Nearest neighbor weighted average customization for modeling faces

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dc.authorid0000-0001-6282-6703
dc.authorid0000-0003-0298-0690
dc.contributor.authorAbeysundera, Hasith Pasinduen_US
dc.contributor.authorBenli, Kristin Surpuhien_US
dc.contributor.authorEskil, Mustafa Taneren_US
dc.date.accessioned2015-01-15T23:02:16Z
dc.date.available2015-01-15T23:02:16Z
dc.date.issued2013-10
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Computer Engineeringen_US
dc.description.abstractIn this paper, we present an anatomically accurate generic wireframe face model and an efficient customization method for modeling human faces. We use a single 2D image for customization of the generic model. We employ perspective projection to estimate 3D coordinates of the 2D facial landmarks in the image. The non-landmark vertices of the 3D model are shifted using the translations of k nearest landmark vertices, inversely weighted by the square of their distances. We demonstrate on Photoface and Bosphorus 3D face data sets that the proposed method achieves substantially low relative error values with modest time complexity.en_US
dc.description.sponsorshipThis research is part of project "Expression Recognition based on Facial Anatomy", grant number 109E061, supported by The Support Programme for Scientific and Technological Research Projects (1001) of The Scientific and Technological Research Council of Turkey (TUBITAK)en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationAbeysundera, H. P., Benli, K. S. & Eskil, M. T. (2013). Nearest neighbor weighted average customization for modeling faces. Machine Vision and Applications, 24(7), 1525-1537. doi:10.1007/s00138-013-0489-xen_US
dc.identifier.doi10.1007/s00138-013-0489-x
dc.identifier.endpage1537
dc.identifier.issn0932-8092
dc.identifier.issn1432-1769
dc.identifier.issue7
dc.identifier.issueSI
dc.identifier.scopus2-s2.0-84885331037
dc.identifier.scopusqualityQ2
dc.identifier.startpage1525
dc.identifier.urihttps://hdl.handle.net/11729/478
dc.identifier.urihttp://dx.doi.org/10.1007/s00138-013-0489-x
dc.identifier.volume24
dc.identifier.wosWOS:000324499000017
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorAbeysundera, Hasith Pasinduen_US
dc.institutionauthorBenli, Kristin Surpuhien_US
dc.institutionauthorEskil, Mustafa Taneren_US
dc.institutionauthorid0000-0001-6282-6703
dc.institutionauthorid0000-0003-0298-0690
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherSpringeren_US
dc.relation.ispartofMachine Vision and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFace modelingen_US
dc.subjectCustomizationen_US
dc.subjectActive shape modelen_US
dc.subjectPerspective projectionen_US
dc.subjectProcrustes analysisen_US
dc.subjectShape modelsen_US
dc.subject3Den_US
dc.subjectRecognitionen_US
dc.subjectTrackingen_US
dc.subjectRobusten_US
dc.titleNearest neighbor weighted average customization for modeling facesen_US
dc.typeArticleen_US
dspace.entity.typePublication

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