• DocumentCode
    3331310
  • Title

    Calibrating Photometric Stereo by Holistic Reflectance Symmetry Analysis

  • Author

    Zhe Wu ; Ping Tan

  • Author_Institution
    Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    1498
  • Lastpage
    1505
  • Abstract
    Under unknown directional lighting, the uncalibrated Lambertian photometric stereo algorithm recovers the shape of a smooth surface up to the generalized bas-relief (GBR) ambiguity. We resolve this ambiguity from the half vector symmetry, which is observed in many isotropic materials. Under this symmetry, a 2D BRDF slice with low-rank structure can be obtained from an image, if the surface normals and light directions are correctly recovered. In general, this structure is destroyed by the GBR ambiguity. As a result, we can resolve the ambiguity by restoring this structure. We develop a simple algorithm of auto-calibration from separable homogeneous specular reflection of real images. Compared with previous methods, this method takes a holistic approach to exploiting reflectance symmetry and produces superior results.
  • Keywords
    reflectivity; stereo image processing; vectors; GBR ambiguity; generalized bas-relief ambiguity; half vector symmetry; holistic reflectance symmetry analysis; photometric stereo calibration; uncalibrated Lambertian photometric stereo algorithm; unknown directional lighting; Databases; Equations; Image restoration; Lighting; Linear programming; Materials; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on
  • Conference_Location
    Portland, OR
  • ISSN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2013.197
  • Filename
    6619041