TY  - CHAP
AU  - Fadi Dornaika
AU  - Bogdan Raducanu
AU  - Alireza Bosaghzadeh
ED  - Bruce Flores
PY  - 2015//
TI  - Facial expression recognition based on multi observations with application to social robotics
BT  - Emotional and Facial Expressions: Recognition, Developmental Differences and Social Importance
SP  - 153
EP  - 166
PB  - Nova Science publishers
N2  - Human-robot interaction is a hot topic nowadays in the social roboticscommunity. One crucial aspect is represented by the affective communicationwhich comes encoded through the facial expressions. In this chapter, we propose a novel approach for facial expression recognition, which exploits an efficient and adaptive graph-based label propagation (semi-supervised mode) in a multi-observation framework. The facial features are extracted using an appearance-based 3D face tracker, viewand texture independent. Our method has been extensively tested on the CMU dataset, and has been conveniently compared with other methods for graph construction. With the proposed approach, we developed an application for an AIBO robot, in which it mirrors the recognized facialexpression.
N1  - OR;MV
ID  - Fadi Dornaika2015
ER  -