• DocumentCode
    2955086
  • Title

    Multiplexed illumination for scene recovery in the presence of global illumination

  • Author

    Gu, Jinwei ; Kobayashi, Toshihiro ; Gupta, Mohit ; Nayar, Shree K.

  • Author_Institution
    Rochester Inst. of Technol., Rochester, NY, USA
  • fYear
    2011
  • fDate
    6-13 Nov. 2011
  • Firstpage
    691
  • Lastpage
    698
  • Abstract
    Global illumination effects such as inter-reflections and subsurface scattering result in systematic, and often significant errors in scene recovery using active illumination. Recently, it was shown that the direct and global components could be separated efficiently for a scene illuminated with a single light source. In this paper, we study the problem of direct-global separation for multiple light sources. We derive a theoretical lower bound for the number of required images, and propose a multiplexed illumination scheme which achieves this lower bound. We analyze the signal-to-noise ratio (SNR) characteristics of the proposed illumination multiplexing method in the context of direct-global separation. We apply our method to several scene recovery techniques requiring multiple light sources, including shape from shading, structured light 3D scanning, photometric stereo, and reflectance estimation. Both simulation and experimental results show that the proposed method can accurately recover scene information with fewer images compared to sequentially separating direct-global components for each light source.
  • Keywords
    image reconstruction; SNR characteristic; active illumination; direct-global separation; global illumination; illumination multiplexing method; interreflection; multiple light sources; photometric stereo; reflectance estimation; scene recovery; shape from shading; signal-to-noise ratio; structured light 3D scanning; subsurface scattering; Frequency division multiplexing; Frequency modulation; Light sources; Lighting; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision (ICCV), 2011 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1550-5499
  • Print_ISBN
    978-1-4577-1101-5
  • Type

    conf

  • DOI
    10.1109/ICCV.2011.6126305
  • Filename
    6126305