• DocumentCode
    3333082
  • Title

    Correspondence-Less Non-rigid Registration of Triangular Surface Meshes

  • Author

    Santa, Zsolt ; KATO, ZOLTAN

  • Author_Institution
    Image Process. & Comput. Graphics Dept., Univ. of Szeged, Szeged, Hungary
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    2275
  • Lastpage
    2282
  • Abstract
    A novel correspondence-less approach is proposed to find a thin plate spline map between a pair of deformable 3D objects represented by triangular surface meshes. The proposed method works without landmark extraction and feature correspondences. The aligning transformation is found simply by solving a system of nonlinear equations. Each equation is generated by integrating a nonlinear function over the object´s domains. We derive recursive formulas for the efficient computation of these integrals. Based on a series of comparative tests on a large synthetic dataset, our triangular mesh-based algorithm outperforms state of the art methods both in terms of computing time and accuracy. The applicability of the proposed approach has been demonstrated on the registration of 3D lung CT volumes.
  • Keywords
    computerised tomography; deformation; image registration; image representation; integral equations; medical image processing; mesh generation; nonlinear equations; nonlinear functions; splines (mathematics); 3D deformable object representation; 3D lung CT volume registration; correspondence less nonrigid registration; integral; nonlinear equation; nonlinear function integration; recursive formula; thin plate spline map; transformation alignment; triangular mesh-based algorithm; triangular surface mesh; Approximation methods; Computational complexity; Equations; Mathematical model; Splines (mathematics); Three-dimensional displays; 3D object; Registration; Sufrace Mesh; Thin Plate Spline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2013.295
  • Filename
    6619139