• DocumentCode
    3016887
  • Title

    Isotropy, Reciprocity and the Generalized Bas-Relief Ambiguity

  • Author

    Tan, Ping ; Mallick, Satya P. ; Quan, Long ; Kriegman, David J. ; Zickler, Todd

  • Author_Institution
    Hong Kong Univ. of Sci. & Technol., Kowloon
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    A set of images of a Lambertian surface under varying lighting directions defines its shape up to a three-parameter generalized bas-relief (GBR) ambiguity. In this paper, we examine this ambiguity in the context of surfaces having an additive non-Lambertian reflectance component, and we show that the GBR ambiguity is resolved by any non-Lambertian reflectance function that is isotropic and spatially invariant. The key observation is that each point on a curved surface under directional illumination is a member of a family of points that are in isotropic or reciprocal configurations. We show that the GBR can be resolved in closed form by identifying members of these families in two or more images. Based on this idea, we present an algorithm for recovering full Euclidean geometry from a set of uncalibrated photometric stereo images, and we evaluate it empirically on a number of examples.
  • Keywords
    stereo image processing; Euclidean geometry; Lambertian surface images; directional illumination; generalized bas-relief ambiguity; nonLambertian reflectance component; nonLambertian reflectance function; uncalibrated photometric stereo images; Computer vision; Image reconstruction; Lighting; Photometry; Reflectivity; Shape; Spatial resolution; Stereo image processing; Stereo vision; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.383207
  • Filename
    4270232