• DocumentCode
    2918075
  • Title

    Submodularity beyond submodular energies: Coupling edges in graph cuts

  • Author

    Jegelka, Stefanie ; Bilmes, Jeff

  • Author_Institution
    Max Planck Inst. Tubingen, Germany
  • fYear
    2011
  • fDate
    20-25 June 2011
  • Firstpage
    1897
  • Lastpage
    1904
  • Abstract
    We propose a new family of non-submodular global energy functions that still use submodularity internally to couple edges in a graph cut. We show it is possible to develop an efficient approximation algorithm that, thanks to the internal submodularity, can use standard graph cuts as a subroutine. We demonstrate the advantages of edge coupling in a natural setting, namely image segmentation. In particular, for fine-structured objects and objects with shading variation, our structured edge coupling leads to significant improvements over standard approaches.
  • Keywords
    approximation theory; graph theory; image segmentation; approximation algorithm; edge coupling; fine structured objects; graph cuts; image segmentation; nonsubmodular global energy functions; shading variation; submodular energies; Approximation algorithms; Approximation methods; Computer vision; Couplings; Image edge detection; Image segmentation; Labeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4577-0394-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2011.5995589
  • Filename
    5995589