Motion estimation with Markov random fields by using a direct algorithm
Moustapha Kardouchi, Albert Dipandà, Louis Legrand · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997
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.