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dc.contributor.authorMalskies, Christoph R.en_US
dc.contributor.authorEibenberger, Evaen_US
dc.contributor.authorAngelopoulou, Ellien_US
dc.contributor.editorPeter Eisert and Joachim Hornegger and Konrad Polthieren_US
dc.description.abstractWe present an algorithm to recognize ethnic groups based on biologically justified features, such as melanin or hemoglobin concentrations. These biophysical features are extracted from skin reflectance spectra and allow, in contrast to technical features, a medical interpretation and intuitive rating of the recognition results. For this purpose, a physics-based light transport model for skin is required. We use an existing model based on Kubelka-Munk theory, which is physically accurate and computationally tractable. The evaluation of the ethnicity classification reveals that in comparison to an approach, directly based on the reflectance spectra, our proposed biophysical classification is slightly better. To reduce computation time we analyze the impact of spectral band reduction on the ethnicity classification and show that this can be achieved on the expense of only a small accuracy loss.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.1 [Image Processing and Computer Vision]en_US
dc.subjectDigitzation and Image Captureen_US
dc.subjectI.4.8 [Image Processing and Computer Vision]en_US
dc.subjectScene Analysisen_US
dc.titleThe Recognition of Ethnic Groups based on Histological Skin Propertiesen_US
dc.description.seriesinformationVision, Modeling, and Visualization (2011)en_US

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  • VMV11
    ISBN 978-3-905673-85-2

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