1 November 1992 Motion estimation involving discontinuities in a multiresolution scheme
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Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131469
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michel Barlaud, Laure Blanc-Feraud, and Jean-Marc Collin "Motion estimation involving discontinuities in a multiresolution scheme", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131469; https://doi.org/10.1117/12.131469

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