Facial expression classification based on MPEG-4 FAPs: The use of evidence and prior knowledge for uncertainty removal

Wallace, M; Raouzaiou, A; Tsapatsoulis, N; Kollias, S

dc.contributor.author	Wallace, M	en
dc.contributor.author	Raouzaiou, A	en
dc.contributor.author	Tsapatsoulis, N	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:42:46Z
dc.date.available	2014-03-01T02:42:46Z
dc.date.issued	2004	en
dc.identifier.issn	10987584	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31072
dc.subject	Evidence Theory	en
dc.subject	Expression Analysis	en
dc.subject	Facial Expression	en
dc.subject	Measurement Uncertainty	en
dc.subject	Prior Knowledge	en
dc.subject	Low Resolution	en
dc.subject.other	Facial features	en
dc.subject.other	Feature points (FP)	en
dc.subject.other	Neurofuzzy system	en
dc.subject.other	Video sequences	en
dc.subject.other	Approximation theory	en
dc.subject.other	Estimation	en
dc.subject.other	Feature extraction	en
dc.subject.other	Fuzzy sets	en
dc.subject.other	Linguistics	en
dc.subject.other	Mathematical models	en
dc.subject.other	Neural networks	en
dc.subject.other	Video conferencing	en
dc.subject.other	Face recognition	en
dc.title	Facial expression classification based on MPEG-4 FAPs: The use of evidence and prior knowledge for uncertainty removal	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/FUZZY.2004.1375686	en
heal.identifier.secondary	http://dx.doi.org/10.1109/FUZZY.2004.1375686	en
heal.publicationDate	2004	en
heal.abstract	As low resolution shots, rotations of the head with respect to the camera, face deformation due to speech and so on inflict a great deal of uncertainty in FAP measurements, uncertainty is also inherent in the process of expression analysis. In this paper we tackle such uncertainty via the observation that user emotions do not typically alter rapidly very often. Thus, possibilistic evidence may be gathered from each frame about the user expression; evidence from the current and recent frames can be combined using evidence theory.	en
heal.journalName	IEEE International Conference on Fuzzy Systems	en
dc.identifier.doi	10.1109/FUZZY.2004.1375686	en
dc.identifier.volume	1	en
dc.identifier.spage	51	en
dc.identifier.epage	54	en