Feature Extraction for Facial Expression Recognition based on Hybrid Face Regions

@inproceedings{Lajevardi2009FeatureEF,
  title={Feature Extraction for Facial Expression Recognition based on Hybrid Face Regions},
  author={Seyed Mehdi Lajevardi and Zahir M. Hussain},
  year={2009}
}
63 Abstract—Facial expression recognition has numerous applications, including psychological research, improved human computer interaction, and sign language translation. A novel facial expression recognition system based on hybrid face regions (HFR) is investigated. The expression recognition system is fully automatic, and consists of the following modules: face detection, facial detection, feature extraction, optimal features selection, and classification. The features are extracted from both… CONTINUE READING
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Facial expression recognition: Gabor filters versus higher-order correlators

  • S. M. Lajevardi, Z. M. Hussain
  • International Conference on Communication…
  • 2009

Zernike moments for facial expression recognition

  • S. M. Lajevardi, Z. M. Hussain
  • International Conference on Communication…
  • 2009

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