Paper Info
Title
Performance characterisation of face recognition algorithms and their sensitivity to severe illumination changes
Abstract
This paper details the results of a face verification competition [2] held in conjunction with the Second International Conference on Biometric Authentication. The contest was held on the publically available XM2VTS database [4] according to a defined protocol [15]. The aim of the competition was to assess the advances made in face recognition since 2003 and to measure the sensitivity of the tested algorithms to severe changes in illumination conditions. In total, more than 10 algorithms submitted by three groups were compared. The results show that the relative performance of some algorithms is dependent on training conditions (data, protocol) as well as environmental changes.
Year
DOI
Venue
2006
10.1007/11608288_1
ICB
Keywords
Field
DocType
paper detail,relative performance,face verification competition,severe illumination change,face recognition algorithm,second international conference,environmental change,illumination condition,face recognition,performance characterisation,biometric authentication,severe change,xm2vts database
Face verification,Computer vision,Facial recognition system,Pattern recognition,Computer science,Image processing,Artificial intelligence,Biometrics,User interface
Conference
Volume
ISSN
ISBN
3832
0302-9743
3-540-31111-4
Citations 
PageRank 
References 
15
0.88
20
Authors
11
Name
Order
Citations
PageRank
Kieron Messer148838.77
J. Kittler2143461465.03
James Short3150.88
G. Heusch4150.88
Fabien Cardinaux527919.00
Sébastien Marcel61984123.84
Yann Rodriguez730720.21
Shiguang Shan86322283.75
Ying-ying Su9248.84
Wen Gao1011374741.77
Xilin Chen116291306.27