%0 Journal Article
%T Texture-independent recognition of facial expressions in image snapshots and videos
%A Bogdan Raducanu
%A Fadi Dornaika
%J Machine Vision and Applications
%D 2013
%V 24
%N 4
%I Springer-Verlag
%@ 0932-8092
%F Bogdan Raducanu2013
%O OR; 600.046; 605.203;MV
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2230), last updated on Thu, 21 Jan 2016 12:36:00 +0100
%X This paper addresses the static and dynamic recognition of basic facial expressions. It has two main contributions. First, we introduce a view- and texture-independent scheme that exploits facial action parameters estimated by an appearance-based 3D face tracker. We represent the learned facial actions associated with different facial expressions by time series. Second, we compare this dynamic scheme with a static one based on analyzing individual snapshots and show that the former performs better than the latter. We provide evaluations of performance using three subspace learning techniques: linear discriminant analysis, non-parametric discriminant analysis and support vector machines.
%U http://refbase.cvc.uab.es/files/RaD2013a.pdf
%U http://dx.doi.org/10.1007/s00138-012-0447-z
%P 811-820