DocumentCode :
2150262
Title :
A Hierarchical Face Recognition Method Based on Local Binary Pattern
Author :
Bai, Gang ; Zhu, Yi ; Ding, Zongyao
Volume :
2
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
610
Lastpage :
614
Abstract :
This paper proposes a hierarchical method to deal with the multi-pose face recognition problem. The Local Binary Pattern (LBP) feature is used as the uniform feature throughout the two-hierarchy process. Also, a new method, named Multi-expert Intelligent Decision System, is proposed to improve the performance of the pose estimation process. According to the experiments, the method is proved to be efficient and robust.
Keywords :
Educational institutions; Eyes; Face recognition; Intelligent systems; Lighting; Noise robustness; Nose; Pattern recognition; Pixel; Signal processing; Facial Pose Estimation; Hierarchical Face Recognition; Local Binary Pattern; Multi-expert Intelligent Decision System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.520
Filename :
4566375
Link To Document :
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