• DocumentCode
    2460889
  • Title

    Separating Parts from 2D Shapes using Relatability

  • Author

    Mi, Xiaofeng ; DeCarlo, Doug

  • Author_Institution
    Rutgers Univ., New Brunswick
  • fYear
    2007
  • fDate
    14-21 Oct. 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    It´s often important to analyze shapes as made up of parts. But there are two ways to think of how parts fit together. We can characterize the remainder of a shape after apart is removed; here we want to cut the shape so what remains has the simplest possible structure. Alternatively, we can cut out the part so that the part itself takes on a simple shape. These cuts do not directly give rise to a segmentation of the shape; a point inside the shape may associate with the part, the remainder, neither, or both. We present a new model for reconstructing these cuts based on the differential geometry of smoothed local symmetries. The model takes into account relatability (which characterizes clean cuts) to determine part boundaries. Our approach complements and unifies existing work on part- based segmentation of shape, and can be used to construct interesting simplifications of shapes.
  • Keywords
    computer vision; differential geometry; image segmentation; 2D shapes; cut reconstruction; differential geometry; shape analysis; shape part-based segmentation; shape segmentation; shape simplifications; smoothed local symmetries; Application software; Cognitive science; Computer science; Computer vision; Geometry; Marine animals; Mathematical model; Shape; Solid modeling; Tail;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    1550-5499
  • Print_ISBN
    978-1-4244-1630-1
  • Electronic_ISBN
    1550-5499
  • Type

    conf

  • DOI
    10.1109/ICCV.2007.4409014
  • Filename
    4409014