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dc.contributor.authorHajati, Farshiden_US
dc.contributor.authorA. Raie, Abolghasemen_US
dc.contributor.authorGao, Yongshengen_US
dc.date.accessioned2017-04-24T11:28:16Z
dc.date.available2017-04-24T11:28:16Z
dc.date.issued2012en_US
dc.date.modified2012-09-14T01:27:18Z
dc.identifier.issn0031-3203en_US
dc.identifier.doi10.1016/j.patcog.2011.08.025en_US
dc.identifier.urihttp://hdl.handle.net/10072/46781
dc.description.abstractIn this paper, we propose a novel Patch Geodesic Distance (PGD) to transform the texture map of an object through its shape data for robust 2.5D object recognition. Local geodesic paths within patches and global geodesic paths for patches are combined in a coarse to fine hierarchical computation of PGD for each surface point to tackle the missing data problem in 2.5D images. Shape adjusted texture patches are encoded into local patterns for similarity measurement between two 2.5D images with different viewing angles and/or shape deformations. An extensive experimental investigation is conducted on 2.5 face images using the publicly available BU-3DFE and Bosphorus databases covering face recognition under expression and pose changes. The performance of the proposed method is compared with that of three benchmark approaches. The experimental results demonstrate that the proposed method provides a very encouraging new solution for 2.5D object recognition.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.publisherElsevieren_US
dc.publisher.placeUnited Kingdomen_US
dc.relation.ispartofstudentpublicationYen_US
dc.relation.ispartofpagefrom969en_US
dc.relation.ispartofpageto982en_US
dc.relation.ispartofissue3en_US
dc.relation.ispartofjournalPattern Recognitionen_US
dc.relation.ispartofvolume45en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchPattern Recognition and Data Miningen_US
dc.subject.fieldofresearchComputer Visionen_US
dc.subject.fieldofresearchcode080109en_US
dc.subject.fieldofresearchcode080104en_US
dc.title2.5D Face Recognition Using Patch Geodesic Momentsen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2012
gro.hasfulltextNo Full Text


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