Toplam kayıt 4, listelenen: 1-4

  • Anatomy based Features for Facial Expression Recognition 

    Benli, Kristin Surpuhi; Eskil, Mustafa Taner (IEEE, 2014-04-23)
    In this study we propose a set of anatomy based features for facial expression recognition. The muscle forces that constitute an expression are solved by tracking carefully selected facial feature points. These points are ...
  • Extraction and selection of muscle based features for facial expression recognition 

    Benli, Kristin Surpuhi; Eskil, Mustafa Taner (IEEE Computer Soc, 2014-08-24)
    In this study we propose a new set of muscle activity based features for facial expression recognition. We extract muscular activities by observing the displacements of facial feature points in an expression video. The ...
  • Facial expression recognition based on anatomy 

    Eskil, Mustafa Taner; Benli, Kristin Surpuhi (Academic Press INC Elsevier Science, 2014-02)
    In this study, we propose a novel approach to facial expression recognition that capitalizes on the anatomical structure of the human face. We model human face with a high-polygon wireframe model that embeds all major ...
  • Semi-automatic adaptation of high-polygon wireframe face models through inverse perspective projection 

    Benli, Kristin Surpuhi; Ağdoğan, Didem; Özgüz, Mete; Eskİl, Mustafa Taner (Springer-Verlag, 2011-09-26)
    Precise registration of a generic 3D face model with a subject's face is a critical stage for model based analysis of facial expressions. In this study we propose a semi-automatic model fitting algorithm to fit a high-polygon ...