This paper deals with a new method for estimation of motion field in image sequence coding domain. The proposed method is based on a pel-recursive technique and characterised by two fundamental points: the use of a convex function for the regularization and a deterministic relaxation algorithm for edge preserving regularization. These two points are completely new in motion estimation techniques.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Motion estimation based on Markov random fields


    Contributors:
    Rouchouze, B. (author) / Mathieu, P. (author) / Gaidon, T. (author) / Barlaud, M. (author)


    Publication date :

    1994-01-01


    Size :

    450273 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Motion Estimation Based on Markov Random Fields

    Rouchouze, B. / Mathieu, P. / Gaidon, T. et al. | British Library Conference Proceedings | 1994


    Motion estimation with Markov random fields by using a direct algorithm [3101-15]

    Kardouchi, M. / Dipanda, A. / Legrand, L. et al. | British Library Conference Proceedings | 1997


    Critical Markov Random Fields and Fractional Brownian Motion in Texture Synthesis

    Ghozi, R. / Levy, B. C. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994



    Motion Textures: Modeling, Classification And Segmentation Using Mixed-State Markov Random Fields

    Yao, Jian-Feng / Crivelli, Tomás / Cernuschi Frias, Bruno et al. | BASE

    Free access