Region registration of large-scale IR/visual images based on improved SC algorithm

Xiaoqian Zhang; Junshan Li; Zhongmin Zhang; Yonghong Du

doi:10.1117/12.2070919

18 September 2014 Region registration of large-scale IR/visual images based on improved SC algorithm

Xiaoqian Zhang, Junshan Li, Zhongmin Zhang, Yonghong Du

Proceedings Volume 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 928225 (2014) https://doi.org/10.1117/12.2070919
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China

Abstract

This paper proposes an automatic method for IR and visible images matching without any assumption about initial alignment. This paper details our interest region extraction method for optical images and also the efficient region matching component. An improved shape context descriptor is constituted. The algorithm introduces in uniform pattern to make the extracted component decrease to 20 with rotation invariance Experiments using several IR and visible images illustrate the effectiveness of the proposed even when facing considerably geometric distortions. Even at different time and under special weather condition, it still has a higher average correct matching ratio than SURF and better robustness and it has a high efficiency, a short running time.

Citation Download Citation

Xiaoqian Zhang, Junshan Li, Zhongmin Zhang, and Yonghong Du "Region registration of large-scale IR/visual images based on improved SC algorithm", Proc. SPIE 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 928225 (18 September 2014); https://doi.org/10.1117/12.2070919

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