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

Tzimiropoulos, Georgios; Argyriou, Vasileios; Stathaki, Tania

Authors

Georgios Tzimiropoulos

Vasileios Argyriou

Tania Stathaki



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.

Publication Date Sep 2, 2008
Peer Reviewed Peer Reviewed
Institution Citation Tzimiropoulos, G., Argyriou, V., & Stathaki, T. (2008). A frequency domain approach to roto-translation estimation using gradient cross-correlation
Publisher URL http://www.bmva.org/bmvc/2008/papers/211.html
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
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


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