Efficient rectangle feature extraction for real-time facial expression recognition based on AdaBoost

@article{Jung2005EfficientRF,
  title={Efficient rectangle feature extraction for real-time facial expression recognition based on AdaBoost},
  author={Sung-Uk Jung and Do Hyoung Kim and Kwang Ho An and Myung Jin Chung},
  journal={2005 IEEE/RSJ International Conference on Intelligent Robots and Systems},
  year={2005},
  pages={1941-1946}
}
In this paper, we propose a method of selecting new types of rectangle features that are suitable for facial expression recognition. The basic concept in this paper is similar to Violar's approach, which is used for face detection. Instead of previous Haar-like rectangle features, we choose rectangle features for facial expression recognition among all possible rectangle types in a 3/spl times/3 matrix form using the AdaBoost algorithm. Also, the facial expression recognition system constituted… CONTINUE READING
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