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Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06)   pp. 155-162
AAM Derived Face Representations for Robust Facial Action Recognition
Simon Lucey, Carnegie Mellon University
Iain Matthews, Carnegie Mellon University
Changbo Hu, Carnegie Mellon University
Zara Ambadar, Carnegie Mellon University
Fernando de la Torre, Carnegie Mellon University
Jeffrey Cohn, Carnegie Mellon University

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FGR.2006.17
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Abstract
In this paper, we present results on experiments employing Active Appearance Model (AAM) derived facial representations, for the task of facial action recognition. Experimental results demonstrate the benefit of AAM-derived representations on a spontaneous AU database containing "real-world" variation. Additionally, we explore a number of normalization methods for these representations which increase facial action recognition performance.
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Citation:  Simon Lucey, Iain Matthews, Changbo Hu, Zara Ambadar, Fernando de la Torre, Jeffrey Cohn, "AAM Derived Face Representations for Robust Facial Action Recognition," fg, pp. 155-162,  Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06),  2006