Show simple item record

dc.contributor.authorChen, Weiping
dc.contributor.authorGao, Yongsheng
dc.contributor.editorDaniilidis, K
dc.contributor.editorMaragos, P
dc.contributor.editorParagios, N
dc.date.accessioned2017-05-03T13:11:10Z
dc.date.available2017-05-03T13:11:10Z
dc.date.issued2010
dc.date.modified2011-03-04T07:02:54Z
dc.identifier.isbn978-3-642-15557-4
dc.identifier.issn0302-9743
dc.identifier.refurihttp://www.ics.forth.gr/eccv2010/intro.php
dc.identifier.doi10.1007/978-3-642-15558-1_36
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSpringer
dc.publisher.placeGermany
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename11th European Conference on Computer Vision
dc.relation.ispartofconferencetitleCOMPUTER VISION-ECCV 2010, PT III
dc.relation.ispartofdatefrom2010-09-05
dc.relation.ispartofdateto2010-09-11
dc.relation.ispartoflocationHeraklion, GREECE
dc.relation.ispartofpagefrom496
dc.relation.ispartofpageto509
dc.relation.ispartofissuePART 3
dc.relation.ispartofvolume6313
dc.rights.retentionY
dc.subject.fieldofresearchcode280207
dc.subject.fieldofresearchcode280208
dc.titleRecognizing Partially Occluded Faces from a Single Sample Per Class Using String-Based Matching
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.date.issued2010
gro.hasfulltextNo Full Text
gro.griffith.authorChen, Luke
gro.griffith.authorGao, Yongsheng


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

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

Show simple item record