Impact of Facial Cosmetics on Automatic Gender and Age Estimation Algorithms

Cunjian Chen, Antitza Dantcheva, Arun Ross

2014

Abstract

Recent research has established the negative impact of facial cosmetics on the matching accuracy of automated face recognition systems. In this paper, we analyze the impact of cosmetics on automated gender and age estimation algorithms. In this regard, we consider the use of facial cosmetics for (a) gender spoofing where male subjects attempt to look like females and vice versa, and (b) age alteration where female subjects attempt to look younger or older than they actually are. While such transformations are known to impact human perception, their impact on computer vision algorithms has not been studied. Our findings suggest that facial cosmetics can potentially be used to confound automated gender and age estimation schemes.

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Paper Citation


in Harvard Style

Chen C., Dantcheva A. and Ross A. (2014). Impact of Facial Cosmetics on Automatic Gender and Age Estimation Algorithms . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-004-8, pages 182-190. DOI: 10.5220/0004746001820190

in Bibtex Style

@conference{visapp14,
author={Cunjian Chen and Antitza Dantcheva and Arun Ross},
title={Impact of Facial Cosmetics on Automatic Gender and Age Estimation Algorithms},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={182-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004746001820190},
isbn={978-989-758-004-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2014)
TI - Impact of Facial Cosmetics on Automatic Gender and Age Estimation Algorithms
SN - 978-989-758-004-8
AU - Chen C.
AU - Dantcheva A.
AU - Ross A.
PY - 2014
SP - 182
EP - 190
DO - 10.5220/0004746001820190