DocumentCode :
3421230
Title :
Separating Reflective and Fluorescent Components Using High Frequency Illumination in the Spectral Domain
Author :
Ying Fu ; Lam, Antony ; Sato, Imari ; Okabe, Toshiya ; Sato, Yuuki
fYear :
2013
fDate :
1-8 Dec. 2013
Firstpage :
457
Lastpage :
464
Abstract :
Hyper spectral imaging is beneficial to many applications but current methods do not consider fluorescent effects which are present in everyday items ranging from paper, to clothing, to even our food. Furthermore, everyday fluorescent items exhibit a mix of reflectance and fluorescence. So proper separation of these components is necessary for analyzing them. In this paper, we demonstrate efficient separation and recovery of reflective and fluorescent emission spectra through the use of high frequency illumination in the spectral domain. With the obtained fluorescent emission spectra from our high frequency illuminants, we then present to our knowledge, the first method for estimating the fluorescent absorption spectrum of a material given its emission spectrum. Conventional bispectral measurement of absorption and emission spectra needs to examine all combinations of incident and observed light wavelengths. In contrast, our method requires only two hyper spectral images. The effectiveness of our proposed methods are then evaluated through a combination of simulation and real experiments. We also demonstrate an application of our method to synthetic relighting of real scenes.
Keywords :
electromagnetic wave absorption; hyperspectral imaging; image processing; lighting; reflectivity; absorption spectra; bispectral measurement; emission spectra; emission spectrum; fluorescent absorption spectrum; fluorescent components; fluorescent effects; fluorescent emission spectra; fluorescent items; high frequency illumination; hyperspectral images; light wavelengths; reflectance; reflective emission spectra; separating reflective; spectral domain; Absorption; Fluorescence; Frequency-domain analysis; Lighting; Materials; Spectral analysis; Surface waves;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision (ICCV), 2013 IEEE International Conference on
Conference_Location :
Sydney, VIC
ISSN :
1550-5499
Type :
conf
DOI :
10.1109/ICCV.2013.63
Filename :
6751166
Link To Document :
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