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. Recognizing six facial expressions, as well as eye blinking, are demonstrated on a collection of image sequences. 1 Introduction Visual communication plays a central role in human communication and interaction. This paper explores methods by which a computer can recognize visually communicated facial actions- facial expressions. 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....

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