• DocumentCode
    419460
  • Title

    Vector field smoothing via heat flow

  • Author

    Robles-Kelly, Antonio ; Hancock, Edwin R.

  • Author_Institution
    Dept. of Comput. Sci., York Univ., UK
  • Volume
    2
  • fYear
    2004
  • fDate
    23-26 Aug. 2004
  • Firstpage
    94
  • Abstract
    We develop a new method for recovering and smoothing fields of surface normals in shape-from shading. We show how to transform the problem of recovering surface normals that satisfy Lambert´s law into that of solving the steady state heat equation for a scalar potential. According to this picture, the smoothed field of surface normals is found by taking the gradient of the scalar field. The heat equation for the scalar field can be solved using simple finite difference methods, and leads to an iterative procedure for vector estimation. We illustrate the utility of the new method on real world imagery and compare our results with those delivered by an alternative.
  • Keywords
    computer vision; finite difference methods; heat transfer; iterative methods; smoothing methods; vectors; finite difference methods; heat flow; image processing; scalar field gradient; shape-from-shading; steady state heat equation; surface normals; vector estimation; Brightness; Computer science; Equations; Geometrical optics; Image motion analysis; Light sources; Optical computing; Smoothing methods; Steady-state; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334048
  • Filename
    1334048