Facial expression recognition based on Haar-like feature detection

被引：33

作者：

Panning A. ^{[1
]}

Al-Hamadi A.K. ^{[1
]}

Niese R. ^{[1
]}

Michaelis B. ^{[1
]}

机构：

[1] Institute for Electronics, Signal Processing and Communications, Otto-von-Guericke-University Magdeburg, D-39016 Magdeburg

来源：

Pattern Recognition and Image Analysis | 2008年 / 18卷 / 03期

关键词：

Efficiency of the suggested approaches - Facial expression recognition - Facial feature detection - Facial feature points - Feed-forward artificial neural networks - Geometrical measurement - Haar-like feature detection - Real time requirement;

D O I：

10.1134/S1054661808030139

中图分类号：

学科分类号：

摘要：

In this paper we propose a novel approach for facial feature detection in color image sequences using Haar-like classifiers. The feature extraction is initialized without manual input and has the capability to fulfill the real time requirement. For facial expression recognition, we use geometrical measurement and simple texture analysis in detecting facial regions based on the prior detected facial feature points. For expression classification we used a three layer feed forward artificial neural network. The efficiency of the suggested approach is demonstrated under real world conditions. © 2008 Pleiades Publishing, Ltd.

引用

页码：447 / 452

页数：5

共 16 条

[1] Ekman P., Friesen W.V., Facial Action Coding System (FACS), (1978)
[2] Ford G.L., Et al., Fully Automatic Coding of Basic Expressions from Video
[3] Skelley J., Fischer R., Sarma A., Heisele B., Recognizing Expressions in a New Database Containing Played and Natural Expressions, ICPR, 1, pp. 1220-1225, (2006)
[4] Ioannou S., Wallace M., Kollias S., Intelligent Facial Analysis and Expression Recognition, Proceedings of International Joint Conference on Neural Networks (IJCNN) 2006, (2006)
[5] Sebe N., Cohen I., Gevers T., Huang T.S., Emotion Recognition Based on Joint Visual and Audio Cues, ICPR, 1, pp. 1136-1139, (2006)
[6] Anderson K., McOwan P., A real-time automated system for the recognition of human facial expressions, IEEE Transactions on Systems, Man, and Cybernetics-Part B, (2006)
[7] Lee C.-S., Elgammal A., Nonlinear Shape and Appearance Models for Facial Expression Analysis and Synthesis, ICPR, 1, pp. 497-502, (2006)
[8] Abboud B., Davoine F., Dang M., Statistical Modeling for Facial Expression Analysis and Synthesis, ICIP 2003, (2003)
[9] Viola P., Jones M., Rapid object detection using a boosted cascade of simple features, Proceedings of IEEE Conf. on Computer Vision and Pattern Recognition, (2001)
[10] Lienhart R., Maydt J., An Extended Set of Haar-Like Features for Rapid Object Detection, IEEE ICIP, 1, pp. 900-903, (2002)

← 1 2 →