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- W1993741734 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.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
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- W1993741734 date "1992-11-01" @default.
- W1993741734 modified "2023-09-23" @default.
- W1993741734 title "<title>Motion estimation involving discontinuities in a multiresolution scheme</title>" @default.
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- W1993741734 doi "https://doi.org/10.1117/12.131469" @default.
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