Confidence-based fusion of multiple feature cues for facial expression recognition

Ioannou, S; Wallace, M; Karpouzis, K; Raouzaiou, A; Kollias, S

dc.contributor.author	Ioannou, S	en
dc.contributor.author	Wallace, M	en
dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Raouzaiou, A	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:43:11Z
dc.date.available	2014-03-01T02:43:11Z
dc.date.issued	2005	en
dc.identifier.issn	10987584	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31277
dc.subject	Confidence	en
dc.subject	Facial feature extraction	en
dc.subject	Human computer interaction	en
dc.subject	Multiple cue fusion	en
dc.subject.other	Feature extraction	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Human computer interaction	en
dc.subject.other	Image analysis	en
dc.subject.other	Video signal processing	en
dc.subject.other	Confidence	en
dc.subject.other	Facial expressions	en
dc.subject.other	Facial feature extraction	en
dc.subject.other	Multiple cue fusion	en
dc.subject.other	Face recognition	en
dc.title	Confidence-based fusion of multiple feature cues for facial expression recognition	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/FUZZY.2005.1452394	en
heal.identifier.secondary	http://dx.doi.org/10.1109/FUZZY.2005.1452394	en
heal.publicationDate	2005	en
heal.abstract	Since facial expressions are a key modality in human communication, the automated analysis of facial images for the estimation of the displayed expression is essential in the design of intuitive and accessible human computer interaction systems. In most existing rule-based expression recognition approaches, analysis is semi-automatic or requires high quality video. In this paper we propose a feature extraction system which combines analysis from multiple channels based on their confidence, to result in better facial feature boundary detection. The facial features are then used for expression estimation. The proposed approach has been implemented as an extension to an existing expression analysis system in the framework of the IST ERMIS project. © 2005 IEEE.	en
heal.journalName	IEEE International Conference on Fuzzy Systems	en
dc.identifier.doi	10.1109/FUZZY.2005.1452394	en
dc.identifier.spage	207	en
dc.identifier.epage	212	en