Can facial metrology predict gender?

Author

Cao, Deng ; Chen, Cunjian ; Piccirilli, Marco ; Adjeroh, Donald ; Bourlai, Thirimachos ; Ross, Arun

Author_Institution

West Virginia Univ., Morgantown, WV, USA

fYear

2011

fDate

11-13 Oct. 2011

Firstpage

1

Lastpage

8

Abstract

We investigate the question of whether facial metrology can be exploited for reliable gender prediction. A new method based solely on metrological information from facial landmarks is developed. Here, metrological features are defined in terms of specially normalized angle and distance measures and computed based on given landmarks on facial images. The performance of the proposed metrology- based method is compared with that of a state-of-the-art appearance-based method for gender classification. Results are reported on two standard face databases, namely, MUCT and XM2VTS containing 276 and 295 images, respectively. The performance of the metrology-based approach was slightly lower than that of the appearance- based method by only about 3.8% for the MUCT database and about 5.7% for the XM2VTS database.

Keywords

face recognition; feature extraction; gender issues; image classification; visual databases; MUCT databases; XM2VTS databases; face databases; facial images; facial landmarks; facial metrology; gender classification; gender prediction; metrological features; state-of-the-art appearance-based method; Biology; Databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Biometrics (IJCB), 2011 International Joint Conference on

Conference_Location

Washington, DC

Print_ISBN

978-1-4577-1358-3

Electronic_ISBN

978-1-4577-1357-6

Type

conf

DOI

10.1109/IJCB.2011.6117471

Filename

6117471