Face recognition method based on virtual sample
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.