"Hedgehog Point" feature point matching based on point structure information

Yi-dan Xu; Xian-wei Zhu; Qi-feng Yu

doi:10.1117/12.836621

5 August 2009 "Hedgehog Point" feature point matching based on point structure information

Yi-dan Xu, Xian-wei Zhu, Qi-feng Yu

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 73834O (2009) https://doi.org/10.1117/12.836621
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

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.

Citation Download Citation

Yi-dan Xu, Xian-wei Zhu, and Qi-feng Yu ""Hedgehog Point" feature point matching based on point structure information", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 73834O (5 August 2009); https://doi.org/10.1117/12.836621

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