DocumentCode :
2221574
Title :
Illumination invariant face recognition based on neural network ensemble
Author :
Li, Wu-Jun ; Wang, Chong-Jun ; Xu, Dian-Xiang ; Chen, Shi-Fu
Author_Institution :
Nat. Lab. for Novel Software Technol., Nanjing Univ., China
fYear :
2004
fDate :
15-17 Nov. 2004
Firstpage :
486
Lastpage :
490
Abstract :
An illumination invariant face recognition method based on neural network ensemble architecture is proposed. Given a face image with an arbitrary illumination direction, it can complete recognition in a uniform way with high performance without knowing or estimating the illumination direction. Experimental result shows that the recognition ratio of the ensemble architecture is higher than the conventional approach that uses a single neural network to recognize faces of a specific illumination direction.
Keywords :
face recognition; learning (artificial intelligence); lighting; neural net architecture; illumination invariant face recognition method; neural network ensemble architecture; Computer architecture; Computer science; Face recognition; Feature extraction; Feeds; Image recognition; Laboratories; Lighting; Neural networks; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, 2004. ICTAI 2004. 16th IEEE International Conference on
ISSN :
1082-3409
Print_ISBN :
0-7695-2236-X
Type :
conf
DOI :
10.1109/ICTAI.2004.71
Filename :
1374226
Link To Document :
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