AAM Derived Face Representations for Robust Facial Action Recognition

University of Southampton,UK April 10-April 12

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http://doi.ieeecomputersociety.org/10.1109/FGR.2006.17

Seventh IEEE International Conference ...

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	ASCII Text	x
	Simon Lucey, Iain Matthews, Changbo Hu, Zara Ambadar, Fernando de la Torre, Jeffrey Cohn, "AAM Derived Face Representations for Robust Facial Action Recognition," Automatic Face and Gesture Recognition, IEEE International Conference on, pp. 155-162, Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06), 2006.

	BibTex	x
	@article{ 10.1109/FGR.2006.17, author = {Simon Lucey and Iain Matthews and Changbo Hu and Zara Ambadar and Fernando de la Torre and Jeffrey Cohn}, title = {AAM Derived Face Representations for Robust Facial Action Recognition}, journal ={Automatic Face and Gesture Recognition, IEEE International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2503-2}, pages = {155-162}, doi = {http://doi.ieeecomputersociety.org/10.1109/FGR.2006.17}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Automatic Face and Gesture Recognition, IEEE International Conference on TI - AAM Derived Face Representations for Robust Facial Action Recognition SN - 0-7695-2503-2 SP155 EP162 A1 - Simon Lucey, A1 - Iain Matthews, A1 - Changbo Hu, A1 - Zara Ambadar, A1 - Fernando de la Torre, A1 - Jeffrey Cohn, PY - 2006 KW - null VL - 0 JA - Automatic Face and Gesture Recognition, IEEE International Conference on ER -

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

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.

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

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