Facial Action Recognition for Facial Expression Analysis from Static Face Images

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Title: Facial Action Recognition for Facial Expression Analysis from Static Face Images
Author(s): Pantic, M
Rothkrantz, L
Item Type: Journal Article
Abstract: Automatic recognition of facial gestures (i.e., facial muscle activity) is rapidly becoming an area of intense interest in the research field of machine vision. In this paper, we present an automated system that we developed to recognize facial gestures in static, frontal- and/or profile-view color face images. A multidetector approach to facial feature localization is utilized to spatially sample the profile contour and the contours of the facial components such as the eyes and the mouth. From the extracted contours of the facial features, we extract ten profile-contour fiducial points and 19 fiducial points of the contours of the facial components. Based on these, 32 individual facial muscle actions (AUs) occurring alone or in combination are recognized using rule-based reasoning. With each scored AU, the utilized algorithm associates a factor denoting the certainty with which the pertinent AU has been scored. A recognition rate of 86% is achieved.
Publication Date: 30-Jun-2004
Citation: IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics Vol.( 34 ) No.( 3 ) pp 1449 - 1461
URI: http://hdl.handle.net/10044/1/5735
Publisher Link: http://dx.doi.org/10.1109/TSMCB.2004.825931
ISSN: 1083-4419
Publisher: IEEE
Start Page: 1449
End Page: 1461
Copyright Statement: © 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Volume: 34
Appears in Collections:Visual Information Processing

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