On cortex mechanism hierarchy model for facial expression recognition: multi-database evaluation results

Authors:
Ting Zhang;Guosheng Yang;Xinkai Kuai
Affiliations:
Department of Automation, School of Information and Engineering, Minzu University of China, Beijing, China;Department of Automation, School of Information and Engineering, Minzu University of China, Beijing, China;Department of Automation, School of Information and Engineering, Minzu University of China, Beijing, China
Venue:
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Year:
2012

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Abstract

Human facial expressions - a visually explicit manifestation of human emotions - convey a wealth of social signals. They are often considered as the short cut to reveal the psychological consequences and mechanisms underlying the emotional modulation of cognition. However, how to analyze emotional facial expressions from the visual cortical system's viewpoint, thus, how visual system handles facial expression information, remains elusive. As an important paradigm for understanding hierarchical processing in the ventral pathway, we report results by applying a hierarchy cortical model proposed by Poggio et al to analyze facial cues on several facial expression databases, showing that the method is accurate and satisfactory, indicating that the cortical like mechanism for facial expression recognition should be exploited in great consideration.