• DocumentCode
    2241187
  • Title

    3-D model-data correspondence and nonrigid deformation

  • Author

    Gupta, Alok ; Liang, Cheng-Chung

  • Author_Institution
    Siemens Corporate Research, Inc., Princeton, NJ, USA
  • fYear
    1993
  • fDate
    15-17 Jun 1993
  • Firstpage
    756
  • Lastpage
    757
  • Abstract
    Modeling nonrigid moving 3-D objects entails recovery of global motion, global shape, and local shape. The already difficult problem of tracking nonrigid local shape is made worse by the need for a model-data correspondence scheme to make tracking possible. Both problems are addressed. Various methods for establishing 3-D model-data correspondence are discussed, and a correspondence scheme for tessellated data is presented. A force-based method for nonrigid motion tracking is presented. The authors´ method does not use complex finite element techniques but follows a residual force-based dynamic model for local deformation. Another novel feature is that the net forces are obtained by an adaptive force distribution scheme which ensures smooth and stable deformation. Results are presented of tracking simulated as well as real 3-D data of the inner wall of the heart ventricle from segmented magnetic resonance images
  • Keywords
    image restoration; tracking; 3-D model-data correspondence; adaptive force distribution scheme; force-based method; global motion; global shape; heart ventricle; inner wall; local deformation; local shape; moving 3-D objects; nonrigid deformation; nonrigid motion tracking; residual force-based dynamic model; segmented magnetic resonance images; tessellated data; Computer vision; Deformable models; Educational institutions; Finite element methods; Heart ventricles; Image segmentation; Magnetic resonance; Resonance; Shape; Solid modeling; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-3880-X
  • Type

    conf

  • DOI
    10.1109/CVPR.1993.341159
  • Filename
    341159