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Continuous Recognition of Human Facial Expressions Using Active Appearance Model

  • Kyoung-Sic Cho
  • Yong-Guk Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4555)

Abstract

Recognizing human facial expressions continuously is useful since it has many potential applications. We have implemented a continuous facial expression recognition system using Active Appearance Model (AAM). AAM has been widely used in face tracking, face recognition, and object recognition tasks. In this study, we adopt an independent AAM using Inverse Compositional Image Alignment method. The evaluation of this system carried out with the standard Cohn-Kanade facial expression database. Result shows that it could useful for many applications.

Keywords

Active Appearance Model (AAM) Facial Expression Recognition Object Tracking Inverse Compositional Alignment Method 

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References

  1. 1.
    Matthews, I., Baker, S.: Active Appearance Models revisited. International Journal of Computer vision, pp. 135–164 (2004)Google Scholar
  2. 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, (June 1998)Google Scholar
  3. 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)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Kyoung-Sic Cho
    • 1
  • Yong-Guk Kim
    • 1
  1. 1.Department of Computer Engineering, Sejong University, SeoulKorea

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