• DocumentCode
    2903972
  • Title

    A quick 3D-2D registration method for a wide-range of applications

  • Author

    Kita, Yasuyo ; Wilson, Dale L. ; Noble, J. Alison ; Kita, Nobuyuki

  • Author_Institution
    Div. of Intelligent Syst., Electrotech. Lab., Tsukuba, Japan
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    981
  • Abstract
    A method for quick determination of the position and pose of a 3D free-form object with respect to its 2D projective image(s) is proposed. It is a precondition of the method that a 3D model of the object and an initial estimation of the state are given. We (1998) have previously proposed a 3D-2D registration method for the real-time registration of a 3D model of a cerebral vessel tree to an X-ray image of the vessel. Here we extend this method to meet a more general purpose. First, the formulae for obtaining the 3D model transformation from 3D-2D point pairs are generalized by describing camera´s coordinates independently from world coordinates. The second generalization is to use the occluding contour instead of the skeleton of the blood vessel as the feature for matching. We use a 3D graphics system like OpenGL into our 3D-2D registration method. The applicability improvements are shown using two applications: a position and pose estimation of a 3D vessel model using multiple views, and visual feedback on the position and pose of an active camera head
  • Keywords
    edge detection; feature extraction; image registration; medical image processing; stereo image processing; 2D projective image; 3D object images; edge detection; feature extraction; image matching; image registration; medical image processing; pose estimation; Australia; Blood vessels; Cameras; Feature extraction; Intelligent systems; Laboratories; Robustness; Skeleton; State estimation; X-ray imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.905628
  • Filename
    905628