Preliminary Face Recognition Grand Challenge Results

Published

February 15, 2006

Author(s)

P J. Phillips, P J. Flynn, W T. Scruggs, K W. Bowyer, W Worek

Abstract

The goal of the Face Recognition Grand Challenge (FRGC) is to improve the performance of face recognition algorithms by an order of magnitude over the best results in Face Recognition Vendor Test (FRVT) 2002. The FRGC is designed to achieve this performance goal by presenting to researches a six-experiment challenge problem along with a data corpus of 50,000 images. The data consists of 3D scans and high resolution still imagery taken under controlled and uncontrolled conditions. This paper presents preliminary results of the FRGC for all six experiments. The preliminary results indicate that significant progress has been made towards achieving the stated goals.

Citation

NIST Interagency/Internal Report (NISTIR) - 7307

Report Number

7307

NIST Pub Series

NIST Interagency/Internal Report (NISTIR)

Pub Type

NIST Pubs

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Keywords

biometrics, evaluation, face recognition, generalized linear models, linear models

Citation

Phillips, P. , Flynn, P. , Scruggs, W. , Bowyer, K. and Worek, W. (2006), Preliminary Face Recognition Grand Challenge Results, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150636 (Accessed October 2, 2025)