Robust Facial Expression Recognition via Sparse Representation and Multiple Gabor filters
P. Rania Salah El-Sayed Prof.Dr. Ahmed El Kholy.
International Journal of Advanced Computer Science and Applications(IJACSA) (2013)

Facial expressions recognition plays important role in human communication. It has become one of the most challenging tasks in the pattern recognition field. It has many applications such as: human computer interaction, video surveillance, forensic applications, criminal investigations, and in many other fields. In this paper we propose a method for facial expression recognition (FER). This method provides new insights into two issues in FER: feature extraction and robustness. For feature extraction we are using sparse representation approach after applying multiple Gabor filter and then using support vector machine (SVM) as classifier. We conduct extensive experiments on standard facial expressions database to verify the performance of proposed method. And we compare the result with other approach.

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@article{IJACSA.2013.040314,
  abstract = {Facial expressions recognition plays important role in human communication. It has become one of the most challenging tasks in the pattern recognition field. It has many applications such as: human computer interaction, video surveillance, forensic applications, criminal investigations, and in many other fields. In this paper we propose a method for facial expression recognition (FER). This method provides new insights into two issues in FER: feature extraction and robustness. For feature extraction we are using sparse representation approach after applying multiple Gabor filter and then using support vector machine (SVM) as classifier. We conduct extensive experiments on standard facial expressions database to verify the performance of proposed method. And we compare the result with other approach.},
  added-at = {2014-02-21T08:00:08.000+0100},
  author = {{Rania Salah El-Sayed Prof.Dr. Ahmed El Kholy}, Prof.Dr. Mohamed Youssri El-Nahas},
  biburl = {https://www.bibsonomy.org/bibtex/2931c8bd1b4082d1e1e4deaee038e8ff7/thesaiorg},
  interhash = {e8b7386f9f450956d8ddf0f636e1b3f0},
  intrahash = {931c8bd1b4082d1e1e4deaee038e8ff7},
  journal = {International Journal of Advanced Computer Science and Applications(IJACSA)},
  keywords = {(FER); (SVM). Facial Gabor L1-minimization; expression filters; machine recognition representation; sparse support vector},
  number = 3,
  timestamp = {2014-02-21T08:00:08.000+0100},
  title = {{Robust Facial Expression Recognition via Sparse Representation and Multiple Gabor filters}},
  url = {http://ijacsa.thesai.org/},
  volume = 4,
  year = 2013
}

%0 Journal Article
%1 IJACSA.2013.040314
%A Rania Salah El-Sayed Prof.Dr. Ahmed El Kholy, Prof.Dr. Mohamed Youssri El-Nahas
%D 2013
%J International Journal of Advanced Computer Science and Applications(IJACSA)
%K (FER); (SVM). Facial Gabor L1-minimization; expression filters; machine recognition representation; sparse support vector
%N 3
%T Robust Facial Expression Recognition via Sparse Representation and Multiple Gabor filters
%U http://ijacsa.thesai.org/
%V 4
%X Facial expressions recognition plays important role in human communication. It has become one of the most challenging tasks in the pattern recognition field. It has many applications such as: human computer interaction, video surveillance, forensic applications, criminal investigations, and in many other fields. In this paper we propose a method for facial expression recognition (FER). This method provides new insights into two issues in FER: feature extraction and robustness. For feature extraction we are using sparse representation approach after applying multiple Gabor filter and then using support vector machine (SVM) as classifier. We conduct extensive experiments on standard facial expressions database to verify the performance of proposed method. And we compare the result with other approach.

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Robust Facial Expression Recognition via Sparse Representation and Multiple Gabor filters
P. Rania Salah El-Sayed Prof.Dr. Ahmed El Kholy.
International Journal of Advanced Computer Science and Applications(IJACSA) (2013)

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Robust Facial Expression Recognition via Sparse Representation and Multiple Gabor filtersP. Rania Salah El-Sayed Prof.Dr. Ahmed El Kholy. International Journal of Advanced Computer Science and Applications(IJACSA) (2013)

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Cite this publication

Robust Facial Expression Recognition via Sparse Representation and Multiple Gabor filters
P. Rania Salah El-Sayed Prof.Dr. Ahmed El Kholy.
International Journal of Advanced Computer Science and Applications(IJACSA) (2013)