• DocumentCode
    951873
  • Title

    Shape from shading with a linear triangular element surface model

  • Author

    Lee, Kyoung Mu ; Kuo, C-C Jay

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    15
  • Issue
    8
  • fYear
    1993
  • fDate
    8/1/1993 12:00:00 AM
  • Firstpage
    815
  • Lastpage
    822
  • Abstract
    The authors propose to combine a triangular element surface model with a linearized reflectance map to formulate the shape-from-shading problem. The main idea is to approximate a smooth surface by the union of triangular surface patches called triangular elements and express the approximating surface as a linear combination of a set of nodal basis functions. Since the surface normal of a triangular element is uniquely determined by the heights of its three vertices (or nodes), image brightness can be directly related to nodal heights using the linearized reflectance map. The surface height can then be determined by minimizing a quadratic cost functional corresponding to the squares of brightness errors and solved effectively with the multigrid computational technique. The proposed method does not require any integrability constraint or artificial assumptions on boundary conditions. Simulation results for synthetic and real images are presented to illustrate the performance and efficiency of the method
  • Keywords
    image processing; optimisation; image brightness; image processing; linear triangular element surface model; linearized reflectance map; multigrid computational technique; optimisation; quadratic cost functional; shape-from-shading; Boundary conditions; Brightness; Computational modeling; Computer errors; Computer vision; Cost function; Iterative algorithms; Reflectivity; Shape; Surface reconstruction;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.236247
  • Filename
    236247