Title :
Face recognition method based on virtual sample
Author :
Jin-wei, Wen ; Jia-li, Zhao ; Si-wei, Luo ; Hua, Huang
Author_Institution :
Comput. Sci. & Technol. Coll., Northern Jiaotong Univ., Beijing, China
Abstract :
Research the small sample face recognition approach. A small sample statistics face recognition approach based on virtual sample is presented. In this method, prototype faces are used to create virtual sample to extend the sample set, independent component analysis (ICA) algorithm is used to reduce dimensions and extract features, and then Bayesian expectation maximisation algorithm is adopted to learn the parameters of condition probability function of class features. A Bayes classifier is constructed to recognize test samples. Experience result shows the approach can improve face recognize rate of small sample efficiently
Keywords :
Bayes methods; face recognition; image classification; maximum likelihood estimation; principal component analysis; BEM algorithm; Bayes classifier; Bayesian expectation maximisation algorithm; ICA algorithm; condition probability function parameter learning; dimension reduction; face recognition; feature extraction; independent component analysis; virtual sample; Computer science; Face recognition; Independent component analysis; Minimization methods; Principal component analysis; Probability; Prototypes; Shape measurement; Testing; Virtual prototyping;
Conference_Titel :
Info-tech and Info-net, 2001. Proceedings. ICII 2001 - Beijing. 2001 International Conferences on
Conference_Location :
Beijing
Print_ISBN :
0-7803-7010-4
DOI :
10.1109/ICII.2001.983115