A neural network model for classification of facial expressions based on dimension model

  • Authors:
  • Young-Suk Shin

  • Affiliations:
  • Department of Information Communication Engineering, Chosun University, Gwangju, Korea

  • Venue:
  • ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
  • Year:
  • 2005

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Abstract

We present a new neural network model for classification of facial expressions based on dimension model that is illumination-invariant and without detectable cues such as a neutral expression. The neural network model on the two-dimensional structure of emotion have improved the limitation of expression recognition based on a small number of discrete categories of emotional expressions, lighting sensitivity, and dependence on cues such as a neutral expression.