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On the estimation of subpixel motion using phase correlation

[+] Author Affiliations
Vasileios Argyriou

University of Surrey, School of Electronics and Physical Sciences, Centre for Vision, Speech and Signal Processing, Guildford GU2 7XH, United Kingdom

Theodore Vlachos

University of Surrey, School of Electronics and Physical Sciences, Centre for Vision, Speech and Signal Processing, Guildford GU2 7XH, United Kingdom

J. Electron. Imaging. 16(3), 033018 (July 19, 2007). doi:10.1117/1.2762230
History: Received July 27, 2006; Revised April 02, 2007; Accepted April 17, 2007; Published July 19, 2007
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We propose a method for obtaining high-accuracy subpixel motion estimates using phase correlation. Our method is motivated by recently published analysis according to which the Fourier inverse of the normalized cross-power spectrum of pairs of images that have been mutually shifted by a fractional amount can be approximated by a two-dimensional sinc function. We propose a modified version of such a function to obtain a subpixel estimate of motion by means of variable-separable fitting in the vicinity of the maximum peak of the phase correlation surface. We demonstrate that our method outperforms, in terms of subpixel accuracy, not only other surface-fitting techniques but also the state-of-the-art in motion estimation using phase correlation including the technique that motivated our work in the first place. Furthermore, our method performs particularly well in the presence of artificially induced additive white Gaussian noise and also offers better motion vector coherence in terms of zero-order entropy.

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© 2007 SPIE and IS&T

Citation

Vasileios Argyriou and Theodore Vlachos
"On the estimation of subpixel motion using phase correlation", J. Electron. Imaging. 16(3), 033018 (July 19, 2007). ; http://dx.doi.org/10.1117/1.2762230


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