Modeling and exploiting the spatio-temporal facial action dependencies for robust spontaneous facial expression recognition

Yan Tong, Jixu Chen, Qiang Ji

Abstract: Facial action provides various types of messages for human communications. Recognizing spontaneous facial actions, however, is very challenging due to subtle facial deformation, frequent head movements, and ambiguous and uncertain facial motion measurements. As a result, current research in facial action recognition is limited to posed facial actions and often in frontal view.