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Iberoamerican Congress on Pattern Recognition

CIARP 2005: Progress in Pattern Recognition, Image Analysis and Applications pp 103–111Cite as

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Analysis of Directional Reflectance and Surface Orientation Using Fresnel Theory

Analysis of Directional Reflectance and Surface Orientation Using Fresnel Theory

  • Gary A. Atkinson18 &
  • Edwin R. Hancock18 
  • Conference paper
  • 1105 Accesses

Part of the Lecture Notes in Computer Science book series (LNIP,volume 3773)

Abstract

Polarization of light caused by reflection from dielectric surfaces has been widely studied in computer vision. This paper presents an analysis of the accuracy of a technique that has been developed to acquire surface orientation from the polarization state of diffusely reflected light. This method employs a digital camera and a rotating linear polarizer. The paper also explores the possibility of linking polarization vision with shading information by means of a computationally efficient BRDF estimation algorithm.

Keywords

  • Zenith Angle
  • Azimuth Angle
  • Shape Recovery
  • Surface Orientation
  • Normal Paper

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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References

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of York, York, YO10 5DD, UK

    Gary A. Atkinson & Edwin R. Hancock

Authors
  1. Gary A. Atkinson
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  2. Edwin R. Hancock
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Editor information

Editors and Affiliations

  1. Dept. System Engineering and Automation, Universitat Politècnica de Catalunya (UPC) Barcelona, Spain

    Alberto Sanfeliu

  2. Pattern Recognition Group, ICIMAF, Havana, Cuba

    Manuel Lazo Cortés

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Atkinson, G.A., Hancock, E.R. (2005). Analysis of Directional Reflectance and Surface Orientation Using Fresnel Theory. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_11

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  • DOI: https://doi.org/10.1007/11578079_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29850-2

  • Online ISBN: 978-3-540-32242-9

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