A facial expression classification system based on active shape model and support vector machine

Proceedings - 2011 International Symposium on Computer Science and Society, ISCCS 2011

Volumn , Issue , 2011, Pages 311-314

  Hsieh, Chen Chiung ^a   Jiang, Meng Kai ^a  

^a TATUNG UNIVERSITY   (Taiwan)

Author keywords

Active Shape Model; face detection; facial expression recognition; Gabor filte; Support Vector Machine

Indexed keywords

ACTIVE SHAPE MODEL; ACTIVE SHAPE MODELS; CLASSIFICATION SYSTEM; COHN-KANADE DATABASE; FACIAL COMPONENTS; FACIAL EXPRESSION CLASSIFICATION; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; FACIAL FEATURE; FACIAL TEXTURES; GABOR FILTE; GABOR FILTER; HAAR-LIKE FEATURES; LAPLACIAN OF GAUSSIAN; RECOGNITION RATES; SUPPORT VECTOR; TEXTURE FEATURE VECTOR; TEXTURE INFORMATION;

ADAPTIVE BOOSTING; COMPUTER SCIENCE; FEATURE EXTRACTION; GESTURE RECOGNITION; IMAGE SEGMENTATION; SUPPORT VECTOR MACHINES; TEXTURES; VECTORS;

FACE RECOGNITION;

EID: 80053012978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCCS.2011.102     Document Type: Conference Paper

References (13)

1. R. Lienhart and J. Maydt, "An extended set of Haar-like features for rapid object detection," Image Processing, 2002, pp. 900-903.
2. T. F. Cootes, C. J. Taylor, D. H. Cooper, and J. Graham "Active shape models - their training and application," Computer Vision and Image Understanding, vol. 61, 1995, pp. 38-59.
3. B. E. Boser, I. M. Guyon, and V. N. Vapnik, "Support vector machines are universally consistent," Journal of Complexity, Jena, Germany, 2002, pp. 768-791.
4. B. Fasel and J. Luettin, "Automatic facial expression analysis: a survey," Pattern Recognition, vol. 36, 2003, pp. 259-275.
5. W. A. Fellenz, J. G. Taylor, N. Tsapatsoulis, and S. Kollias "Comparing template-based, feature-base and supervised classification of facial expressions from static images," Proc. Circuits, System, Communications and Computers, 1999, pp. 5331-5336.
6. H. Kobayashi and F. Hara, "Facial interaction between animated 3D face robot and human beings," Proc. Int. Conf. Systems, Man, Cybernetics, 1997, pp. 3732-3737.
7. Y. Zilu, L. Jingwen, and Z. Youwei, "Facial expression recognition based on two dimensional feature extraction," Int. Conf. on Software Process, 2008, pp.1440-1444.
8. S. Bashyal and G. K. Venayagamoorthy, "Recognition of facial expressions using Gabor wavelets and learning vector quantization," Engineering Applications of Artificial Intelligence, vol. 21, Oct. 2008, pp. 1056-1064.
9. N. Surendran and S. Xie, "Automated facial expression recognition - an integrated approach with optical flow analysis and support vector machines," Int. Journal of Intelligent Systems Technologies and Applications, vol. 7, 2009, pp. 316-346.
10. D. Terzopoulos and K. Waters, "Analysis of facial images using physical and anatomical models," Proc. of the Third Int. Conf. on Computer Vision, Osaka, Japan, 1990, pp.737-732.
11. D. Vukadinovic and M. Pantic, "Fully automatic facial feature point detection using gabor feature based boosted classifiers," IEEE Int. Conf. on Systems, 2005, pp. 1692-1698.
12. J. Ou, X.B. Bai, Y. Pei, L. Ma, and W. Liu, "Automatic facial expression recognition using gabor filter and expression analysis," Int. Conf. on Computer Modeling and Simulation, vol. 2, 2010, pp. 215-218.
13. th IEEE Int. Conf. on Automatic Face and Gesture Recognition (FG'00), Grenoble, France, 2000, pp. 46-53.