• DocumentCode
    917511
  • Title

    Constructing intrinsic parameters with active models for invariant surface reconstruction

  • Author

    Vemuri, Baba C. ; Malladi, Ravikanth

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Florida Univ., Gainesville, FL, USA
  • Volume
    15
  • Issue
    7
  • fYear
    1993
  • fDate
    7/1/1993 12:00:00 AM
  • Firstpage
    668
  • Lastpage
    681
  • Abstract
    A technique for constructing a canonical surface parameterization in terms of lines of curvature is presented. Two methods of computing the canonical invariant representation are also presented. In the first method, a static instance of the controlled continuity spline is used for the stabilizer. Ways to modify it to reflect a change of parameters to the lines of curvature are described. In the second method, the dynamic instance of the controlled continuity spline called the deformable model is used. A force field defined in terms of the principal vectors is synthesized and applied to the parameter curves of the deformable model to coerce them along the lines of curvature. In essence, any transformation of parameters requires a modification of the stabilizer in the first method, whereas in the second method, it is tantamount to synthesizing a new force field. Experimental results with real and synthetic range data are included
  • Keywords
    image reconstruction; invariance; splines (mathematics); active models; canonical invariant representation; controlled continuity spline; curvature lines; deformable model; force field; invariant surface reconstruction; principal vectors; Bayesian methods; Biomembranes; Computer vision; Deformable models; Monte Carlo methods; Nonlinear equations; Reconstruction algorithms; Shape; Spline; Surface reconstruction;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.221168
  • Filename
    221168