• DocumentCode
    2403466
  • Title

    Modulated phase-shifting for 3D scanning

  • Author

    Chen, Tongbo ; Seidel, Hans-Peter ; Lensch, Hendrik P A

  • Author_Institution
    MPI Inf., Dublin
  • fYear
    2008
  • fDate
    23-28 June 2008
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We present a new 3D scanning method using modulated phase-shifting. Optical scanning of complex objects or scenes with significant global light transport, such as subsurface scattering, interreflections, volumetric scattering, etc. is a difficult task since the direct surface reflection will be mixed with the global illumination. The direct and global components can be effficiently separated using high frequency illumination which to some extend is done in traditional phase-shifting for 3D scanning. In this paper we introduce the concept of modulation based separation where a high frequency signal is multiplied on top of other signal. The modulated signal inherits the good separation properties of the high frequency signal and allows for removing artifacts due to global illumination. This technique can be used to clean up arbitrary projected signals, e.g. photographs as well as the sinusoid patterns used for phase-shifting. For the modulated phase-shifting, we propose a two-pass separation method exploiting high frequency patterns in two-dimensions that can filter out the global components much more completely than traditional one-pass separation methods. We demonstrate the effectiveness of our approach on a couple of scenes with significant subsurface scattering and interreflections.
  • Keywords
    image resolution; optical modulation; optical scanners; 3D scanning method; global light transport; interreflections; one-pass separation methods; phase-shifting modulation; subsurface scattering; two-pass separation method; volumetric scattering; Cameras; Frequency; Layout; Light scattering; Lighting; Optical modulation; Optical polarization; Optical reflection; Optical scattering; Phase modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-2242-5
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2008.4587836
  • Filename
    4587836