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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.

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


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