| W. Fellenz, J. Taylor, N. Tsapatsoulis and S. Kollias |
| Comparing Template-based, Feature-based and Supervised Classification of Facial Expressions from Static Images |
| Computational Intelligence and Applications, World Scientific and Engineering Society Press, 1999. |
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ABSTRACT
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| In this paper we compare the performance and generalization capabilities of different low-dimensional representations for facial emotion classification from static face images showing happy, angry, sad, and neutral expressions. Three general strategies are compared: The first approach uses the average face for each class as a generic template and classifies the individual facial expressions according to the best match of each template. The second strategy uses a multi-layered perceptron trained with the backpropagation of error algorithm on a subset of all facial expressions and subsequently tested on unseen face images. The third approach introduces a preprocessing step prior to the learning of an internal representation by the perceptron.
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| 15 May , 1999 |
| W. Fellenz, J. Taylor, N. Tsapatsoulis and S. Kollias, "Comparing Template-based, Feature-based and Supervised Classification of Facial Expressions from Static Images", Computational Intelligence and Applications, World Scientific and Engineering Society Press, 1999. |
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