FFT-based estimation of large motions in images: a robust gradient-based approach
Tzimiropoulos, Georgios and Argyriou, Vasileios and Stathaki, Tania (2009) FFT-based estimation of large motions in images: a robust gradient-based approach. In: 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2009), 19-24 April 2009, Taipei, Taiwan.
A fast and robust gradient-based motion estimation technique which operates in the frequency domain is presented. The algorithm combines the natural advantages of a good feature selection offered by gradient-based methods with the robustness and speed provided by FFT-based correlation schemes. Experimentation with real images taken from a popular database showed that, unlike any other Fourier-based techniques, the method was able to estimate translations, arbitrary rotations and scale factors in the range 4-6.
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