Inferring facial expressions from videos: Tool and application
Image Communication
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Expression-invariant face recognition by facial expression transformations
Pattern Recognition Letters
Dynamic vs. Static Recognition of Facial Expressions
AmI '08 Proceedings of the European Conference on Ambient Intelligence
Real-time facial expression recognition using STAAM and layered GDA classifier
Image and Vision Computing
Natural Facial Expression Recognition Using Dynamic and Static Schemes
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part I
Efficient facial expression recognition for human robot interaction
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
A review of active appearance models
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Improving dynamic facial expression recognition with feature subset selection
Pattern Recognition Letters
Facial expression transformations for expression-invariant face recognition
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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This paper proposes a real-time person independent facial expression recognition in two folds. One is using the stereo Active Appearance Model (STAAM) fitting algorithm that uses a geometric relationship between two tightly coupled views to increases the accuracy and speed of fitting. Also, a layered generalized discriminant analysis (GDA) classifier combines 3D shape and appearance to improve the recognition performance of person independent facial expressions. Experimental results show that the STAAM have a better fitting stability than the multi-view AAM (MVAAM), and the combination of the shape and appearance features using a layered GDA classifier improves the recognition performance of facial expressions greatly.