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231224s2015 xx |||||o 00| ||eng c |
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|a 10.1109/TIP.2015.2467209
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|a eng
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| 100 |
1 |
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|a Bianco, Simone
|e verfasserin
|4 aut
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| 245 |
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|a Adaptive Skin Classification Using Face and Body Detection
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|c 2015
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|a Text
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|a ƒaComputermedien
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|a Date Completed 18.08.2016
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|a Date Revised 23.09.2015
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a In this paper, we propose a skin classification method exploiting faces and bodies automatically detected in the image, to adaptively initialize individual ad hoc skin classifiers. Each classifier is initialized by a face and body couple or by a single face, if no reliable body is detected. Thus, the proposed method builds an ad hoc skin classifier for each person in the image, resulting in a classifier less dependent from changes in skin color due to tan levels, races, genders, and illumination conditions. The experimental results on a heterogeneous data set of labeled images show that our proposal outperforms the state-of-the-art methods, and that this improvement is statistically significant
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|a Journal Article
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|a Gasparini, Francesca
|e verfasserin
|4 aut
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|a Schettini, Raimondo
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 24(2015), 12 vom: 15. Dez., Seite 4756-65
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|u http://dx.doi.org/10.1109/TIP.2015.2467209
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