Facial expression recognition based on Gabor histogram feature and MVBoost

Jisuanji Yanjiu yu Fazhan/Computer Research and Development

Volumn 44, Issue 7, 2007, Pages 1089-1096

  Liu, Xiaomin ^a   Zhang, Yujin ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Boost method; Classifier; Facial expression recognition; Gabor feature; Histogram

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE UNDERSTANDING;

ADABOOST ALGORITHM; BOOST METHOD; FACIAL EXPRESSION ANALYSIS; FACIAL EXPRESSION RECOGNITION; FACIAL FEATURES; GABOR COEFFICIENTS; GABOR FEATURE; GABOR TRANSFORM; HISTOGRAM; MULTICLASS CLASSIFICATION; MVBOOST;

FACE RECOGNITION;

EID: 34548643245     PISSN: 10001239     EISSN: None     Source Type: Journal    
DOI: 10.1360/crad20070701     Document Type: Article

References (10)

1. Liu Xiaomin, Tan Huachun, Zhang Yujin. New research advances in facial expression recognition[J]. Journal of Image and Graphics, 2006, 11(10): 1359-1368 (in Chinese).
2. M Lyons, J Budynek, S Akamastu. Automatic classification of single facial images[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 1999, 21(12): 1357-1362.
3. Z Wen, T Huang. Capturing subtle facial motions in 3D face tracking[C]. IEEE Int'l Conf on Computer Vision, Nice, France, 2003.
4. B Fasel, J Luettin. Automatic facial expression analysis: A survey[J]. Pattern Recognition, 2003, 36(1): 259-275.
5. Y Wang, H Ai, B Wu, et al. Real time facial expression recognition with AdaBoost[C]. Int'l Conf on Pattern Recognition, Cambridge, UK, 2004.
6. S U Jung, D H Kim, K H An, et al. Efficient rectangle feature extraction for real-time facial expression recognition based on AdaBoost[C]. In: Proc of IEEE/RSJ Int'l Conf on Intelligent Robots and Systems. Piscataway, NJ: IEEE Press, 2005. 1941-1946.
7. M S Bartiett, G Littlewort, M Frank, et al. Reco gnizing facial expression: Machine learning and application to spontaneous behavior[C]. IEEE Conf on Computer Vision and Pattern Recognition, San Diego, CA, 2005.
8. P Viola, M Jones. Robust real-time object detection[R]. Cambridge Research Laboratory, Tech Rep: CRL 2001/01, 2001.
9. R E Schapire, Y Singer. Improved boosting algorithms using confidence-rated predictions[J]. Machine Learning, 1999, 37(3): 297-336.
10. N R Howe. A closer look at boosted image retrieval[C]. In: Proc of the CIVR. Berlin: Springer, 2003. 61-70.