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Proceedings Paper

Motion estimation with Markov random fields by using a direct algorithm
Author(s): Moustapha Kardouchi; Albert Dipanda; Louis Legrand
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Paper Abstract

This paper presents a fast approach to the problem of velocity field estimation with Markov random fields. First, we propose to estimate the unknown velocity field by using a joint Markov random field through a convex markovian model which is called the energy function. Secondly, the estimated velocity field is determined explicitly by calculating the minimum of this energy function. The result obtained are compared in terms of CPU time and estimation quality to those obtained with the ICM.

Paper Details

Date Published: 19 August 1997
PDF: 9 pages
Proc. SPIE 3101, New Image Processing Techniques and Applications: Algorithms, Methods, and Components II, (19 August 1997); doi: 10.1117/12.281271
Show Author Affiliations
Moustapha Kardouchi, Univ. de Bourgogne (Canada)
Albert Dipanda, Univ. de Bourgogne (France)
Louis Legrand, Univ. de Bourgogne (France)


Published in SPIE Proceedings Vol. 3101:
New Image Processing Techniques and Applications: Algorithms, Methods, and Components II
Philippe Refregier; Rolf-Juergen Ahlers, Editor(s)

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