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dc.contributor.authorChen, Weipingen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.editorIEEEen_US
dc.date.accessioned2017-04-24T12:26:35Z
dc.date.available2017-04-24T12:26:35Z
dc.date.issued2010en_US
dc.date.modified2011-04-18T06:56:40Z
dc.identifier.refurihttp://www.icarcv.org/2010/en_AU
dc.identifier.doi10.1109/ICARCV.2010.5707792en_AU
dc.identifier.urihttp://hdl.handle.net/10072/38069
dc.description.abstractFacial profile provides a complementary structure of the face that is not present in frontal faces, which has been used in personal identification, face perception research and 3D face construction. In this paper, we present a novel local attributed string matching (LAStrM) approach to recognize face profiles in the presence of interferences. The conventional profile recognition algorithms heavily depend on the accuracy of the facial area cropping. However, in realistic scenarios the facial area may be difficult to localize due to interferences (e.g., glasses, hairstyles). The proposed approach is able to efficiently find the most discriminative local parts between face profiles addressing the recognition problem with interferences. Experimental results have shown that the proposed matching scheme is robust to interferences compared against several primary approaches using two profile image databases (Bern and FERET). It has potential capability for partially occluded shape classification.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent444317 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeSingaporeen_US
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofconferencenameThe 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010)en_US
dc.relation.ispartofconferencetitle11th International Conference on Control, Automation, Robotics and Vision (ICARCV) 2010 Proceedingsen_US
dc.relation.ispartofdatefrom2010-12-07en_US
dc.relation.ispartofdateto2010-12-10en_US
dc.relation.ispartoflocationSingaporeen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchComputer Visionen_US
dc.subject.fieldofresearchcode080104en_US
dc.titleRecognizing Face Profiles in the Presence of Hairs/glasses Interferencesen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.rights.copyrightCopyright 2010 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.en_AU
gro.date.issued2010
gro.hasfulltextFull Text


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

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