• DocumentCode
    425407
  • Title

    Bayesian Stereo Matching

  • Author

    Cheng, Li ; Caelli, Terry

  • Author_Institution
    University of Alberta, Edmonton, Canada
  • fYear
    2004
  • fDate
    27-02 June 2004
  • Firstpage
    192
  • Lastpage
    192
  • Abstract
    In this paper we explore a Bayesian framework for inferring the disparity map from an image pair. Markov Chain Monte Carlo sampling techniques are employed for learning the hyper-parameters which control two robust statistical functions for modelling the specific image pair; and loopy belief propagation is used for approximate inference of the MAP disparity map. Encouraging results are obtained on a standard set of image pairs.
  • Keywords
    Bayesian methods; Belief propagation; Hidden Markov models; Image sampling; Inference algorithms; Least squares approximation; Markov random fields; Monte Carlo methods; Robust control; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshop, 2004. CVPRW '04. Conference on
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.33
  • Filename
    1384992
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=425407