A Combinatorial Transparent Surface Modeling from Polarization Images

  • Mohamad Ivan Fanany
  • Kiichi Kobayashi
  • Itsuo Kumazawa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3322)


This paper presents a combinatorial (decision tree induction) technique for transparent surface modeling from polarization images. This technique simultaneously uses the object’s symmetry, brewster angle, and degree of polarization to select accurate reference points. The reference points contain information about surface’s normals position and direction at near occluding boundary. We reconstruct rotationally symmetric objects by rotating these reference points.


Zenith Angle Reference Vector Brewster Angle Polarization Image Ambiguity Problem 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Mohamad Ivan Fanany
    • 1
  • Kiichi Kobayashi
    • 1
  • Itsuo Kumazawa
    • 2
  1. 1.NHK Engineering Service Inc.TokyoJapan
  2. 2.Imaging Science and EngineeringTokyo Institute of Technology 

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