Extended Photometric Sampling for Surface Shape Recovery

  • Felipe Hernández-Rodríguez
  • Mario Castelán
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7329)


Photometric sampling is a process where the surface normals of an object are estimated through the excitation of the object’s surface and a rotating light source around it. The method can be regarded as a special case of photometric stereo when extensive sampling is performed in order to calculate surface normals. The classic photometric sampling approach considers only variations around the azimuth angle of the moving light source. As a consequence, additional attention has to be be paid to the recovery of the light source directions and the removal of specular and shadowed regions. This paper investigates the effect of including variations around the zenith angle of the light source vector in a photometric sampling framework, developing a geometric approach to estimate the surface normal vectors. Experiments show that increasing the number of samples along the zenith variation benefits the estimation of the surface normals.


Zenith Angle Singular Vector Azimuth Angle Photometric Stereo Photometric Analysis 
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 2012

Authors and Affiliations

  • Felipe Hernández-Rodríguez
    • 1
  • Mario Castelán
    • 1
  1. 1.Robotics and Advanced Manufacturing GroupCentro de Investigación y de Estudios Avanzados del I.P.N.Ramos ArizpeMéxico

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