Smile Detection Using Multi-scale Gaussian Derivatives
Résumé
In this paper we show that Multi-scale Gaussian Derivatives combined with Support Vector Machines provide an effective approach to facial expression analysis.The approach was tested on the GENKI and Cohn-Kanade dataset for detecting smiles. Our approach outperformed the current benchmark approach of using Gabor Energy Filters with Support Vector Machines.
Origine : Fichiers produits par l'(les) auteur(s)
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