Authors:
Cunjian Chen
1
;
Antitza Dantcheva
2
and
Arun Ross
2
Affiliations:
1
West Virginia University, United States
;
2
Michigan State University, United States
Keyword(s):
Biometrics, Face Recognition, Facial Cosmetics, Makeup, Gender Spoofing, Age Alteration, Automatic Gender Estimation, Automatic Age Estimation.
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Entertainment Imaging Applications
;
Multimedia Forensics
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.