5 October 2006 Fast image registration via joint gradient maximization: application to multimodal data
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Abstract
We present a computationally inexpensive method for multi-modal image registration. Our approach employs a joint gradient similarity function that is applied only to a set high spatial gradient pixels. We obtain motion parameters by maximizing the similarity function by gradient ascent method, which secures a fast convergence. We apply our technique to the task of affine model based registration of 2D images which undergo large rigid motion, and show promising results.
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Xue Mei, Fatih Porikli, "Fast image registration via joint gradient maximization: application to multimodal data", Proc. SPIE 6395, Electro-Optical and Infrared Systems: Technology and Applications III, 63950P (5 October 2006); doi: 10.1117/12.690077; https://doi.org/10.1117/12.690077
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