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Conference papers

Smile Detection Using Multi-scale Gaussian Derivatives

Varun Jain 1, * James L. Crowley 1
* 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.
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Submitted on : Wednesday, April 3, 2013 - 2:10:19 PM
Last modification on : Tuesday, February 9, 2021 - 3:24:31 PM
Long-term archiving on: : Sunday, April 2, 2017 - 11:37:12 PM


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  • HAL Id : hal-00807362, version 1



Varun Jain, James L. Crowley. Smile Detection Using Multi-scale Gaussian Derivatives. 12th WSEAS International Conference on Signal Processing, Robotics and Automation, Feb 2013, Cambridge, United Kingdom. ⟨hal-00807362⟩



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