• DocumentCode
    2291575
  • Title

    Large displacement optical flow computation withoutwarping

  • Author

    Steinbrücker, Frank ; Pock, Thomas ; Cremers, Daniel

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Bonn, Bonn, Germany
  • fYear
    2009
  • fDate
    Sept. 29 2009-Oct. 2 2009
  • Firstpage
    1609
  • Lastpage
    1614
  • Abstract
    We propose an algorithm for large displacement optical flow estimation which does not require the commonly used coarse-to-fine warping strategy. It is based on a quadratic relaxation of the optical flow functional which decouples data term and regularizer in such a way that the non-linearized variational problem can be solved by an alternation of two globally optimal steps, one imposing optimal data consistency, the other imposing discontinuity-preserving regularity of the flow field. Experimental results confirm that the proposed algorithmic implementation outperforms the traditional warping strategy, in particular for the case of large displacements of small scale structures.
  • Keywords
    image sequences; coarse-to-fine warping strategy; large displacement optical flow computation; nonlinearized variational problem; optimal data consistency; optimal steps; quadratic relaxation; Biomedical optical imaging; Computer applications; Computer graphics; Computer science; Computer vision; Image motion analysis; Image reconstruction; Motion estimation; Optical computing; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2009 IEEE 12th International Conference on
  • Conference_Location
    Kyoto
  • ISSN
    1550-5499
  • Print_ISBN
    978-1-4244-4420-5
  • Electronic_ISBN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2009.5459364
  • Filename
    5459364