• DocumentCode
    2455243
  • Title

    Registration of Surfaces to 3D Images Using Rigid Body Surfaces

  • Author

    Li, Bing ; Millington, Steven A. ; Anderson, Donald D. ; Acton, Scott T.

  • Author_Institution
    Univ. of Virginia, Charlottesville, VA
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    416
  • Lastpage
    420
  • Abstract
    We propose a constrained active surface model, called the rigid body surface, that deforms via rigid body transformation. In each iteration, the surface is deformed first via partial differential equations and then the least-squares estimate of the rigid body transformation between the deformed surface and predefined surface is calculated. The rigid body transformation estimate is based upon the singular value decomposition. Experimental results on surface-to-3D image and surface-to-surface registration illustrate the insensitivity of the rigid body surface to noise and initialization. In addition to registration, rigid body surfaces can be employed for image segmentation and tracking when the target shape is predefined.
  • Keywords
    image registration; image segmentation; least squares approximations; partial differential equations; 3D images; constrained active surface model; image segmentation; least-squares estimation; partial differential equations; rigid body surfaces; rigid body transformation; surface registration; surface-to-3D image; surface-to-surface registration; Active noise reduction; Biomedical imaging; Cities and towns; Deformable models; Image segmentation; Noise shaping; Partial differential equations; Shape; Singular value decomposition; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0784-2
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2006.354780
  • Filename
    4176590