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Inverting the reflectance map with binary search

  • François Faure
Posters
Part of the Lecture Notes in Computer Science book series (LNCS, volume 970)

Abstract

Stereophotometric computer vision is based on the inversion of an equation system which represents the physical reflection phenomenon under different lighting conditions. In noisy conditions, the system has generally no solution, and the typical way to solve it is to find the solution which minimizes some error function. This paper proposes a new approach to deal with this system, using the so-called Geometrical Compatibility Function. The problem is turned into a root-finding in a one-dimensional space and the robustness is largely improved with respect to wrong reflectance model coefficients.

Keywords

Binary Search Photometric Stereo Radiance Equation Wrong Coefficient Exact Coefficient 
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 1995

Authors and Affiliations

  • François Faure
    • 1
  1. 1.IMAGIS/IMAGGrenoble cedex 9

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