Facial expression analysis across databases

2011 International Conference on Multimedia Technology, ICMT 2011

Volumn , Issue , 2011, Pages 317-320

  Zhang, Zheng ^a   Fang, Chi ^a   Ding, Xiaoqing ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Facial expression; Fusion; Generalization ability

Indexed keywords

FACE IMAGES; FACIAL EXPRESSION ANALYSIS; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; FEATURE LEVEL; FUSION METHODS; GABOR FEATURE; GENERALIZATION ABILITY; PERFORMANCE METRICES;

ALGORITHMS; DATABASE SYSTEMS; EXPERIMENTS; FUSION REACTIONS; GESTURE RECOGNITION; PROBLEM SOLVING;

FACE RECOGNITION;

EID: 80052926398     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMT.2011.6001655     Document Type: Conference Paper

References (13)

1. T. Kanade, J. Cohn, and Y. Tian, Comprehensive database for facial expression analysis, 4th IEEE International Conference on Automatic Face and Gesture Recognition, 2000, pages 46-53.
2. Patrick Lucey, Jeffrey F. Cohn, Takeo Kanade, Jason Saragih and Zara Ambadar. The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression, CVPR 2010.
3. M. Obaid, R. Mukundan, R. Goecke, M. Billinghurst and H. Seichter, A Quadratic Deformation Model for Facial Expression Recognition, Digital Image Computing: Techniques and Applications, 2009.
4. Sungsoo Park, Jongju Shin and Daijin Kim, Facial expression analysis with facial expression deformation, ICPR 2008.
5. Bouchra Abboud, Franck Davoine and Mo Dang, Facial expression recognition and synthesis based on an appearance model, Signal Processing: Image Communication Volume 19, Issue 8, September 2004, Pages 723-740.
6. L. Yin, X. Chen, Y. Sun, T. Worm, and M. Reale, A high-resolution 3D dynamic facial expression database, International Conference on Automatic Face And Gesture Recognition, 2008.
7. Hao Tang and Thomas S. Huang, 3D Facial Expression Recognition Based on Automatically Selected Features, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008.
8. R. Ramanathan, K.P. Soman, Arun. S. Nair, V. Vidhya Sagar and N. Sriram, A Support Vector Machines Approach for Efficient Facial Expression Recognition, International Conference on Advances in Recent Technologies in Communication and Computing, 2009.
9. Jun Ou, Xiao-Bo Bai, Yun Pei ,Liang Ma and Wei Liu, Automatic Facial Expression Recognition Using Gabor Filter And Expression Analysis, Second International Conference on Computer Modeling and Simulation, 2010.
10. Quan-You Zhao, Bao-Chang Pan, Jian-Jia Pan and Yuan-Yan Tang, Facial expression recognition based on fusion of Gabor and LBP features, Wavelet Analysis and Pattern Recognition, 2008.
11. Yong Ma and Xiaoqing Ding, Robust real-time face detection based on Cost-Sensitive AdaBoost, IEEE International Conference on Multimedia & Expo, 2003, pp.465∼468.
12. Yong Ma, Xiaoqing Ding, Zhenger Wang and Ning Wang, Robust precise eye location under probabilistic framework, IEEE International Conference on Automatic Face and Gesture Recognition, Korea, 2004, pp. 339∼344.
13. Chih-Chung Chang and Chih-Jen Lin, LIBSVM: a library for support vector machines, 2001.