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Image registration based on subpixel localization and Cauchy–Schwarz divergence

[+] Author Affiliations
Yongxin Ge

Chongqing University, College of Computer Science, Chongqing 400030, China

Dan Yang

Chongqing University, School of Software Engineering, Chongqing 400030, China

Xiaohong Zhang

Chongqing University, School of Software Engineering, Chongqing 400030, China

Jiwen Lu

Nanyang Technological University, School of Electrical and Electronic Engineering, 639798, Singapore

J. Electron. Imaging. 19(3), 033001 (July 02, 2010). doi:10.1117/1.3455428
History: Received November 17, 2009; Revised March 23, 2010; Accepted May 10, 2010; Published July 02, 2010; Online July 02, 2010
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We define a new matching metric—corner Cauchy–Schwarz divergence (CCSD) and present a new approach based on the proposed CCSD and subpixel localization for image registration. First, we detect the corners in an image by a multiscale Harris operator and take them as initial interest points. And then, a subpixel localization technique is applied to determine the locations of the corners and eliminate the false and unstable corners. After that, CCSD is defined to obtain the initial matching corners. Finally, we use random sample consensus to robustly estimate the parameters based on the initial matching. The experimental results demonstrate that the proposed algorithm has a good performance in terms of both accuracy and efficiency.

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Citation

Yongxin Ge ; Dan Yang ; Xiaohong Zhang and Jiwen Lu
"Image registration based on subpixel localization and Cauchy–Schwarz divergence", J. Electron. Imaging. 19(3), 033001 (July 02, 2010). ; http://dx.doi.org/10.1117/1.3455428


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