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International Conference on Knowledge-Based and Intelligent Information and Engineering Systems

KES 2004: Knowledge-Based Intelligent Information and Engineering Systems pp 203–209Cite as

A Fully Automatic System Recognizing Human Facial Expressions

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3215))

Abstract

The facial expression recognition system normally consists of three cascade stages: face detection, normalization and classification of facial expressions. Recent studies in this area often concentrate on how to develop a fast and accurate classifier, which corresponds to the last stage. However, it is essential to automate the first two stages. This paper describes a fully automatic facial expression system in which above three stages are carried out without any human intervention. In particular, we focus on how the normalization stage impacts upon the overall performance of the facial expression recognition system. Recognition performance of the automatic case is compared with that of the manual normalization case.

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Sejong University, Seoul, Korea

    Yong-Guk Kim

  2. Department of Electrical Engineering, Korea University, Seoul, Korea

    Sung-Oh Lee, Sang-Jun Kim & Gwi-Tae Park

Authors
  1. Yong-Guk Kim
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  2. Sung-Oh Lee
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  3. Sang-Jun Kim
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  4. Gwi-Tae Park
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Kim, YG., Lee, SO., Kim, SJ., Park, GT. (2004). A Fully Automatic System Recognizing Human Facial Expressions. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30134-9_29

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  • DOI: https://doi.org/10.1007/978-3-540-30134-9_29

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23205-6

  • Online ISBN: 978-3-540-30134-9

  • eBook Packages: Springer Book Archive

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