• DocumentCode
    2954414
  • Title

    Elastic Registration of 3D Deformable Objects

  • Author

    Santa, Zsolt ; KATO, ZOLTAN

  • Author_Institution
    Image Process. & Comput. Graphics Dept., Univ. of Szeged, Szeged, Hungary
  • fYear
    2012
  • fDate
    3-5 Dec. 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    A novel correspondence-less approach is proposed to find a non-linear aligning transformation between a pair of deformable 3D objects. Herein, we consider a polynomial deformation model, but our framework can be easily adapted to other common deformations. The basic idea of the proposed method is to set up a system of nonlinear equations whose solution directly provides the parameters of the aligning transformation. Each equation is generated by integrating a nonlinear function over the object´s domains. Thus the number of equations is determined by the number of adopted nonlinear functions yielding a flexible mechanism to generate sufficiently many equations. While classical approaches would establish correspondences between the shapes, our method works without landmarks. The efficiency of the proposed approach has been demonstrated on a large synthetic dataset as well as in the context of medical image registration.
  • Keywords
    image registration; nonlinear equations; object detection; polynomials; shape recognition; 3D deformable objects; elastic registration; medical image registration; nonlinear aligning transformation; nonlinear equations; polynomial deformation model; synthetic dataset; Computational complexity; Deformable models; Mathematical model; Nickel; Polynomials; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Image Computing Techniques and Applications (DICTA), 2012 International Conference on
  • Conference_Location
    Fremantle, WA
  • Print_ISBN
    978-1-4673-2180-8
  • Electronic_ISBN
    978-1-4673-2179-2
  • Type

    conf

  • DOI
    10.1109/DICTA.2012.6411674
  • Filename
    6411674