• DocumentCode
    2853461
  • Title

    Axial representations of 3D shapes

  • Author

    Cao, Yan

  • Author_Institution
    Div. of Appl. Math., Brown Univ., Providence, RI, USA
  • fYear
    2003
  • fDate
    28 Sept.-1 Oct. 2003
  • Firstpage
    311
  • Lastpage
    314
  • Abstract
    Many shapes can be described very well in terms of an axis. Examples are the stick figure drawings of man and animals from ancient times. We would like to give a natural (intuitive) definition of axis for cylindrical shapes. For 2D shapes, the medial axis is a good candidate, though it is sensitive to perturbations. For 3D shapes, the medial scaffold is often complicated surfaces and does not match people´s intuitions very well. In this paper, we give a new definition of axis for generalized cylinders. This approach uses a regression point of view, defining the axis as a minimization point of a global energy function. We prove the existence of a solution and give the equations of the minimization point and stability conditions. We also apply the definition to some real and artificial examples. Our goal is to produce natural (intuitive) shape descriptions for 2D and 3D shapes. We believe that is essential for building general object recognition systems. It would be also useful in shape classification and compression.
  • Keywords
    data compression; image classification; image coding; minimisation; object recognition; 3D shapes; axial representations; cylindrical shapes; general objects recognition systems; generalized cylinders; global energy function; medial axis; medial scaffold; minimization point; regression point of view; shape classification; shape compression; stability conditions; stick figure drawings; Animals; Computer vision; Equations; Geometry; Mathematics; Shape; Skeleton; Stability; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing, 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-7997-7
  • Type

    conf

  • DOI
    10.1109/SSP.2003.1289407
  • Filename
    1289407