What does the retina know about natural scenes?
Neural Computation
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Image Analysis by Unsupervised Learning
Face Image Analysis by Unsupervised Learning
Facial expression recognition from video sequences: temporal and static modeling
Computer Vision and Image Understanding - Special issue on Face recognition
EMPATH: A Neural Network that Categorizes Facial Expressions
Journal of Cognitive Neuroscience
Facial expression recognition based on two dimensions without neutral expressions
ICEC'05 Proceedings of the 4th international conference on Entertainment Computing
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This paper addresses the problem of facial expressions recognition using principal component analysis and independent component analysis onto dimension of the emotion. To reflect well the changes in facial expressions, a representation based on principal component analysis (PCA) excluded the first 2 principal components is presented, ICA representation from this PCA representation is developed. Facial expression performance in two dimensional structure was significant 90.9% in pleasure/displeasure dimension and 66.6% in the arousal/sleep dimension. The findings indicate that the two dimensional structure of emotion may reflect various emotion states as a stabled structure for the facial expression recognition.