• DocumentCode
    2352714
  • Title

    Photometric stereo with general, unknown lighting

  • Author

    Basri, Ronen ; Jacobs, David

  • Author_Institution
    Dept. of Comput. Sci., Weizmann Inst. of Sci., Rehovot, Israel
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Abstract
    Work on photometric stereo has shown how to recover the shape and reflectance properties of an object using multiple images taken with a fixed viewpoint and variable lighting conditions. This work has primarily relied on the presence of a single point source of light in each image. The authors show how to perform photometric stereo, assuming that all lights in a scene are isotropic and distant from the object but otherwise unconstrained. Lighting in each image may be an unknown and arbitrary combination of diffuse, point and extended sources. Our work is based on recent results showing that for Lambertian objects, general lighting conditions can be represented using low order spherical harmonics. Using this representation, we can recover shape by performing a simple optimization in a low-dimensional space. We also analyze the shape ambiguities that arise in such a representation.
  • Keywords
    image recognition; image representation; lighting; photometry; stereo image processing; Lambertian objects; arbitrary combination; extended sources; fixed viewpoint; general lighting conditions; general unknown lighting; low order spherical harmonics; low-dimensional space; multiple images; photometric stereo; reflectance properties; shape ambiguities; shape properties; shape recovery; simple optimization; single point light source; variable lighting conditions; Computer science; Jacobian matrices; Laboratories; Layout; Lighting control; National electric code; Photometry; Reflectivity; Shape; Surface fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-1272-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2001.990985
  • Filename
    990985