TY  - CONF
AU  - Bogdan Raducanu
AU  - Fadi Dornaika
A2  - ISVC
PY  - 2009//
TI  - Natural Facial Expression Recognition Using Dynamic and Static Schemes
T2  - LNCS
BT  - 5th International Symposium on  Visual  Computing
SP  - 730–739
VL  - 5875
PB  - Springer Berlin Heidelberg
N2  - Affective computing is at the core of a new paradigm in HCI and AI represented by human-centered computing. Within this paradigm, it is expected that machines will be enabled with perceiving capabilities, making them aware about users’ affective state. The current paper addresses the problem of facial expression recognition from monocular videos sequences. We propose a dynamic facial expression recognition scheme, which is proven to be very efficient. Furthermore, it is conveniently compared with several static-based systems adopting different magnitude of facial expression. We provide evaluations of performance using Linear Discriminant Analysis (LDA), Non parametric Discriminant Analysis (NDA), and Support Vector Machines (SVM). We also provide performance evaluations using arbitrary test video sequences.
SN  - 0302-9743
SN  - 978-3-642-10330-8
UR  - http://dx.doi.org/10.1007/978-3-642-10331-5_68
N1  - OR;MV
ID  - Bogdan Raducanu2009
ER  -