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Focus on Quality, Predicting FRVT 2006 Performance

Published

Author(s)

P J. Phillips, J. R. Beveridge, Geof H. Givens, Bruce A. Draper, Yui M. Lui

Abstract

This paper summarizes a study carried out on data from the Face Recognition Vendor Test 2006 (FRVT 2006). The finding of greatest practical importance is the discovery of a strong connection between a relatively simple measure of image quality and performance of state-of-the-art ven- dor algorithms in FRVT 2006. The image quality measure quantifies edge density and likely relates to focus. This ef- fect is part of a larger four-way interaction observed be- tween edge density, face size and whether images are ac- quired indoors our outdoors. This finding illustrates the broader potential for statistical modeling of empirical data to play an important role in finding and codifying biometric quality measures.
Proceedings Title
8th IEEE International Conference on Automatic Face and Gesture Recognition
Conference Dates
September 17-19, 2008
Conference Location
Amsterdam, NL

Keywords

Face Recognition, Performance Analysis, Generalized Linear Mixed Models

Citation

Phillips, P. , Beveridge, J. , Givens, G. , Draper, B. and Lui, Y. (2008), Focus on Quality, Predicting FRVT 2006 Performance, 8th IEEE International Conference on Automatic Face and Gesture Recognition, Amsterdam, NL, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=890059 (Accessed June 16, 2024)

Issues

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

Created September 17, 2008, Updated February 17, 2017