Abstract

An approach for analysis and representation of facial dynamics for recognition of facial expressions from image sequences is proposed. The algorithms we develop utilize optical flow computation to identify the direction of rigid and non-rigid motions that are caused by human facial expressions. A mid-level symbolic representation that is motivated by linguistic and psychological considerations is developed. Recognition of six facial expressions, as well as eye blinking, on a large set of image sequences is reported. 1 Introduction Human visual communication has been extensively studied in the social and psychology literature, mainly as a means to describe the emotional state of the subject [3,5,11,15]. Research in psychology has indicated that at least six emotions are universally associated with distinct facial expressions. Several other emotions, and many combinations of emotions, have been studied but remain unconfirmed as universally distinguishable. The six principle emotions are...

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