• DocumentCode
    2079820
  • Title

    Height recovery from intensity gradient

  • Author

    Zhang, Ruo ; Shah, Mubarak

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Central Florida, Orlando, FL, USA
  • fYear
    1994
  • fDate
    21-23 Jun 1994
  • Firstpage
    508
  • Lastpage
    513
  • Abstract
    Unlike existing global shape-from-shading algorithms which involve the brightness constraint in their formulation, we propose a new algorithm which replaces the brightness constraint by an intensity gradient constraint. This is a global approach which obtains the solution by the minimization of an error function over the entire image. Through the linearization of the reflectance map and the discretization of the surface gradient, the intensity gradient can be expressed as a linear function of the surface height. A quadratic error function, which involves the intensity gradient constraint and the traditional smoothness constraint, is minimized efficiently by solving a sparse linear system using the multigrid technique. Neither the information at singular points nor the information at occluding boundaries is needed for the initialization
  • Keywords
    computer vision; differential equations; image reconstruction; minimisation; error function; height recovery; intensity gradient; intensity gradient constraint; multigrid technique; reflectance map; sparse linear system; surface gradient; Differential equations; Image reconstruction; Machine vision; Minimization methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-5825-8
  • Type

    conf

  • DOI
    10.1109/CVPR.1994.323874
  • Filename
    323874