The Recognition of Ethnic Groups based on Histological Skin Properties

Malskies, Christoph R.; Eibenberger, Eva; Angelopoulou, Elli

The Recognition of Ethnic Groups based on Histological Skin Properties

Files

353-360.pdf (324.66 KB)

Date

2011

Authors

Malskies, Christoph R.
Eibenberger, Eva
Angelopoulou, Elli

Publisher

The Eurographics Association

Abstract

We 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.

        @inproceedings{:10.2312/PE/VMV/VMV11/353-360
,
booktitle = {Vision, Modeling, and Visualization (2011)
},
editor = {Peter Eisert and Joachim Hornegger and Konrad Polthier
},
title = {{The Recognition of Ethnic Groups based on Histological Skin Properties
}},
author = {Malskies, Christoph R. and 
Eibenberger, Eva and 
Angelopoulou, Elli
},
year = {2011
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905673-85-2
},
DOI = {/10.2312/PE/VMV/VMV11/353-360
}
}