2013 IEEE International Conference on Computer Vision 2013
DOI: 10.1109/iccv.2013.63
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Separating Reflective and Fluorescent Components Using High Frequency Illumination in the Spectral Domain

Abstract: Hyperspectral 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 illuminat… Show more

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Cited by 17 publications
(16 citation statements)
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“…To allow for the fairest comparison under ideal conditions for both methods, we performed synthetic tests. Compared against [4], which requires a hyperspectral camera and specialized illuminants, we achieve competitive results ( Figure 6). Similar results were observed for other spectra as well.…”
Section: Recovery Of Spectramentioning
confidence: 76%
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“…To allow for the fairest comparison under ideal conditions for both methods, we performed synthetic tests. Compared against [4], which requires a hyperspectral camera and specialized illuminants, we achieve competitive results ( Figure 6). Similar results were observed for other spectra as well.…”
Section: Recovery Of Spectramentioning
confidence: 76%
“…Lam and Sato [10] provided a method for recovering the full spectral reflectance and fluorescence absorption and emission spectra of scenes but they require a multiband camera and multiple narrowband illuminants. Fu et al [4] also recovered the full spectral reflectance and fluorescence spectra of scenes by using high frequency light spectra but they require a hyperspectral camera and a programmable light source: a device that can be programmed to produce arbitrary light spectra. While effective, these methods require specialized equipment so their use in applications is limited.…”
Section: Related Workmentioning
confidence: 98%
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