Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

On the Existence of Face Quality Measures

Published

Author(s)

P J. Phillips, J. R. Beveridge, David Bolme, Bruce A. Draper, Geof H. Givens, Yui M. Lui, Su L. Cheng, Mohammad N. Teli, Hao Zhang

Abstract

We address the problem of the existence of quality measures for face recognition. We introduce the concept of an oracle quality measure, which is an optimal quality measure. We approximate oracle quality measures by greedy pruned ordering (GPO). GPO analysis provides a best case performance upper bound for traditional quality measures. We assess the performance of 12 commonly proposed face image quality measures. In addition, we investigate the potential for learning quality measures using supervised learning. Finally, we show that GPO analysis is applicable to other biometrics.
Conference Dates
September 30-October 2, 2013
Conference Location
Arlington, VA
Conference Title
The IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2013)

Citation

Phillips, P. , Beveridge, J. , Bolme, D. , Draper, B. , Givens, G. , Lui, Y. , Cheng, S. , Teli, M. and Zhang, H. (2013), On the Existence of Face Quality Measures, The IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS 2013), Arlington, VA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=914258 (Accessed May 20, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created September 30, 2013, Updated February 19, 2017