Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1931
DC FieldValueLanguage
dc.contributor.authorEdwards, Gareth J.-
dc.contributor.authorTaylor, Chris J.-
dc.contributor.authorCootes, Timothy F.-
dc.contributor.authorLanitis, Andreas-
dc.contributor.otherΛανίτης, Ανδρέας-
dc.date.accessioned2009-05-28T12:27:35Zen
dc.date.accessioned2013-05-16T13:11:01Z-
dc.date.accessioned2015-12-02T09:40:28Z-
dc.date.available2009-05-28T12:27:35Zen
dc.date.available2013-05-16T13:11:01Z-
dc.date.available2015-12-02T09:40:28Z-
dc.date.issued1998-03-
dc.identifier.citationImage and Vision Computing, 1998, vol. 16, no. 3, pp. 203-211en_US
dc.identifier.issn2628856-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1931-
dc.description.abstractModel-based approaches to the interpretation of face images have proved very successful. We have previously described statistically based models of face shape and grey-level appearance and shown how they can be used to perform various coding and interpretation tasks. In the paper we describe improved methods of modelling which couple shape and grey-level information more directly than our existing methods, isolate the changes in appearance due to different sources of variability (person, expression, pose, lighting) and deal with non-linear shape variation. We show that the new methods are better suited to interpretation and tracking tasks.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofImage and Vision Computingen_US
dc.rights© Elsevieren_US
dc.subjectFace image interpretationen_US
dc.subjectModel-based approachen_US
dc.titleStatistical models of face images--improving specificityen_US
dc.typeArticleen_US
dc.collaborationThe University of Manchesteren_US
dc.journalsHybrid Open Accessen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldEngineering and Technologyen_US
dc.identifier.doi10.1016/S0262-8856(97)00069-3en_US
dc.dept.handle123456789/54en
dc.relation.issue3en_US
dc.relation.volume16en_US
cut.common.academicyear1997-1998en_US
dc.identifier.spage203en_US
dc.identifier.epage211en_US
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.openairetypearticle-
item.languageiso639-1en-
crisitem.journal.journalissn0262-8856-
crisitem.journal.publisherElsevier-
crisitem.author.deptDepartment of Multimedia and Graphic Arts-
crisitem.author.facultyFaculty of Fine and Applied Arts-
crisitem.author.orcid0000-0001-6841-8065-
crisitem.author.parentorgFaculty of Fine and Applied Arts-
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