Automatic Interpretation and Coding of Face Images Using Flexible Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coding, Analysis, Interpretation, and Recognition of Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Expert System for Recognition of Facial Actions and their Intensity
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Real time facial expression recognition in video using support vector machines
Proceedings of the 5th international conference on Multimodal interfaces
Neural Networks - Special issue: Emotion and brain
Emotion Recognition Based on Joint Visual and Audio Cues
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Journal of Cognitive Neuroscience
Machine Learning: An Algorithmic Perspective
Machine Learning: An Algorithmic Perspective
Automatic coding of facial expressions displayed during posed and genuine pain
Image and Vision Computing
Journal of Ambient Intelligence and Smart Environments
Hi-index | 0.00 |
Having computers recognise emotions has benefits for human-computer interaction, psychology, and behavioural analysis. Unfortunately it is a very difficult problem, partly because humans can, to some extent, control the appearance of an emotion on their faces. In this paper we show that building statistical shape models of different parts of the face and combining them can give more successful results than using only a model of the whole face.