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dc.contributor.authorGao, Yongshengen_US
dc.contributor.editorKostas Daniilidis, Petros Maragos, Nikos Paragiosen_US
dc.date.accessioned2017-04-04T17:13:42Z
dc.date.available2017-04-04T17:13:42Z
dc.date.issued2010en_US
dc.date.modified2011-03-04T07:02:54Z
dc.identifier.refurihttp://www.ics.forth.gr/eccv2010/intro.phpen_AU
dc.identifier.doi10.1007/978-3-642-15558-1_36en_AU
dc.identifier.urihttp://hdl.handle.net/10072/36787
dc.description.abstractAutomatically recognizing human faces with partial occlusions is one of the most challenging problems in face analysis community. This paper presents a novel string-based face recognition approach to address the partial occlusion problem in face recognition. In this approach, a new face representation, Stringface, is constructed to integrate the relational organization of intermediate-level features (line segments) into a high-level global structure (string). The matching of two faces is done by matching two Stringfaces through a string-to-string matching scheme, which is able to efficiently find the most discriminative local parts (substrings) for recognition without making any assumption on the distributions of the deformed facial regions. The proposed approach is compared against the state-of-the-art algorithms using both the AR database and FRGC (Face Recognition Grand Challenge) ver2.0 database. Very encouraging experimental results demonstrate, for the first time, the feasibility and effectiveness of a high-level syntactic method in face recognition, showing a new strategy for face representation and recognition.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringeren_US
dc.publisher.placeGermanyen_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencename11th European Conference on Computer Vision (ECCV 2010)en_US
dc.relation.ispartofconferencetitleComputer Vision -- ECCV 2010 Proceedings, Part 3en_US
dc.relation.ispartofdatefrom2010-09-05en_US
dc.relation.ispartofdateto2010-09-11en_US
dc.relation.ispartoflocationHeraklion, Crete, Greeceen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280207en_US
dc.subject.fieldofresearchcode280208en_US
dc.titleRecognizing Partially Occluded Faces from aSingle Sample Per Class Using String-BasedMatchingen_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.date.issued2010
gro.hasfulltextNo Full Text


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

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