• DocumentCode
    2827118
  • Title

    Dynamic Markov Random Fields

  • Author

    Torr, P.H.S.

  • Author_Institution
    Dept. of Comput., Oxford Brookes Univ., Oxford
  • fYear
    2008
  • fDate
    3-5 Sept. 2008
  • Firstpage
    21
  • Lastpage
    26
  • Abstract
    In this talk the author will outline some of the recent work undertaken by the Oxford Brookes Vision Group, a common theme underlying much of the research is to cast vision problems in terms of combinatorial optimization which provides a rich a deep theory for understanding them, with many new and exciting results.
  • Keywords
    Markov processes; combinatorial mathematics; computer vision; optimisation; random processes; combinatorial optimization; computer vision; dynamic Markov random fields; Computer vision; Face detection; Humans; Image processing; Image reconstruction; Image segmentation; Layout; Machine vision; Markov random fields; Motion estimation; Blending online and offline Computation; Markov Random Fields; Pose Estimation; Segmentation; Structure from Motion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Image Processing Conference, 2008. IMVIP '08. International
  • Conference_Location
    Portrush
  • Print_ISBN
    978-0-7695-3332-2
  • Type

    conf

  • DOI
    10.1109/IMVIP.2008.33
  • Filename
    4624379
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2827118