Pseudo-Polar Based Estimation of Large Translations Rotations and Scalings in Images

Authors:
Yosi Keller;Amir Averbuch;Moshe Israeli
Affiliations:
Yale University, New Haven, CT;Tel-Aviv University, Israel;Technion Institute of Technology, Israel
Venue:
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Year:
2005

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Abstract

One of the major challenges related to image registration is the estimation of large motions without prior knowledge. This paper presents a Fourier based approach that estimates large translation, scale and rotation motions.The algorithm uses the pseudo-polar transform to achieve substantial improved approximations of the polor and log-polar Fourier transforms of an image.Thus, rotation and scale changes are reduced to translations which are estimated using phase correlation.By utilizing the pseudo-polar grid we increase the performance (accuracy, speed, robustness) of the registration algorithms.Scales up to 4 and arbitrary rotation angles can be robustly recovered, compared to a maximum scaling of 2 recovered by the current state-of-the-art algorithms. The algorithm utilizes only 1D FFT calculations whose overall complexity is significantly lower than prior works.Experimental results demosntrate the applicability of these algorithms.