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dc.contributor.authorBacivarov, Ioanaen
dc.contributor.authorIonita, Mircea C.en
dc.contributor.authorCorcoran, Peteren
dc.date.accessioned2010-10-14T10:11:04Zen
dc.date.available2010-10-14T10:11:04Zen
dc.date.issued2009-02-10en
dc.identifier.citationBacivarov, I., Ionita, M. C., & Corcoran, P. (2008). A combined approach to feature extraction for mouth characterization and tracking. Paper presented at the Signals and Systems Conference, 208. (ISSC 2008). IET Irish.en
dc.identifier.isbn978-0-86341-931-7en
dc.identifier.issn0537-9989en
dc.identifier.urihttp://hdl.handle.net/10379/1341en
dc.description.abstractA statistical Active Appearance Model (AAM) is developed to model and track the lips. A major challenge in modelling the mouth area, considered the most deformable facial feature, is the weak contrast between lips and skin colour. In order to perform accurately, AAM requires a strong initialization point. In our approach, key information is firstly extracted using chrominance analysis. Then optimal parameters of the model are determined using AAM fitting procedure. A detailed description of our model and its corresponding fitting algorithm are given and preliminary results on different databases are summarised.en
dc.formatapplication/pdfen
dc.publisherIEEEen
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Ireland
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/
dc.subjectChromatic analysisen
dc.subjectMouth detectionen
dc.subjectMouth trackingen
dc.subjectStatistical model of appearanceen
dc.subjectElectrical and Electronic Engineeringen
dc.titleA combined approach to feature extraction for mouth characterization and trackingen
dc.typeConference Paperen
dc.local.publishedsourcehttp://www.ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=4780946en
dc.description.peer-reviewedpeer-revieweden
nui.item.downloads1327


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Attribution-NonCommercial-NoDerivs 3.0 Ireland
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Ireland