FACIAL EXPRESSION RECOGNITION USING FACE CLUSTERING BASED DISCRIMINANT ANALYSIS

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MOHAMMADIAN AMIN; AGHAEINIA HASSAN; TOWHIDKHAH FARZAD

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Journal Paper

Paper Information

Journal: SIGNAL AND DATA PROCESSING Year:2014 | Volume:- | Issue:1 (SERIAL 21) Page(s): 95-106

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Information Journal Paper

Title

FACIAL EXPRESSION RECOGNITION USING FACE CLUSTERING BASED DISCRIMINANT ANALYSIS

Author(s)

MOHAMMADIAN AMIN | AGHAEINIA HASSAN | TOWHIDKHAH FARZAD | Issue Writer Certificate

Keywords

FACE CLUSTERINGQ2

FACIAL EXPRESSION RECOGNITIONQ2

DISCRIMINANT ANALYSISQ2

Abstract

This paper examines the performance of FACIAL EXPRESSION RECOGNITION improved by a DISCRIMINANT ANALYSIS method. The proposed method incorporate knowledge of FACE CLUSTERING in linear DISCRIMINANT ANALYSIS to improve it’s performance. Three FACE CLUSTERING approach have been considered. Intra-subject covariance and inter-subject covariance matrix are calculated in each cluster. The new sample is projected by mapping learned by samples in his cluster. Therefore, variation between train and test samples is reduced and the generalization performance of linear DISCRIMINANT ANALYSIS is improved. Experimental results on the CK+ database confirm the efficiency of the proposed method in recognition rate improvement. This approach is applicable for many methods used in large scale FACIAL EXPRESSION RECOGNITION.

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