• DocumentCode
    2238296
  • Title

    A nonlinear diffusion model for discontinuous disparity and half-occlusions in stereo

  • Author

    Shah, Jayant

  • Author_Institution
    Dept. of Math., Northeastern Univ., Boston, MA, USA
  • fYear
    1993
  • fDate
    15-17 Jun 1993
  • Firstpage
    34
  • Lastpage
    40
  • Abstract
    Most stereo algorithms do not take into account discontinuities in disparity and the fact that there are half-occlusions consisting of areas seen by one eye but not the other. Very few are formulated using the framework of energy functionals. A formulation that lies within such a framework and addresses the discontinuities and half-occlusions is presented. The formulation follows directly from the assumption that, when matching the left and right images, the order of points must be preserved. A model consisting of two coupled energy functions, corresponding to the two eyes, is presented. They are coupled in the sense that the discontinuity locus determined by one eye also determines the occluded area in the image seen by the other eye. A nonlinear system of diffusion equations is derived by simultaneously applying gradient descent to these functionals. The diffusion equations are implemented by a finite-difference scheme
  • Keywords
    image matching; stereo image processing; coupled energy functions; diffusion equations; discontinuity locus; discontinuous disparity; finite-difference scheme; gradient descent; half-occlusions; image matching; nonlinear diffusion model; stereo images; Cameras; Computer vision; Eyes; Face detection; Finite difference methods; Image segmentation; Mathematics; Nonlinear equations; Nonlinear systems; Pixel; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-3880-X
  • Type

    conf

  • DOI
    10.1109/CVPR.1993.341004
  • Filename
    341004