Facial expression recognition using fuzzy kernel discriminant analysis

  • Authors:
  • Qingjiang Wu;Xiaoyan Zhou;Wenming Zheng

  • Affiliations:
  • Department of Computer Science, Huaqiao University, Quanzhou, China;Research Center for Learning Science, Southeast University, Nanjing, China;Research Center for Learning Science, Southeast University, Nanjing, China

  • Venue:
  • FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
  • Year:
  • 2006

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Abstract

In this paper, we address the facial expression recognition task using fuzzy kernel discriminant analysis (Fuzzy KDA) method. The Fuzzy KDA method improves the performance of kernel discriminant analysis (KDA) by considering the class membership of each training sample. We conduct the facial expression recognition on two well-known facial expression databases to demonstrate the better performance of the proposed method.