Surface Reconstruction Using Polarization and Photometric Stereo

  • Gary A. Atkinson
  • Edwin R. Hancock
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)


This paper presents a novel shape recovery technique that combines photometric stereo with polarization information. First, a set of ambiguous surface normals are estimated from polarization data. This is achieved using Fresnel theory to interpret the polarization patterns of light reflected from dielectric surfaces. The process is repeated using three different known light source positions. Photometric stereo is then used to disambiguate the surface normals. The relative pixel brightnesses for the different light source positions reveal the correct surface orientations. Finally, the resulting unambiguous surface normal estimates are integrated to recover a depth map. The technique is tested on various objects of different materials. The paper also demonstrates how the depth estimates can be enhanced by applying methods suggested in earlier work.


Singular Value Decomposition Surface Normal Zenith Angle Azimuth Angle Shape Recovery 
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-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Gary A. Atkinson
    • 1
  • Edwin R. Hancock
    • 1
  1. 1.Department of Computer Science, University of York, York, YO1 5DDUK

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