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dc.contributor.authorZhao, Sanqiang
dc.contributor.authorGao, Yongsheng
dc.contributor.editorMarzuki Khalid
dc.date.accessioned2017-05-03T15:01:16Z
dc.date.available2017-05-03T15:01:16Z
dc.date.issued2009
dc.date.modified2010-10-25T06:57:25Z
dc.identifier.issn13451529
dc.identifier.urihttp://hdl.handle.net/10072/31082
dc.description.abstractPose estimation is an important part in human face recognition because head rotations will significantly affect the recognition accuracy. However, automated and accurate pose determination still remains an unsolved problem in the research community. In this paper, we propose a novel Elastic Energy Model to tackle this problem, which employs statistical energy contributions of a set of feature points on an input face. It can avoid over-trusting selected anchor points, providing a robust solution to the imprecise feature localization problem that is inevitable in practical applications with cluttered backgrounds. As a general configuration, this model can be easily implemented and extended to other non-rigid objects. Its effectiveness and robustness in automated head pose estimation are investigated in our experiments.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent307690 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherBiomedical Fuzzy Systems Association
dc.publisher.placeJapan
dc.publisher.urihttp://www.ijbschs.org/ijbschs-contents/contents.html
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofpagefrom21
dc.relation.ispartofpageto26
dc.relation.ispartofissue1
dc.relation.ispartofjournalBiomedical Soft Computing and Human Sciences
dc.relation.ispartofvolume14
dc.rights.retentionY
dc.subject.fieldofresearchcode280208
dc.subject.fieldofresearchcode280207
dc.titleTowards Robust and Automated Head Pose Estimation: Elastic Energy Model
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2009 Biomedical Fuzzy Systems Association. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.date.issued2009
gro.hasfulltextFull Text
gro.griffith.authorGao, Yongsheng
gro.griffith.authorZhao, Sanqiang


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