• DocumentCode
    3275157
  • Title

    A finite element contour approach to affine invariant shape representation

  • Author

    Ning Ding ; Huihuan Qian ; Yangsheng Xu

  • Author_Institution
    Mech. & Autom. Eng. Dept., Chinese Univ. of Hong Kong, Hong Kong, China
  • fYear
    2013
  • fDate
    15-18 Sept. 2013
  • Firstpage
    1451
  • Lastpage
    1455
  • Abstract
    This paper1 presents a novel shape representation approach, Finite Element Contour (FEC), based on studies of shape analysis from the perspective of Finite Element Method (FEM). We assume that an edge of a contour can be modeled as a bendable beam element. Linking finite number of beam elements end to end along the contour, we obtain a closed-loop Finite Element Contour model as an approximate physical model of the original shape. By this model, we can calculate its natural frequency, which is one of mechanical properties that directly related to the geometric shape, and employed it as the shape representation. FEC shape feature possesses translation and rotation invariant properties naturally. We also realized scale and unique affine normalization in few simple steps based on intrinsic physical properties of shape from FEM viewpoint. Experimental results validated that the proposed FEC feature is capable of identifying shape in object recognition task. It also can describe shape deformation. In the well-known MPEG 7 shape retrieval task, the enhanced FEC approach obtains Bullseye score 87.11%.
  • Keywords
    approximation theory; finite element analysis; image representation; image retrieval; object recognition; Bullseye score; FEC approach; FEM perspective; MPEG 7 shape retrieval task; affine invariant shape representation approach; affine normalization; approximate physical model; bendable beam element; closed-loop finite element contour model; contour edge; finite element contour approach; finite element method; geometric shape; object recognition task; rotation invariant properties; scale normalization; shape analysis; shape deformation; shape identification; translation invariant properties; Affine normalization; Contour shape representation; Finite Element Method; Natural Frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2013 20th IEEE International Conference on
  • Conference_Location
    Melbourne, VIC
  • Type

    conf

  • DOI
    10.1109/ICIP.2013.6738298
  • Filename
    6738298