Independent Component Analysis of Gabor Features for Facial Expression Recognition

被引：4
|
作者：
Zhang Qiang [1 ]
Chen Chen [1 ]
Zhou Changjun [1 ]
Wei Xiaopeng [1 ]
机构：
[1] Dalian Univ, Liaoning Key Lab Intelligent Informat Proc, Dalian 116622, Peoples R China
来源：
ISISE 2008: INTERNATIONAL SYMPOSIUM ON INFORMATION SCIENCE AND ENGINEERING, VOL 1 | 2008年
关键词：
facial expression recognition; Gabor feature; ICA; independent Gabor features; SVM;
D O I：
10.1109/ISISE.2008.323
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 by using independent component analysis of Gabor features. In the feature extraction stage, Gabor feature vectors are firstly extracted from a set of facial expressions images, then using independent component analysis (ICA) to extract the independent Gabor features. After that, the independent Gabor features are used to train SVM to realize the facial expression recognition, and the computer simulation illustrates the effectivity of this method to classify the seven expressions of the JAFFE database.
引用
收藏
页码：84 / 87
页数：4
相关论文
共 50 条
  • [1] Facial Expression Recognition by Independent Log-Gabor Component Analysis
    Fu, Siyao
    Kuai, Xinkai
    Yang, Guosheng
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2011, PT II, 2011, 6676 : 305 - 312
  • [2] Facial expression recognition based on independent component analysis
    Guo, Xiaohui
    Zhang, Xiao
    Deng, Chao
    Wei, Jianyu
    [J]. Journal of Multimedia, 2013, 8 (04): : 402 - 409
  • [3] Learning spatiotemporal features by using independent component analysis with application to facial expression recognition
    Long, Fei
    Wu, Tingfan
    Movellan, Javier R.
    Bartlett, Marian S.
    Littlewort, Gwen
    [J]. NEUROCOMPUTING, 2012, 93 : 126 - 132
  • [4] Discriminant Analysis of Two-Dimensional Gabor Features for Facial Expression Recognition
    Kashapova L.K.
    Latysheva E.Y.
    Spiridonov I.N.
    [J]. Biomedical Engineering, 2012, 46 (03) : 89 - 92
  • [5] Independent subspace of dynamic Gabor features for facial expression classification
    Siritanawan, Prarinya
    Kotani, Kazunori
    Chen, Fan
    [J]. 2014 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM), 2014, : 47 - 54
  • [6] FACIAL EXPRESSION RECOGNITION BASED ON FUSION OF GABOR AND LBP FEATURES
    Zhao, Quan-You
    Pan, Bao-Chang
    Pan, Jian-Jia
    Tang, Yuan-Yan
    [J]. PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1 AND 2, 2008, : 362 - +
  • [7] Facial expression recognition based on fusion of multiple Gabor features
    Liu, WeiFeng
    Wang, ZengFu
    [J]. 18TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 3, PROCEEDINGS, 2006, : 536 - +
  • [8] Facial expression recognition using NKFDA method with gabor features
    Lu, Huchuan
    Wang, Zhongjun
    Liu, Xiaoyu
    [J]. WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 554 - 554
  • [9] Facial Expression Recognition Based on Gabor Features and Sparse Representation
    Liu, Weifeng
    Song, Caifeng
    Wang, Yanjiang
    Jia, Lu
    [J]. 2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV), 2012, : 1402 - 1406
  • [10] Independent component analysis of Gabor features for texture classification
    Chen, Yang
    Fu, Zhanping
    Han, Yu
    Wang, Runsheng
    [J]. OPTICAL ENGINEERING, 2008, 47 (12)
12345