1. Ktisis Cyprus University of Technology
  2. Cyprus University of Technology (Research Output)
  3. Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/29291
DC FieldValueLanguage
dc.contributor.authorEdwards, G.J.-
dc.contributor.authorLanitis, Andreas-
dc.contributor.authorTaylor, Chris J.-
dc.contributor.authorCootes, Timothy F.-
dc.date.accessioned2023-06-13T10:17:58Z-
dc.date.available2023-06-13T10:17:58Z-
dc.date.issued1996-10-14-
dc.identifier.citationProceedings of the Second International Conference on Automatic Face and Gesture Recognition, 1996, Killington, USA, p.p.328-333en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14279/29291-
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 nonlinear shape variation. We show that the new methods are better suited to interpretation and tracking tasks.en_US
dc.language.isoenen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectShapeen_US
dc.subjectDeformable modelsen_US
dc.subjectImage codingen_US
dc.subjectBiomedical imagingen_US
dc.subjectBiophysicsen_US
dc.subjectOptical couplingen_US
dc.subjectAnatomical structureen_US
dc.subjectImage generationen_US
dc.subjectStatistical analysisen_US
dc.subjectImage reconstructionen_US
dc.titleModelling the variability in face imagesen_US
dc.typeConference Papersen_US
dc.collaborationThe University of Manchesteren_US
dc.subject.categoryComputer and Information Sciencesen_US
dc.subject.categoryBiological Sciencesen_US
dc.subject.categoryDesignen_US
dc.countryUnited Kingdomen_US
dc.subject.fieldNatural Sciencesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.relation.conferenceSecond International Conference on Automatic Face and Gesture Recognitionen_US
dc.identifier.doi10.1109/AFGR.1996.557286en_US
dc.identifier.scopus2-s2.0-0030405583en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/0030405583en
cut.common.academicyear1996-1997en_US
dc.identifier.external0030405583en
dc.identifier.spage328en_US
dc.identifier.epage333en_US
item.languageiso639-1en-
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeconferenceObject-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
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-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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