TY  - CONF
AU  - Bogdan Raducanu
AU  - Fadi Dornaika
A2  - ICRA
PY  - 2010//
TI  - Dynamic Facial Expression Recognition Using Laplacian Eigenmaps-Based Manifold Learning
BT  - IEEE International Conference on Robotics and Automation
SP  - 156–161
N2  - In this paper, we propose an integrated framework for tracking, modelling and recognition of facial expressions. The main contributions are: (i) a view- and texture independent scheme that exploits facial action parameters estimated by an appearance-based 3D face tracker; (ii) the complexity of the non-linear facial expression space is modelled through a manifold, whose structure is learned using Laplacian Eigenmaps. The projected facial expressions are afterwards recognized based on Nearest Neighbor classifier; (iii) with the proposed approach, we developed an application for an AIBO robot, in which it mirrors the perceived facial expression.
SN  - 1050-4729
SN  - 978-1-4244-5038-1
UR  - http://dx.doi.org/10.1109/ROBOT.2010.5509290
N1  - OR; MV
ID  - Bogdan Raducanu2010
ER  -