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Person Independent Facial Expression Recognition Using 3D Facial Feature Positions

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Computer and Information Sciences III

Abstract

Facial expressions contain a lot of information about the feelings of a human. They play an important role in human–computer interaction. In this paper, we propose a person independent facial expression recognition algorithm based on 3-Dimensional (3D) geometrical facial feature positions to classify the six basic expressions of the face: Anger, disgust, fear, happiness, sadness and surprise. The algorithm is tested on BU-3DFE database and provides encouraging recognition rates.

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Author information

Authors and Affiliations

  1. Computer Engineering Department, Cyprus International University, Mersin 10, Lefkosa, Turkey

    Kamil Yurtkan

  2. Electrical and Electronic Engineering Department, Eastern Mediterranean University, Mersin 10, Gazimağusa, Turkey

    Hasan Demirel

Authors
  1. Kamil Yurtkan
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  2. Hasan Demirel
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Corresponding author

Correspondence to Kamil Yurtkan .

Editor information

Editors and Affiliations

  1. , Dept of Electrical and Electronics Eng'g, Imperial College, London, SW7 2BT, United Kingdom

    Erol Gelenbe

  2. , EEE Dept., Imperial College, Exhibition Rd., London, SW72AZ, United Kingdom

    Ricardo Lent

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© 2013 Springer-Verlag London

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Yurtkan, K., Demirel, H. (2013). Person Independent Facial Expression Recognition Using 3D Facial Feature Positions. In: Gelenbe, E., Lent, R. (eds) Computer and Information Sciences III. Springer, London. https://doi.org/10.1007/978-1-4471-4594-3_33

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  • DOI: https://doi.org/10.1007/978-1-4471-4594-3_33

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4593-6

  • Online ISBN: 978-1-4471-4594-3

  • eBook Packages: EngineeringEngineering (R0)

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