• DocumentCode
    2461036
  • Title

    A Symmetry-Based Generative Model for Shape

  • Author

    Trinh, Nhon H. ; Kimia, Benjamin B.

  • Author_Institution
    Brown Univ., Providence
  • fYear
    2007
  • fDate
    14-21 Oct. 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We propose a novel generative language for shape that is based on the shock graph: given a shock graph topology, we explore constraints on the geometry and dynamics of the shock graph branches at each point required to generate a valid shape, i.e., with no self-intersection, cusps, or crossovers. We model the shape boundary as a piece-wise smooth circular arc spline, which is dense in the space of piecewise smooth curves. Using this model we derive an independent set of parameters which generate a variety of shapes and satisfy the reconstruction constraints. We show simple examples of using this generative model as an active deformable shape and for morphing between two shapes. The results illustrate that it is possible to generate any generic shape with relatively few parameters, further reduced if prior knowledge of shape is available.
  • Keywords
    graph theory; image reconstruction; splines (mathematics); geometry; piecewise smooth circular arc spline; piecewise smooth curves; reconstruction constraints; shock graph topology; symmetry-based generative model; Active contours; Active shape model; Clouds; Deformable models; Electric shock; Geometry; Image reconstruction; Solid modeling; Spline; Topology;
  • 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.2007.4409022
  • Filename
    4409022