Hyperspectral imaging of bruised skin

Randeberg, Lise Lyngsnes; Baarstad, Ivar; Løke, Trond; Kaspersen, Peter; Svaasand, Lars O.

doi:10.1117/12.646557

Cited by 43 publications

(37 citation statements)

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“…BS-LFD; MB (24) by averaging the recognition rates of all the 24 spectral bands and MB (6) by averaging the recognition rates of all the 6 feature bands. Table 4 lists the recognition rates by 12 different weighting schemes for image fusion.…”

Section: Methodsmentioning

confidence: 99%

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Studies on Hyperspectral Face Recognition in Visible Spectrum With Feature Band Selection

Wei

Zhang

et al. 2010

IEEE Trans. Syst., Man, Cybern. A

124

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Abstract:This paper studies face recognition by using hyperspectral imagery in the visible light bands. The spectral measurements over the visible spectrum have different discriminatory information for the task of face identification, and it is found that the absorption bands related to hemoglobin are more discriminative than the other bands. Therefore, feature band selection based on the physical absorption characteristics of face skin is performed and two feature band subsets are selected. Then, three methods are proposed for hyperspectral face recognition, including whole band (2D) 2 PCA, single band (2D) 2 PCA with decision level fusion, and band subset fusion based (2D) 2 PCA. A simple yet efficient decision level fusion strategy is also proposed for the later two methods. To testify the proposed techniques, a hyperspectral face database was established, which contains 25 subjects and has 33 bands over the visible light spectrum (0.4μm -0.72μm).The experimental results demonstrated that multispectral face recognition with the selected feature bands outperforms that by using a single band, or using the whole bands, or, interestingly, using the conventional RGB color bands.

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Section: Methodsmentioning

confidence: 99%

“…Recently, it has been applied to other areas such as biometrics, skin diagnosis, etc. [4][5][6][7][8][9][10][11][12] . Especially, some studies on hyperspectral face recognition have been reported very recently [8][9][10] [12] .…”

Section: Introductionmentioning

confidence: 99%

Studies on Hyperspectral Face Recognition in Visible Spectrum With Feature Band Selection

Wei

Zhang

et al. 2010

IEEE Trans. Syst., Man, Cybern. A

124

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“…Randeberg et al 41 employed an SWIR imaging system to assess human skin bruises. The instrument acquired images in 160 spectral bands from 900 to 1700 nm.…”

Section: Introductionmentioning

confidence: 99%

Review of short-wave infrared spectroscopy and imaging methods for biological tissue characterization

et al. 2015

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“…The MSI technique has been used for studies of skin tumors, cutaneous inflammations, healthy and bruised skin. [9][10][11] Vascular diseases are widely phototreated by intense pulsed light (IPL). Such treatment is based on the absorption of photons by endogenous and exogenous chromophores within the skin, heating them up and destructing the target structures.…”

mentioning

confidence: 99%

Contact and contactless diffuse reflectance spectroscopy: potential for recovery monitoring of vascular lesions after intense pulsed light treatment

Kuzmina¹,

Diebele

Spīgulis

et al. 2011

J. Biomed. Opt.

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Hyperspectral imaging of bruised skin

Cited by 43 publications

References 0 publications

Studies on Hyperspectral Face Recognition in Visible Spectrum With Feature Band Selection

Studies on Hyperspectral Face Recognition in Visible Spectrum With Feature Band Selection

Review of short-wave infrared spectroscopy and imaging methods for biological tissue characterization

Contact and contactless diffuse reflectance spectroscopy: potential for recovery monitoring of vascular lesions after intense pulsed light treatment

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