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  1 - Facial Expression Recognition Using Texture Description of Displacement Image
  Hamid Sadeghi Abolghasem Asadollah Raie Mohammad Reza Mohammadi
  10.7508/jist.2014.04.002
  In recent years, facial expression recognition, as an interesting problem in computer vision has been performed by means of static and dynamic methods. Dynamic information plays an important role in recognizing facial expression. However, using the entire dynamic inform More

  In recent years, facial expression recognition, as an interesting problem in computer vision has been performed by means of static and dynamic methods. Dynamic information plays an important role in recognizing facial expression. However, using the entire dynamic information in the expression image sequences is of higher computational cost compared to the static methods. To reduce the computational cost, instead of entire image sequence, only neutral and emotional faces can be employed. In the previous research, this idea was used by means of DLBPHS method in which facial important small displacements were vanished by subtracting LBP features of neutral and emotional face images. In this paper, a novel approach is proposed to utilize two face images. In the proposed method, the face component displacements are highlighted by subtracting neutral image from emotional image; then, LBP features are extracted from the difference image. The proposed method is evaluated on standard databases and the results show a significant accuracy improvement compared to DLBPHS. Manuscript profile