TR2006-109

Fast Image Registration via Joint Gradient Maximization: Application to Multi-Modal Data
Citation: Mei, X.; Porikli, F., "Fast Image Registration via Joint Gradient maximization: Application to Multimodal Data", SPIE Conference Electro-Optical and Infrared Systems Technology and Applications, ISBN: 9780819464934, Vol. 6395, September 2006 (SPIE Proceedings)
Date:September 2006
MERL Contact:Fatih Porikli

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 rigit motion, and show promising results.

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