Yu
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Paper Abstract

Based on points structure information, this paper presents a new method called "hedgehog point" matching, a fast algorithm for point pattern matching is proposed to effectively solve the problems of optimal matches between two point pattern under geometrical transformation and correctly identify the missing or spurious points of patterns. Theorems and algorithms are developed to determine the matching pairs support of each point pair and its transformation parameters (scaling S and rotation θ) on a two-parameter space (S, θ). Experiments are conducted both on real and synthetic data. The experimental results show that the proposed matching algorithm can handle translation, rotation, and scaling differences under noisy or distorted condition.

Paper Details

Date Published: 5 August 2009
PDF: 7 pages
Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73834O (5 August 2009); doi: 10.1117/12.836621
Show Author Affiliations
Yi-dan Xu, National Univ. of Defense Technology (China)
Xian-wei Zhu, National Univ. of Defense Technology (China)
Qi-feng Yu, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 7383:
International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications

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