Preliminary Face Recognition Grand Challenge Results

Author

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

Author_Institution

Nat. Inst. of Stand. & Technol., Gaithersburg, MD

fYear

2006

fDate

10-12 April 2006

Firstpage

15

Lastpage

24

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 researchers 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

Keywords

face recognition; image resolution; face recognition grand challenge; face recognition vendor test; image resolution; Algorithm design and analysis; Automatic testing; Bioinformatics; Error analysis; Face recognition; High performance computing; Image recognition; Image resolution; Lighting control; Partitioning algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on

Conference_Location

Southampton

Print_ISBN

0-7695-2503-2

Type

conf

DOI

10.1109/FGR.2006.87

Filename

1612991