Expression recognition using fuzzy spatio-temporal modeling
Pattern Recognition
Simultaneous Facial Action Tracking and Expression Recognition in the Presence of Head Motion
International Journal of Computer Vision
Extension of cascaded simple feature based face detection to facial expression recognition
Pattern Recognition Letters
Integrated Computer-Aided Engineering
Automatic facial expression recognition using boosted discriminatory classifiers
AMFG'07 Proceedings of the 3rd international conference on Analysis and modeling of faces and gestures
Visual affect recognition
Human facial expression recognition using hybrid network of PCA and RBFN
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Face-based multiple instance analysis for smart electronics billboard
Multimedia Tools and Applications
3D human face description: landmarks measures and geometrical features
Image and Vision Computing
Learning realistic facial expressions from web images
Pattern Recognition
Robust facial expressions recognition using 3D average face and ameliorated adaboost
Proceedings of the 21st ACM international conference on Multimedia
Spontaneous facial expression recognition: A robust metric learning approach
Pattern Recognition
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In this paper, we propose a novel method for facial expression recognition. The facial expression is extracted from human faces by an expression classifier that is learned from boosting Haar feature based Look-Up-Table type weak classifiers. The expression recognition system consists of three modules, face detection, facial feature landmark extraction and facial expression recognition. The implemented system can automatically recognize seven expressions in real time that include anger, disgust, fear, happiness, neutral, sadness and surprise. Experimental results are reported to show its potential applications in human computer interaction.