Smile Detection Using Multi-scale Gaussian DerivativesReport as inadecuate




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* Corresponding author 1 PRIMA - Perception, recognition and integration for observation of activity Inria Grenoble - Rhône-Alpes, UJF - Université Joseph Fourier - Grenoble 1, INPG - Institut National Polytechnique de Grenoble , CNRS - Centre National de la Recherche Scientifique : UMR5217

Abstract : 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.





Author: Varun Jain - James L. Crowley -

Source: https://hal.archives-ouvertes.fr/



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