Image registration based on subpixel localization and Cauchy-Schwarz divergence

Yongxin Ge; Dan Yang; Xiaohong Zhang; Liwen Lu

doi:10.1117/1.3455428

1 July 2010 Image registration based on subpixel localization and Cauchy-Schwarz divergence

Yongxin Ge, Dan Yang, Xiaohong Zhang, Liwen Lu

Author Affiliations +

Journal of Electronic Imaging, Vol. 19, Issue 3, 033001 (July 2010). https://doi.org/10.1117/1.3455428

Abstract

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.

©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Yongxin Ge, Dan Yang, Xiaohong Zhang, and Liwen Lu "Image registration based on subpixel localization and Cauchy-Schwarz divergence," Journal of Electronic Imaging 19(3), 033001 (1 July 2010). https://doi.org/10.1117/1.3455428

Published: 1 July 2010

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