• DocumentCode
    2913280
  • Title

    Interreflection removal for photometric stereo by using spectrum-dependent albedo

  • Author

    Liao, Miao ; Huang, Xinyu ; Yang, Ruigang

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Kentucky, Lexington, KY, USA
  • fYear
    2011
  • fDate
    20-25 June 2011
  • Firstpage
    689
  • Lastpage
    696
  • Abstract
    We present a novel method that can separate m-bounced light and remove the interreflections in a photometric stereo setup. Under the assumption of a uniformly colored lambertian surface, the intensity of a point in the scene is the sum of 1-bounced light through m-bounced light rays. Ruled by the law of diffuse reflection, whenever a light ray is bounced by the surface, its intensity will be attenuated by the factor of albedo ρ. This implies that the measured intensity value can be written as a polynomial function of ρ, and the intensity contribution of the m-bounced light rays are expressed by the term of ρm. Therefore, when we change the surface albedo, the intensity of the m-bounced light is changed to the order of m. This non-linearity gives us the possibility to separate the m-bounced light. In practice, we illuminate the scene with different light colors to effectively simulate different surface albedos since albedo is spectrum dependent. Once the m-bounced light rays are separated, we can perform the photometric stereo algorithm on the 1-bounced light (direct lighting) images to produce the 3D shape without the impact of interreflections. Experiments have shown that we get significantly improved scene reconstruction with a minimum of two color images.
  • Keywords
    image colour analysis; polynomials; stereo image processing; colored lambertian surface; diffuse reflection; image color; intensity contribution; interreflection removal; m-bounced light rays; photometric stereo; photometric stereo algorithm; polynomial function; spectrum dependent Albedo; surface albedo; Equations; Image color analysis; Light sources; Lighting; Mathematical model; Shape; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4577-0394-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2011.5995343
  • Filename
    5995343