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In this paper, the problem of person-independent facial expression recognition from 3D facial features is investigated. We propose a methodology for the selection of features that uses a multi-objective genetic algorithm where the number of features is optimized to improve classification accuracy. The facial feature selection aims to derive a set of features from the original expression images, which...
The design of a recognition system requires careful attention to pattern representation and classifier design. Some statistical approaches choose these features, in a higher dimensional initial space, which allow sample vectors belonging to different categories to occupy compact and disjoint cluster regions in a lower dimensional subspace. The effectiveness of the subspace is determined by how well...
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