Abstract

We deal with the problem of human facial expression recognition. An image is preprocessed for feature extraction using moment descriptors; then, it is represented in the product lattice  of Intervals’ Numbers (INs). Both learning and generalization are pursued in  by a Fuzzy Lattice Reasoning (FLR) classifier based on an inclusion measure function . Preliminary, experiments on a benchmark set have been promising.

Citation

S.E. Papadakis, V.G. Kaburlasos, G.A. Papakostas, “Fuzzy lattice reasoning (FLR) classifier for human facial expression recognition”, Proceedings of the 10th International FLINS Conference on Uncertainty Modeling in Knowledge Engineering and Decision Making (FLINS 2012), Istanbul, Turkey, 26-29 August 2012. World Scientific Proceedings Series on Computer Engineering and Information Science, vol. 7, pp. 633-638.

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