• DocumentCode
    2082282
  • Title

    A General Framework and New Alignment Criterion for Dense Optical Flow

  • Author

    Ben-Ari, Rami ; Sochen, Nir

  • Author_Institution
    Tel Aviv University
  • Volume
    1
  • fYear
    2006
  • fDate
    17-22 June 2006
  • Firstpage
    529
  • Lastpage
    536
  • Abstract
    The problem of dense optical flow computation is addressed from a variational viewpoint. A new geometric framework is introduced. It unifies previous art and yields new efficient methods. Along with the framework a new alignment criterion suggests itself. It is shown that the alignment between the gradients of the optical flow components and between the latter and the intensity gradients is an important measure of the flow’s quality. Adding this criterion as a requirement in the optimization process improves the resulting flow. This is demonstrated in synthetic and real sequences.
  • Keywords
    Anisotropic magnetoresistance; Art; Computer vision; Geometrical optics; Image motion analysis; Image processing; Mathematics; Optical computing; Optical devices; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2597-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2006.25
  • Filename
    1640801