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International Conference on Computational and Information Science

CIS 2006: Computational Intelligence and Security pp 1078–1084Cite as

Real-Time Expression Recognition System Using Active Appearance Model and EFM

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4456))

Abstract

We present a continuous facial expression recognition system based on Active Appearance Model (AAM) and Enhanced Fisher-Discriminant Model (EFM). AAM has been widely used in face tracking, face recognition, and object recognition tasks. In this study, we have implemented an independent AAM using Inverse Compositional Image Alignment method, which is a useful for the real-time system, because of its fast performance. The evaluation of this system carried out with the standard Cohn-Kanade facial expression database.

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References

  1. Matthews, I., Baker, S.: Active Appearance Models revisited International Journal of Computer vision, 135–164 (2004)

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  2. Edwards, G.J., Taylor, C.J., Cootes, T.F.: Interpreting Face Images using Active Appearance Models. In: Proc. International Conference on Automatic Face and Gesture Recognition, pp. 300–305 (1998)

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  3. Lucas, B., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the International Joint Conference on Artificial Intelligence, pp. 674–679 (1981)

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Author information

Authors and Affiliations

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

    Kyoung-Sic Cho, Yong-Guk Kim & Yang-Bok Lee

Authors
  1. Kyoung-Sic Cho
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  2. Yong-Guk Kim
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  3. Yang-Bok Lee
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Editor information

Editors and Affiliations

  1. School of Computer Science and Technology , Xidian University, 710071, Xi’an, China

    Yuping Wang

  2. Department of Computer Science , Hong Kong Baptist University, Hong Kong, China

    Yiu-ming Cheung

  3. Faculty of Applied Mathematics , Guangdong University of Technology, 5100006, Guangzhou, China

    Hailin Liu

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© 2007 Springer-Verlag Berlin Heidelberg

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Cite this paper

Cho, KS., Kim, YG., Lee, YB. (2007). Real-Time Expression Recognition System Using Active Appearance Model and EFM. In: Wang, Y., Cheung, Ym., Liu, H. (eds) Computational Intelligence and Security. CIS 2006. Lecture Notes in Computer Science(), vol 4456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74377-4_113

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  • DOI: https://doi.org/10.1007/978-3-540-74377-4_113

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74376-7

  • Online ISBN: 978-3-540-74377-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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