A frequency domain approach to roto-translation estimation using gradient cross-correlation
Tzimiropoulos, Georgios and Argyriou, Vasileios and Stathaki, Tania (2008) A frequency domain approach to roto-translation estimation using gradient cross-correlation. In: British Machine Vision Conference (BMVC 2008), 1-4 September 2008, Leeds, UK.
Official URL: http://www.bmva.org/bmvc/2008/papers/211.html
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.
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