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Facial Expression Recognition Using Active Appearance Model

  • Taehwa Hong
  • Yang-Bok Lee
  • Yong-Guk Kim
  • Hagbae Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)

Abstract

This paper describes a facial expression recognition system based upon Active Appearance Model (AAM), which has been typically used for the face recognition task. Given that AAM has been also used in tracking the moving object, we thought it could be effective in recognizing the facial expressions of humans. Our results show that the performance of the facial expression recognition using AAM is reliably high when it combined with an enhanced Fisher classification model.

Keywords

Facial Expression Face Image Facial Expression Recognition Active Appearance Model British Machine Vision 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Taehwa Hong
    • 1
  • Yang-Bok Lee
    • 2
  • Yong-Guk Kim
    • 2
  • Hagbae Kim
    • 1
  1. 1.Department of Electrical and Electronic EngineeringYonsei UniversitySeoulKorea
  2. 2.School of Computer EngineeringSejong UniversitySeoulKorea

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