Toward a stratification of helmholtz stereopsis

  • Authors:

  • Todd E. Zickler;Peter N. Belhumeur;David J. Kriegman

  • Affiliations:

  • Electrical Engineering, Yale University, New Haven, CT;Computer Science, Columbia University, New York, NY;Computer Science and Engineering, University of California, San Diego, La Jolla, CA

  • Venue:
  • CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
  • Year:
  • 2003

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Abstract

Helmholtz stereopsis has been previously introduced as a surface reconstruction technique that does not assume a model of surface reflectance. This technique relies on the use of multiple cameras and light sources, and it has been shown to be effective when the camera and source positions are known. Here, we take a stratified look at uncalibrated Helmholtz stereopsis. We derive a new photometric matching constraint that can be used to establish correspondence without any knowledge of the cameras and sources (except that they are co-located), and we determine conditions under which we can obtain affine and metric reconstructions. An implementation and experimental results are presented.