• DocumentCode
    3008466
  • Title

    (De) focusing on global light transport for active scene recovery

  • Author

    Gupta, Madhu ; Yuandong Tian ; Narasimhan, Srinivasa G. ; Li Zhang

  • Author_Institution
    Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2009
  • fDate
    20-25 June 2009
  • Firstpage
    2969
  • Lastpage
    2976
  • Abstract
    Most active scene recovery techniques assume that a scene point is illuminated only directly by the illumination source. Consequently, global illumination effects due to inter-reflections, sub-surface scattering and volumetric scattering introduce strong biases in the recovered scene shape. Our goal is to recover scene properties in the presence of global illumination. To this end, we study the interplay between global illumination and the depth cue of illumination defocus. By expressing both these effects as low pass filters, we derive an approximate invariant that can be used to separate them without explicitly modeling the light transport. This is directly useful in any scenario where limited depth-of-field devices (such as projectors) are used to illuminate scenes with global light transport and significant depth variations. We show two applications: (a) accurate depth recovery in the presence of global illumination, and (b) factoring out the effects of defocus for correct direct-global separation in large depth scenes. We demonstrate our approach using scenes with complex shapes, reflectances, textures and translucencies.
  • Keywords
    light scattering; low-pass filters; optical focusing; active scene recovery techniques; depth-of-field devices; global light transport focusing; illumination defocus; illumination source; low pass filter; subsurface scattering; volumetric scattering; Computer science; Convolution; Kernel; Layout; Light scattering; Lighting; Low pass filters; Optical scattering; Robots; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on
  • Conference_Location
    Miami, FL
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-3992-8
  • Type

    conf

  • DOI
    10.1109/CVPR.2009.5206855
  • Filename
    5206855