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Proceedings Paper

Motion estimation involving discontinuities in a multiresolution scheme
Author(s): Michel Barlaud; Laure Blanc-Feraud; Jean-Marc Collin
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Paper Abstract

In this paper, the problem of motion estimation is formulated mathematically and two classical methods are reviewed. Focus is then placed on a slightly different method which offers the advantage of stable convergence while providing a good approximation of the solution. Traditionally, the solution has been stabilized by regularization, as proposed by Tikhonov, i.e., by assuming a priori the smoothness of the solution. This hypothesis cannot be made globally over a field of motion vectors. Hence we propose a regularization process involving MOTION DISCONTINUITIES based on a Markov (MRF) model of motion. A new regularization function involving discontinuities is defined. Since the criterion is no longer quadratic, a deterministic relaxation method can be applied to estimate the global minimum. This relaxation scheme is based on the minimization of a sequence of quadratic functionals which tend toward the criterion. The algorithms presented were tested on two sequences: SPHERE, a synthetic sequence, and INTERVIEW, a real sequence.

Paper Details

Date Published: 1 November 1992
PDF: 16 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131469
Show Author Affiliations
Michel Barlaud, Univ. de Nice--Sophia Antipolis (France)
Laure Blanc-Feraud, Univ. de Nice--Sophia Antipolis (France)
Jean-Marc Collin, Univ. de Nice--Sophia Antipolis (France)

Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

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