Carnegie Mellon University
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AAM Derived Face Representations for Robust Facial Action Recognition

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journal contribution
posted on 2006-01-01, 00:00 authored by Simon Lucey, Iain Matthews, Changbo Hu, Zara Ambadar, Fernando De la Torre, Jeffrey Cohn
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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