• DocumentCode
    3331287
  • Title

    Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances

  • Author

    Feng Lu ; Matsushita, Yuki ; Sato, Imari ; Okabe, Toshiya ; Sato, Yuuki

  • Author_Institution
    Univ. of Tokyo, Tokyo, Japan
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    1490
  • Lastpage
    1497
  • Abstract
    We propose an uncalibrated photometric stereo method that works with general and unknown isotropic reflectances. Our method uses a pixel intensity profile, which is a sequence of radiance intensities recorded at a pixel across multi-illuminance images. We show that for general isotropic materials, the geodesic distance between intensity profiles is linearly related to the angular difference of their surface normals, and that the intensity distribution of an intensity profile conveys information about the reflectance properties, when the intensity profile is obtained under uniformly distributed directional lightings. Based on these observations, we show that surface normals can be estimated up to a convex/concave ambiguity. A solution method based on matrix decomposition with missing data is developed for a reliable estimation. Quantitative and qualitative evaluations of our method are performed using both synthetic and real-world scenes.
  • Keywords
    matrix decomposition; stereo image processing; convex-concave ambiguity; geodesic distance; isotropic materials; isotropic reflectances; matrix decomposition; multiilluminance images; pixel intensity profile; radiance intensity sequence; uncalibrated photometric stereo; uniformly distributed directional lightings; unknown isotropic reflectances; Databases; Face; Light sources; Lighting; Materials; Matrix decomposition; Sparse matrices;
  • 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.2013.196
  • Filename
    6619040