Mixed Expression Recognition & Analysis Based on Compressed Sense and Subjection Degree

Abstract:

Mixed expression is more in line with people’s daily perfromance than basic expression.This paper proposed a facial expression recognition method that recognizes and analyze mixed expressions. In this method, Gabor phase and local binary patterns were combined into GPLBP model to obtain the expression features and the model contained good robustness of light. Compressed sense and subjection degree function were adopted to identify the ingredients of main basic expressions in the mixed expression the ratio of each kind of basic expression. Experimental results of comparison respectively to Gabor-SVM and AAM-SVM verified that the proposed method could not only identify and analyze the mixed expression effectively but also recognize the basic expression precisely.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 1118-1123
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.1118
• Online since: April 2014
• Authors: Jun Cai, Yang Yang Li, Yi Zhang
• Keywords: Compressed Sense, Expression Analysis, GPLBP Feature, Mixed Expression, Subjection Degree

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