A frequency domain approach to roto-translation estimation using gradient cross-correlation

Tzimiropoulos, Georgios; Argyriou, Vasileios; Stathaki, Tania

Abstract

A novel frequency domain approach to roto-translation estimation is presented. The baseline gradient cross-correlation method is extended to handle rotations. A key feature of the proposed scheme is the ability to achieve good performance in the presence of both large translations and rotations as well as noise, a scenario for which other Fourier- based methods typically fail. Robustness and accuracy in conjunction with computational efficiency, offered by the frequency domain formulation, make the algorithm useful in a number of image processing tasks such as image registration.

Citation

Tzimiropoulos, G., Argyriou, V., & Stathaki, T. (2008). A frequency domain approach to roto-translation estimation using gradient cross-correlation.

• Conference Name: British Machine Vision Conference (BMVC 2008)
• End Date: Sep 4, 2008
• Publication Date: Sep 2, 2008
• Deposit Date: Feb 1, 2016
• Peer Reviewed: Peer Reviewed
• Public URL: https://nottingham-repository.worktribe.com/output/705067
• Publisher URL: http://www.bmva.org/bmvc/2008/papers/211.html
• Additional Information: Published in: Proceedings of the British Machine Vision Conference 2008 (Leeds, September 2008). [Durham] : BMVA, 2008. ISBN: 978-1-9017-2536-0. doi: 10.5244/C.22.41