An efficient facial expression detection system

  • Authors:

  • Pushpita Nomani Tumpi;Wahid Raihanur Rahman;Md. Haider Ali

  • Affiliations:

  • Department of Computer Science and Engineering, University of Dhaka, Dhaka, Bangladesh;Department of Computer Science and Engineering, University of Dhaka, Dhaka, Bangladesh;Department of Computer Science and Engineering, University of Dhaka, Dhaka, Bangladesh

  • Venue:
  • Machine Graphics & Vision International Journal
  • Year:
  • 2007

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Abstract

In this paper we present an effective and robust approach for detecting a Bangladeshi facial expression in a 2D image. The facial expression is one of the most powerful, natural and immediate means for human beings to communicate their emotions and intentions. Most of the existing works on expression analysis have been focused on the facial expressions of European and American people, but these basic expressions vary subtly with races all over the world. We have tried to explore this diversity and to automate the facial expression detection for people of the Indian sub-continent, especially Bangladeshi people. Consequently, we have recommended a modified set of AUs (Action Units) defined in the FACS (the Facial Action Coding System), which is the leading standard for measuring facial expressions in the behavioral sciences. In this work, we propose a method to combine feature detection and extraction and facial expression detection into an integrated system. The main aspect of our system is that it covers all the criteria essential for detecting the facial expression of the people inhabiting sub-continent especially Bangladeshi people. Though the system concentrates on a particular race, it is also successful to a great extent with other races in the world, which proves its flexibility and robustness.