• DocumentCode
    2536868
  • Title

    A minimum-variance adaptive surface mesh

  • Author

    Wilson, Richard C. ; Hancock, Edwin R.

  • Author_Institution
    Dept. of Comput. Sci., York Univ., UK
  • fYear
    1997
  • fDate
    17-19 Jun 1997
  • Firstpage
    634
  • Lastpage
    639
  • Abstract
    The main contribution of the paper is to describe a new class of the adaptive mesh. The mesh uses both split and merge operations to adapt itself to the structure of volumetric data-points. The adaptive behaviour is controlled by the variance of the data-point positions about maximum-likelihood quadric patches. The authors show that the density of control points on the mesh is regulated by the curvature of the underlying surface. Finally, they illustrate the effectiveness of the method on both real-world and simulated data-sets
  • Keywords
    image reconstruction; maximum likelihood estimation; merging; control point density; data point position variance; maximum-likelihood quadric patches; merge operations; minimum-variance adaptive surface mesh; real-world data sets; simulated data sets; split operations; surface curvature; volumetric data points; Adaptive control; Computer science; Equations; Finite element methods; Lagrangian functions; Programmable control; Spline; Surface fitting; Surface reconstruction; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
  • Conference_Location
    San Juan
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-7822-4
  • Type

    conf

  • DOI
    10.1109/CVPR.1997.609392
  • Filename
    609392