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Recovery of Reflectances and Varying Illuminants from Multiple Views

  • Q.-Tuan Luong
  • Pascal Fua
  • Yvan Leclerc
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2352)

Abstract

We introduce a new methodology for radiometric reconstruction from multiple images. It opens new possibilities because it allows simultaneous recovery of varying unknown illuminants (one per image), surface albedoes, and cameras’ radiometric responses. Designed to complement geometric reconstruction techniques, it only requires as input the geometry of the scene and of the cameras. Unlike photometric stereo approaches, it is not restricted to images taken from a single viewpoint. Linear and non-linear implementations in the Lambertian case are proposed; simulation results are discussed and compared to related work to demonstrate the gain in stability; and results on real images are shown.

Keywords

Gray Level Surface Element Multiple Image Multiple View Recovery Error 
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 2002

Authors and Affiliations

  • Q.-Tuan Luong
    • 1
  • Pascal Fua
    • 2
  • Yvan Leclerc
    • 1
  1. 1.AI CenterSRI InternationalMenlo ParkUSA
  2. 2.Computer Graphics LabEPFLLausanneSwitzerland

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