TY  - JOUR
AU  - Bogdan Raducanu
AU  - Fadi Dornaika
PY  - 2013//
TI  - Texture-independent recognition of facial expressions in image snapshots and videos
T2  - MVA
JO  - Machine Vision and Applications
SP  - 811
EP  - 820
VL  - 24
IS  - 4
PB  - Springer-Verlag
N2  - 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.
SN  - 0932-8092
L1  - http://refbase.cvc.uab.es/files/RaD2013a.pdf
UR  - http://dx.doi.org/10.1007/s00138-012-0447-z
N1  - OR; 600.046; 605.203;MV
ID  - Bogdan Raducanu2013
ER  -