@Inbook{FadiDornaika2015,
author="Fadi Dornaika
and Bogdan Raducanu
and Alireza Bosaghzadeh",
editor="Bruce Flores",
chapter="Facial expression recognition based on multi observations with application to social robotics",
title="Emotional and Facial Expressions: Recognition, Developmental Differences and Social Importance",
year="2015",
publisher="Nova Science publishers",
pages="153--166",
abstract="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.",
optnote="LAMP;",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2720), last updated on Mon, 15 Jul 2024 11:52:29 +0200"
}