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dc.contributor.authorZhao, S
dc.contributor.authorZhang, X
dc.contributor.authorGao, Y
dc.contributor.editorIAPR
dc.date.accessioned2017-05-03T15:01:13Z
dc.date.available2017-05-03T15:01:13Z
dc.date.issued2008
dc.date.modified2009-05-12T06:41:23Z
dc.identifier.isbn9781424421756
dc.identifier.issn1051-4651
dc.identifier.doi10.1109/ICPR.2008.4761430
dc.identifier.urihttp://hdl.handle.net/10072/22905
dc.description.abstractThis study focuses on a recent paper "100% Accuracy in Automatic Face Recognition" published on Science, in which an "Average Face" is proposed and claimed to be capable of dramatically improving performance of a face recognition system. To reveal its working mechanism, we perform the averaging process using pose-varied synthetic images generated from 3D face database and conduct a comparative study to observe its effectiveness on holistic and local face recognition approaches. Two representative methods, i.e. Eigenface and Local Binary Pattern (LBP) are employed to perform the experiments. It is interesting to find from our experiments that the performance of the "Average Face" is not independent of the face recognition approaches. Although face averaging increases the recognition accuracy of Eigenface method, it impairs the performance of LBP method.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent565358 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.publisher.placeLos Alamitos, California, USA
dc.publisher.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=4740202
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofconferencenameThe 19th International Conference on Pattern Recognition (ICPR)
dc.relation.ispartofconferencetitleProceedings - International Conference on Pattern Recognition
dc.relation.ispartofdatefrom2008-12-08
dc.relation.ispartofdateto2008-12-11
dc.relation.ispartoflocationTampa, Florida, USA
dc.rights.retentionY
dc.subject.fieldofresearchcode280208
dc.subject.fieldofresearchcode280207
dc.titleA Comparative Evaluation of Average Face on Holistic and Local Face Recognition Approaches
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
gro.date.issued2008
gro.hasfulltextFull Text
gro.griffith.authorGao, Yongsheng


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    Contains papers delivered by Griffith authors at national and international conferences.

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