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
Link To Document :
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