Recognition of facial expressions by cortical multi-scale line and edge coding

Authors:
R. J. R. de Sousa;J. M. F. Rodrigues;J. M. H. du Buf
Affiliations:
Vision Laboratory, Institute for Systems and Robotics (ISR/IST), University of the Algarve (ISE and FCT), Faro, Portugal;Vision Laboratory, Institute for Systems and Robotics (ISR/IST), University of the Algarve (ISE and FCT), Faro, Portugal;Vision Laboratory, Institute for Systems and Robotics (ISR/IST), University of the Algarve (ISE and FCT), Faro, Portugal
Venue:
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Year:
2010

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Abstract

Face-to-face communications between humans involve emotions, which often are unconsciously conveyed by facial expressions and body gestures. Intelligent human-machine interfaces, for example in cognitive robotics, need to recognize emotions. This paper addresses facial expressions and their neural correlates on the basis of a model of the visual cortex: the multi-scale line and edge coding. The recognition model links the cortical representation with Paul Ekman's Action Units which are related to the different facial muscles. The model applies a top-down categorization with trends and magnitudes of displacements of the mouth and eyebrows based on expected displacements relative to a neutral expression. The happy vs. not-happy categorization yielded a correct recognition rate of 91%, whereas final recognition of the six expressions happy, anger, disgust, fear, sadness and surprise resulted in a rate of 78%.