• DocumentCode
    2241332
  • Title

    Multi-layer surface segmentation using energy minimization

  • Author

    Madarasmi, S. ; Kersten, D. ; Pong, T.C.

  • Author_Institution
    Univ. of Minnesota, Minneapolis, MN, USA
  • fYear
    1993
  • fDate
    15-17 Jun 1993
  • Firstpage
    774
  • Lastpage
    775
  • Abstract
    A multilayer, depth planes approach to image segmentation is proposed, where pixels may have arisen from a single smooth surface in the scene are represented in a common layer. Two types of output are produced at each pixel, i.e., a layer number and a vector of depth values, one value for each layer. The layer assignment performs image partitioning based on surface properties. The depth value assignment for each layer either represents the input data with the noise removed or interpolates between data values to fill-in nonvisible parts of the scene. The disjoint surfaces due to occlusion or transparency are also grouped together if they form a smooth surface
  • Keywords
    image segmentation; interpolation; minimisation; depth planes approach; depth value assignment; disjoint surfaces; energy minimization; image partitioning; image segmentation; interpolation; layer assignment; multilayer surface segmentation; occlusion; transparency; Additive noise; Bayesian methods; Computer science; Contracts; Gaussian noise; Image edge detection; Image segmentation; Layout; Nonhomogeneous media; Pixel; Psychology;
  • 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.1993.341169
  • Filename
    341169