On the existence of face quality measures

P. Jonathon Phillips, J. Ross Beveridge, David S. Bolme, Bruce A. Draper, Geof H. Given, Yui Man Lui, Su Cheng, Mohammad Nayeem Teli, Hao Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

31 Scopus citations

Abstract

We investigate the existence of quality measures for face recognition. First, we introduce the concept of an oracle for image quality in the context of face recognition. Next we introduce greedy pruned ordering (GPO) as an approximation to an image quality oracle. GPO analysis provides an estimated upper bound for quality measures, given a face recognition algorithm and data set. We then assess the performance of 12 commonly proposed face image quality measures against this standard. In addition, we investigate the potential for learning new quality measures via supervised learning. Finally, we show that GPO analysis is applicable to other biometrics.

Original languageEnglish
Title of host publicationIEEE 6th International Conference on Biometrics
Subtitle of host publicationTheory, Applications and Systems, BTAS 2013
PublisherIEEE Computer Society
ISBN (Print)9781479905270
DOIs
StatePublished - 2013
Event6th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013 - Washington, DC, United States
Duration: Sep 29 2013Oct 2 2013

Publication series

NameIEEE 6th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013

Conference

Conference6th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2013
Country/TerritoryUnited States
CityWashington, DC
Period09/29/1310/2/13

Fingerprint

Dive into the research topics of 'On the existence of face quality measures'. Together they form a unique fingerprint.

Cite this