Visual Form pp 527-536 | Cite as

Extraction of Surface Orientation Using Gray Level Difference Statistics

  • Mutsuhiro Terauchi
  • Hidegi Matsushima
  • Toshio Tsuji
  • Koji Ito


The Processes to reconstruct a 3D shape from a 2D image is one of the important problems in computer vision. In this paper we deal with the problem to extract the object surface orientation from a monocular view image, which is necessary in 3D reconstruction. Generally the process becomes ill-posed problem, because the 3D shape of an object is condensed onto the image by the projection. Therefore the solution of the orientation is not guaranteed to be unique, unless some supplement information is introduced about the object or the surface.


Probability Density Function Image Plane Object Plane Object Surface Surface Orientation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • Mutsuhiro Terauchi
    • 1
  • Hidegi Matsushima
    • 1
  • Toshio Tsuji
    • 1
  • Koji Ito
    • 1
  1. 1.Hiroshima UniversityHigashi-hiroshima 724Japan

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