• DocumentCode
    2914547
  • Title

    Registration for 3D surfaces with large deformations using quasi-conformal curvature flow

  • Author

    Zeng, Wei ; Gu, Xianfeng David

  • fYear
    2011
  • fDate
    20-25 June 2011
  • Firstpage
    2457
  • Lastpage
    2464
  • Abstract
    A novel method for registering 3D surfaces with large deformations is presented, which is based on quasi-conformal geometry. A general diffeomorphism distorts the conformal structure of the surface, which is represented as the Beltrami coefficient. Inversely, the diffeomorphism can be determined by the Beltrami coefficient in an essentially unique way. Our registration method first extracts the features on the surfaces, then estimates the Beltrami coefficient, and finally uniquely determines the registration mapping by solving Beltrami equations using curvature flow. The method is 1) general, it can search the desired registration in the whole space of diffeomorphisms, which includes the conventional searching spaces, such as rigid motions, isometric transformations or conformal mappings; 2) global optimal, the global optimum is determined by the method unique up to a 3 dimensional transformation group; 3) robust, it handles large surfaces with complicated topologies; 4) rigorous, it has solid theoretic foundation. Experiments on the real surfaces with large deformations and complicated topologies demonstrate the efficiency, robustness of the proposed method.
  • Keywords
    conformal mapping; feature extraction; image reconstruction; image registration; 3D surfaces registration; Beltrami coefficient; Beltrami equations; curvature flow; deformations; diffeomorphism; feature extraction; image reconstruction; quasiconformal geometry; registration mapping; Conformal mapping; Equations; Face; Feature extraction; Measurement; Surface morphology; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4577-0394-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2011.5995410
  • Filename
    5995410