• DocumentCode
    2627720
  • Title

    Visual organization for figure/ground separation

  • Author

    Geiger, Davi ; Kumaran, Krishnan ; Parida, Laxmi

  • Author_Institution
    Courant Inst. of Math. Sci., New York, NY, USA
  • fYear
    1996
  • fDate
    18-20 Jun 1996
  • Firstpage
    155
  • Lastpage
    160
  • Abstract
    A common factor in all illusory contour figures is the perception of a surface occluding part of a background. In our previous work, we have shown we could diffuse a proper set of junction hypothesis (what is salient or background) to obtain a surface where their boundaries represented illusory contours. Amodal completions emerge at the overlapping surfaces. We address the problem of selecting the best image organization (set of hypothesis). We propose an optimization criteria based on a coherence measure between pairs of junctions (correlation between the diffusion of each pair). A statistical physics approach to select the best organization is applied. The experiments suggest that despite the large number of possible organizations our approach may take only a few steps (in organization space) to select the best one
  • Keywords
    computer vision; image reconstruction; coherence measure; figure/ground separation; illusory contour figures; junction hypothesis; optimization criteria; visual organization; Bayesian methods; Coherence; Entropy; Feature extraction; Jacobian matrices; Labeling; Physics; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1996. Proceedings CVPR '96, 1996 IEEE Computer Society Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7259-5
  • Type

    conf

  • DOI
    10.1109/CVPR.1996.517068
  • Filename
    517068