一种用于表情识别的局部判别分量分析算法

doi:10.3969/j.issn.0372-2112.2014.01.025

电子学报 ›› 2014, Vol. 42 ›› Issue (1): 155-159.DOI: 10.3969/j.issn.0372-2112.2014.01.025

一种用于表情识别的局部判别分量分析算法

蒋斌, 贾克斌

北京工业大学电子信息与控制工程学院, 北京 100124

收稿日期:2012-10-29 修回日期:2013-05-20 出版日期:2014-01-25
- 作者简介:
- 蒋斌 男，1983年1月出生，河南新乡人.北京工业大学电子信息与控制工程学院博士生.主要研究方向为人脸表情识别. E-mail:bj2009@emails.bjut.edu.cn 贾克斌 男，1962年8月出生，河南安阳人.教授、博士生导师、北京工业大学电子信息与控制工程学院院长、中国电子学会高级会员.主要从事人脸表情识别和多媒体信息处理等方面的研究工作.
- 基金资助:
- 国家自然科学基金 (No.30970780）; 教育部博士点基金 (No.20091103110005）

A Local Discriminative Component Analysis Algorithm for Facial Expression Recognition

JIANG Bin, JIA Ke-bin

College of Electronic Information & Control Engineering, Beijing University of Technology, Beijing 100124, China

Received:2012-10-29 Revised:2013-05-20 Online:2014-01-25 Published:2014-01-25
- Supported by:
- National Natural Science Foundation of China (No.30970780); Ph.D. Programs Foundation of Ministry of Education of China (No.20091103110005)

摘要/Abstract

摘要： 在判别分量分析算法的基础上，提出了一种针对人脸表情识别任务的局部判别分量分析算法.首先该算法为每个测试样本选取了一组近邻训练样本，获取了训练集的局部样本结构.然后在最大化判别样本子集协方差的同时，最小化样本子集内所有数据的协方差，从而有效地提取了测试样本的表情特征.在多个人脸表情数据库上的实验结果表明，该算法不但提高了判别分量分析算法的表情识别率，而且具有较强的鲁棒性.

关键词: 人脸表情识别, 判别分量分析, 样本子集

Abstract: Based on discriminative component analysis(DCA)algorithm,a local discriminative component analysis(LDCA)algorithm for facial expression recognition is proposed.First,LDCA algorithm chooses a number of nearest neighbors of a test sample from a training set to capture the local data structure.Then,the facial expression features of each testing sample are extracted by maximizing the total variance between the discriminative data chunklets and minimizing the total variance of data instances in the same chunklets.The experimental results on several representative facial expression datasets show that proposed method not only improves the recognition rate of DCA algorithm,but also exhibits strong robustness.

Key words: facial expression recognition, discriminative component analysis, chunklet

中图分类号:

TP391.4

蒋斌, 贾克斌. 一种用于表情识别的局部判别分量分析算法[J]. 电子学报, 2014, 42(1): 155-159.

JIANG Bin, JIA Ke-bin . A Local Discriminative Component Analysis Algorithm for Facial Expression Recognition[J]. Acta Electronica Sinica, 2014, 42(1): 155-159.

参考文献

[1] E P Xing,A Ng,M Jordan,et al.Distance metric learning with application to clustering with side-information [A].Proceedings of Advances in Neural Information Processing Systems [C].Cambridge,US:MIT Press,2002.521-528.
[2] N Shental,T Hertz,D Weinshall.Adjustment learning and relevant component analysis [A].Proceedings of the European Conference on Computer Vision [C].Berlin,German:Springer-Verlag,2002.776-792.
[3] S C H Hoi,W Liu,M R Lyu.Learning distance metrics with contextual constraints for image retrieval [A].Proceedings of Computer Vision and Pattern Recognition [C].New York:IEEE Computer Society,2006.2072-2078.
[4] Xiang Shi-ming,Nie Fei-ping,Zhang Chang-shui.Learning a mahalanobis distance metric for data clustering and classification[J].Pattern Recognition,2008,41(12):3600-3612.
[5] Bin Jiang,Ke-bin Jia,Qiang Wu.A novel algorithm of facial expression recognition based on discriminative component analysis [A].Proceedings of International Conference on Intelligent Information Hiding and Multimedia Signal Processing [C].Piscataway,NJ:IEEE Press,2012.399-402.
[6] Zhan Shi,Jinglu Hu.Local linear discriminant analysis with composite kernel for face recognition [A].Proceedings of International Joint Conference on Neural Networks [C].Piscataway,NJ:IEEE Press,2012.1-5.
[7] Zhan Wang,Qiuqi Ruan,Gaoyun An.Facial expression recognition based on tensor local linear discriminant analysis [A].Proceedings of International Conference on Signal Processing [C].Piscataway,NJ:IEEE Press,2012.1226-1229.
[8] Martõânez A,Kak A.PCA versu0s LDA[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(2):228-233.
[9] M Lyons,S Akamatsu,M Kamachi,et al.Coding facial expressions with gabor wavelets [A].Proceedings of International Conference on Automatic Face and Gesture Recognition [C].Piscataway,NJ:IEEE Press,1998.200-205.
[10] T Kanade,J Cohn,Y L Tian.Comprehensive database for facial expression analysis [A].Proceedings of International Conference on Automatic Face and Gesture Recognition [C].Piscataway,NJ:IEEE Press,2000.46-53.
[11] Langner O,Dotsch R,Bijlstra G,et al.Presentation and validation of the Radboud Faces Database[J].Cognition & Emotion,2010,24(8):1377-1388.
[12] O Rudovic,V Pavlovic,M Pantic.Multi-output laplacian dynamic ordinal regression for facial expression recognition and intensity estimation [A].Proceedings of IEEE Conference on Computer Vision and Pattern Recognition [C].Piscataway,NJ:IEEE Press,2012.2634-2641.
[13] Zhao Xiaoming,Zhang Shiqing.Facial expression recognition using local binary patterns and discriminant kernel locally linear embedding[J].EURASIP Journal on Advances in Signal Processing,2012,2012:20.
[14] Kanan H R,Ahmady M.Recognition of facial expressions using locally weighted and adjusted order pseudo zernike moments [A].Proceedings of International Conference on Pattern Recognition [C].Piscataway,NJ:IEEE Press,2012.3419-3422.

一种用于表情识别的局部判别分量分析算法

A Local Discriminative Component Analysis Algorithm for Facial Expression Recognition

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