Boosting encoded dynamic features for facial expression recognition

Pattern Recognition Letters

Volumn 30, Issue 2, 2009, Pages 132-139

  Yang, Peng ^a   Liu, Qingshan ^a,b   Metaxas, Dimitris N ^a  

^a RUTGERS UNIVERSITY   (United States)

^b INSTITUTE OF AUTOMATION   (China)

Author keywords

Boosting; Facial expression; Pattern recognition; Video understanding

Indexed keywords

FACE RECOGNITION; GESTURE RECOGNITION; PATTERN RECOGNITION; PROGRAMMING THEORY;

ADABOOST; BINARY PATTERNS; BOOSTING; DYNAMIC CHARACTERISTICS; DYNAMIC FEATURES; FACE ANALYSIS; FACIAL APPEARANCES; FACIAL EXPRESSION; FACIAL EXPRESSION RECOGNITIONS; TEMPORAL VARIATIONS; VIDEO UNDERSTANDING; WEAK CLASSIFIERS;

FEATURE EXTRACTION;

EID: 56049094605     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.03.014     Document Type: Article

References (23)

1. Bartlett, M., Littlewort, G., Fasel, I., Movellan, J., 2003. Real time face detection and facial expression recognition: Development and applications to human computer interaction. Proc. Internat. Conf. on CVPR Workshop on Computer Vision and Pattern Recognition for Human-Computer Interaction.
2. Black M.J., and Yacoob Y. Recognizing facial expressions in image sequences using local parameterized models of image motion. Internat. J. Comput. Vision (1997)
3. Cohen I., Sebe N., Chen L., Garg A., and Huang T. Facial expression recognition from video sequences: Temporal and static modeling. Comput. Vision Image Understand. (2003)
4. Daugman J. Demodulation by complex-valued wavelets for stochastic pattern recognition. Internat. J. Wavelets Multiresolution Inform. Process. (2003)
5. Ekman, P., Friesen, W.V., Hager, J.C., 2002. Facial Action Coding System: Manual.
6. Fasel B., and Luettin J. Automatic facial expression analysis: A survey. Pattern Recognition 36 (2003) 259-275
7. Gu, Haisong, Ji, Qiang, 2004. Facial event classification with task oriented dynamic bayesian network. In: Proc. of Internat. Conf. on Computer Vision and Pattern Recognition.
8. James Lien J.-J., Kanade T., Cohn J., and Li C. Detection, tracking, and classification of action units in facial expression. J. Robotics Autonomous Syst. (1999)
9. Liu C., and Wechsler H. Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition. IEEE Trans. Image Process. (2002)
10. Ojala T., and Pietikainen M. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Machine Intell. (2002)
11. Pantic M., and Rothkrantz L.J.M. Automatic analysis of facial expressions: The state of the art. IEEE Trans. Pattern Anal. Machine Intell. 22 12 (2000) 1424-1445
12. Pantic M., and Rothkrantz J. Facial action recognition for facial expression analysis from static face images. IEEE Trans. Syst. Man Cybernet. (2004)
13. Paul V., and Michael J. Robust real-time object detection. Internat. J. Comput. Vision (2002)
14. Shan, Shiguang, Gao, Wen, Chang, Yizheng, Cao, Bo, Yang, Peng, 2004. Review the strength of gabor features for face recognition from the angle of its robustness to mis-alignment. In: Proc. ICPR.
15. Shan, Caifeng, Gong, Shaogang, McOwan, Peter W., 2005. Conditional mutual information based boosting for facial expression recognition. In: British Machine Vision Conf.
16. Tian, Y., 2004. Evaluation of face resolution for expression analysis. In: Proc. Internat. Conf. on CVPR Workshop on Face Processing in Video (FPIV'04).
17. Tian, Y., Kanade, T., Cohn, J., 2002. Evaluation of gabor wavelet-based facial action unit recognition in image sequences of increasing complexity. In: Proc. Internat. Conf. on Automatic Face and Gesture Recognition (FG'02).
18. Valstar, M.F., Patras, I., Pantic, M., 2005. Facial action unit detection using probabilistic actively learned support vector machines on tracked facial point data. In: Proc. Internat. Conf. on CVPR Workshop on Computer Vision and Pattern Recognition for Human-Computer Interaction.
19. Whitehill, Jacob, Omlin, Christian W., 2006. Haar features for FACS AU recognition. In: Proc. of Internat. Conf. on Automatic Face and Gesture Recognition.
20. Yacoob, Yaser, Davis, Larry, 1994. Computing spatio-temporal representations of human faces. In: Proc. of Internat Conf. on Computer Vision and Pattern Recognition.
21. Zeng, Zhihong, Pantic, Maja, Roisman, Glenn I., Huang, Thomas S., 2007. A survey of affect recognition methods: Audio, visual and spontaneous expressions. In: Internat Conf. on Multimodal Interfaces.
22. Zhang, Zhengyou, Lyons, M., Schuster, M., Akamatsu, S., 1998. Comparison between geometry-based and gabor-wavelets-based facial expression recognition using multi-layer perceptrong. In: Proc. Internat. Conf. on Automatic Face and Gesture Recognition.
23. Zhao G., and Pietikainen M. Texture recognition using local binary patterns with an application to facial expressions. IEEE Trans. Pattern Anal. Machine Intell. (2007)