Abstract
Phase correlation techniques have been used in image registration to estimate image displacements. These techniques have been also used to estimate optical flow by applying it locally. In this work a different phase correlation-based method is proposed to deal with a deformation/translation motion model, instead of the pure translations that the basic phase correlation technique can estimate. Some experimentals results are also presented to show the accuracy of the motion paramenters estimated and the use of the phase correlation to estimate optical flow.
This work has been partially supported by the JP/ij-estades/96 grant from the Generalitat Valenciana, and ESPRIT project EP21007 IOTA.
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Alliney, S. and Morandi, C.; “Digital image registration using projections”, IEEE Trans. Patt. Anal. Mach. Intel., vol. PAMI-8, no. 2, pp. 222–233, 1986.
Barron, J.; Fleet, D. and Beauchemin, S.; “Performance of optical flow techniques”, Int. J. Comp. Vision, vol. 12, pp. 43–77, 1994.
Bober, M. and Kittler, J.; “Robust motion analysis”, Proc. of IEEE Conf., on Computer Vision and Pattern Recognition, Seatle, pp. 947–952, 1994.
Bracewell, R. N.; The Fourier transform and its applications, McGraw Hill, 1986.
De Castro, E. and Morandi, C.; “Registration of translated and rotated images using finite Fourier transforms”, IEEE Trans. Patt. Anal. Mach. Intel., vol. PAMI-9, no. 5, pp. 700–703, 1987.
Ghraravi, H. and Mills, M.; “Block-matching motion estimation algorithms: New results”, IEEE Trans. Circ. and Syst., vol. 37, pp. 649–651, 1990.
Horn, B.K.P. and Schunk, B. G.; “Determining optical flow”, Artificial Intelligence, vol. 5, no. 3, pp. 276–287, 1993.
Iu, S. L.; “Robust estimation of motion vector fields with discontinuity and occlusion using local outliers rejection”, SPIE, vol. 2094, pp. 588–599, 1993.
Jacobson, L. and Wechsler, H.; “Derivation of optical flow using a spatiotemporal-frequency approach”, Computer Vision, Graphics and Image Processing, vol. 38, pp. 29–65, 1987.
Konrad, J. and Dubois, E.; “Comparison of stochastic and deterministic solution methods in Bayesian estimation of 2D motion”, Image and Vision Computing, vol. 9, pp. 215–228, 1991.
Liu, B. and Zaccarin, A.;“New fast algorithms for the estimation of block motion vectors”, IEEE Trans. Circ. and Syst. Video Tech., vol. 3, no. 2, pp. 148–157, 1993.
Lucas, B. D. and Kanade, T.; “An iterative image registration technique with an application to stereo vision”, Proc. DARPA Image Understanding Workshop, pp. 121–130, 1981.
Tekalp, A. M.; Digital video processing, Prentice Hall, 1995.
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© 1997 Springer-Verlag Berlin Heidelberg
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Pla, F., Bober, M. (1997). Estimating translation/deformation motion through phase correlation. In: Del Bimbo, A. (eds) Image Analysis and Processing. ICIAP 1997. Lecture Notes in Computer Science, vol 1310. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63507-6_257
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DOI: https://doi.org/10.1007/3-540-63507-6_257
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