• DocumentCode
    639433
  • Title

    Spectral Modeling and Relighting of Reflective-Fluorescent Scenes

  • Author

    Lam, Antony ; Sato, Imari

  • Author_Institution
    Nat. Inst. of Inf., Tokyo, Japan
  • fYear
    2013
  • fDate
    23-28 June 2013
  • Firstpage
    1452
  • Lastpage
    1459
  • Abstract
    Hyper spectral reflectance data allows for highly accurate spectral relighting under arbitrary illumination, which is invaluable to applications ranging from archiving cultural e-heritage to consumer product design. Past methods for capturing the spectral reflectance of scenes has proven successful in relighting but they all share a common assumption. All the methods do not consider the effects of fluorescence despite fluorescence being found in many everyday objects. In this paper, we describe the very different ways that reflectance and fluorescence interact with illuminants and show the need to explicitly consider fluorescence in the relighting problem. We then propose a robust method based on well established theories of reflectance and fluorescence for imaging each of these components. Finally, we show that we can relight real scenes of reflective-fluorescent surfaces with much higher accuracy in comparison to only considering the reflective component.
  • Keywords
    fluorescence; geophysical image processing; hyperspectral imaging; realistic images; reflectivity; arbitrary illumination; archiving cultural e-heritage; consumer product design; fluorescence; hyper spectral reflectance data; illuminants; real scenes; reflective component; reflective-fluorescent scenes relighting; reflective-fluorescent surfaces; relighting problem; spectral modeling; spectral relighting; Cameras; Fluorescence; Lighting; Materials; Surface waves; Vectors; fluorescence; hyperspectral imaging; relighting;
  • 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.2013.191
  • Filename
    6619035