APPROACH FOR FACIAL EXPRESSION RECOGNITION BASED ON NEURAL NETWORK ENSEMBLE

被引：0

作者：

Bai, Xue-Fei ^{[1
]}

Wang, Wen-Jian ^{[1
]}

机构：

[1] Shanxi Univ, Sch Comp & Informat Technol, Key Lab Computat Intelligence & Chinese Informat, Minist Educ, Taiyuan 030006, Peoples R China

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

关键词：

Facial expression recognition; Neural network ensemble; Two-dimension principal component analysis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper proposes a novel method for facial expression recognition based on neural network ensemble. The facial expression features are extracted firstly through multi-expression eigenspace analysis, and then several neural networks are trained each with an eigenspace of different expressions respectively. At last their training results are aggregated as inputs of the ensemble classifier, which will provide not only the final recognition results but also the estimated expression information. Simulation results on JAFEE dataset show that the recognition accuracy of the proposed approach is better than that of the best individual neural network

引用

页码：19 / 23

页数：5

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