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2000
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Recognizing Upper Face Action Units for Facial Expression Analysis

10 years 4 months ago
Recognizing Upper Face Action Units for Facial Expression Analysis
We develop an automatic system to analyze subtle changes in upper face expressions based on both permanent facial features (brows, eyes, mouth)andtransient facial features (deepening of facial furrows) in a nearly frontal image sequence. Our system recognizes fine-grained changes in facial expression based on Facial Action Coding System (FACS) action units (AUs). Multi-state facial component models are proposed for tracking and modeling different facial features, including eyes, brows, cheeks, and furrows. Then we convert the results of tracking to detailed parametric descriptions of the facial features. These feature parameters are fed to a neural network which recognizes 7 upper face action units. A recognition rate of 95% is obtained for the test data that include both single action units and AU combinations.
Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2000
Where CVPR
Authors Ying-li Tian, Takeo Kanade, Jeffrey F. Cohn
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