Evaluating AAM fitting methods for facial expression recognition

  title={Evaluating AAM fitting methods for facial expression recognition},
  author={Akshay Asthana and Jason M. Saragih and Michael Wagner and Roland Goecke},
  journal={2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops},
The human face is a rich source of information for the viewer and facial expressions are a major component in judging a person's affective state, intention and personality. Facial expressions are an important part of human-human interaction and have the potential to play an equally important part in human-computer interaction. This paper evaluates various Active Appearance Model (AAM) fitting methods, including both the original formulation as well as several state-of-the-art methods, for the… CONTINUE READING
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