DocumentCode :
3272477
Title :
Bayesian Face Recognition Using 2DPCA
Author :
Liping, Niu ; Yanbin, Zheng ; XinYuan, Li ; Yuqiang, Dou
Author_Institution :
Coll. of Comput. & Inf. Technol., Henan Normal Univ., Xinxiang, China
Volume :
2
fYear :
2009
fDate :
15-17 May 2009
Firstpage :
567
Lastpage :
570
Abstract :
Bayesian subspace analysis has been successfully applied in face recognition. However, the direct application of the algorithm is much more computationally intensive. In this paper, a novel Bayesian approach to face recognition based on 2DPCA is proposed. Firstly the system uses 2DPCA to select the 10 top-ranked candidate images, secondly these candidate images and each testing image are decomposed into low frequency and high frequency sub-band images by applying wavelet transform, Bayesian recognition is parallel processed using these sub-band images. The face recognition result was gained through weigh-adding arraying. Its efficiency and superiority are clarified by comparative experiment on a subset of FERET face data.
Keywords :
belief networks; face recognition; principal component analysis; wavelet transforms; 2DPCA; Bayesian subspace analysis; face recognition; principal component analysis; wavelet transform; Application software; Bayesian methods; Covariance matrix; Face recognition; Frequency; Image recognition; Information technology; Principal component analysis; Testing; Wavelet transforms; 2DPCA; Bayesian theor; Face recognition; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
Type :
conf
DOI :
10.1109/IFITA.2009.223
Filename :
5231409
Link To Document :
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