• DocumentCode
    2795275
  • Title

    Efficient Registration of 3D SPHARM Surfaces

  • Author

    Shen, Li ; Huang, Heng ; Makedon, Fillia ; Saykin, Andrew J.

  • Author_Institution
    Univ. of Massachusetts Dartmouth, Dartmouth
  • fYear
    2007
  • fDate
    28-30 May 2007
  • Firstpage
    81
  • Lastpage
    88
  • Abstract
    We present SHREC, an efficient algorithm for registration of 3D SPHARM (spherical harmonic) surfaces. SHREC follows the iterative closest point (ICP) registration strategy, and alternately improves the surface correspondence and adjusts the object pose. It establishes the surface correspondence by aligning the underlying SPHARM parameterization. It employs a rotational property of the harmonic expansion to accelerate its step for parameterization rotation. It uses a hierarchical icosahedron approach to sample the rotation space and searches for the best parameterization that matches the template. Our experimental results show that SHREC can not only create more accurate registration than previous methods but also do it efficiently. SHREC is a simple, efficient and general registration method, and has a great potential to be used in many shape modeling and analysis applications.
  • Keywords
    image matching; image registration; solid modelling; 3D SPHARM surface; hierarchical icosahedron approach; image matching; image registration; iterative closest point registration strategy; Application software; Biomedical imaging; Computer graphics; Computer vision; Ellipsoids; Image analysis; Iterative algorithms; Iterative closest point algorithm; Mathematical model; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2007. CRV '07. Fourth Canadian Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    0-7695-2786-8
  • Type

    conf

  • DOI
    10.1109/CRV.2007.26
  • Filename
    4228526