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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