Georgios Tzimiropoulos
A frequency domain approach to roto-translation estimation using gradient cross-correlation
Tzimiropoulos, Georgios; Argyriou, Vasileios; Stathaki, Tania
Authors
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.
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) |
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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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