Pattern Recognition and Image Analysis

, Volume 18, Issue 3, pp 447–452 | Cite as

Facial expression recognition based on Haar-like feature detection

  • A. Panning
  • A. K. Al-Hamadi
  • R. Niese
  • B. Michaelis
Application Problems

Abstract

In this paper we propose a novel approach for facial feature detection in color image sequences using Haar-like classifiers. The feature extraction is initialized without manual input and has the capability to fulfill the real time requirement. For facial expression recognition, we use geometrical measurement and simple texture analysis in detecting facial regions based on the prior detected facial feature points. For expression classification we used a three layer feed forward artificial neural network. The efficiency of the suggested approach is demonstrated under real world conditions.

Keywords

Facial Expression Facial Feature Facial Expression Recognition Facial Action Code System Facial Feature Point 
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

© Pleiades Publishing, Ltd. 2008

Authors and Affiliations

  • A. Panning
    • 1
  • A. K. Al-Hamadi
    • 1
  • R. Niese
    • 1
  • B. Michaelis
    • 1
  1. 1.Institute for Electronics, Signal Processing and CommunicationsOtto-von-Guericke-University MagdeburgMagdeburgGermany

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