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Publication Citation: Focus on Quality, Predicting FRVT 2006 Performance

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Author(s): P J. Phillips; J. R. Beveridge; G. H. Givens; Bruce A. Draper; Yui M. Lui;
Title: Focus on Quality, Predicting FRVT 2006 Performance
Published: September 17, 2008
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: 8th IEEE International Conference on Automatic Face and Gesture Recognition
Location: Amsterdam, NL
Dates: September 17-19, 2008
Keywords: Face Recognition; Performance Analysis; Generalized Linear Mixed Models
Research Areas:
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