This paper describes a new method of facial expression recognition based on Independent Component Analysis (ICA) and eigen-space method. We had proposed Eigen-space Method based on Class-features (EMC), and EMC was the outstanding method with classification accuracy superior to Multiple Discriminant Analysis (MDA). Our new method, GEMC, is a generalization of EMC by using ICA technique. GEMC has discriminated the facial expression class in a precision 10 or more points higher than conventional methods (EMC, MDA and ICA) because of classification experiments.
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