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dc.contributor.authorKao, JHen_US
dc.contributor.authorChen, YHen_US
dc.contributor.authorChuang, JHen_US
dc.date.accessioned2014-12-08T15:18:51Z-
dc.date.available2014-12-08T15:18:51Z-
dc.date.issued2005-07-01en_US
dc.identifier.issn0167-8655en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.patrec.2004.11.008en_US
dc.identifier.urihttp://hdl.handle.net/11536/13558-
dc.description.abstractIdentity verification is one of the critical issues in the sector of security and has been emerging as an active research area. In recent years, technologies using biological features to address problems of identity verification have attracted numerous research interests. For examples, fingerprint recognition, voice recognition and pattern of blood vessels in the retina have spanned many commercial applications. However, special and expensive equipments such as fingerprint readers and iris scanners are often required and people have to be in unpleasant poses occasionally. This paper presents a study on computer vision technique and its application in face recognition to achieve identity verification. With multiple facial images taken from different view angles, relative affine structures are computed and are used as measurements. To that end, the explicit relationship between relative affine structure and the cross ratio which is a view-invariant under perspective projection is also addressed. The proposed method neither requires camera calibration nor reconstructs 3D models. According to simulation results, the developed approach can achieve satisfactory results given the feature points of facial images. © 2004 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectidentity verificationen_US
dc.subjectrelative affine structureen_US
dc.subjectcross ratioen_US
dc.subjectperspective projectionen_US
dc.titleIdentity verification by relative 3-D structure using multiple facial imagesen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.patrec.2004.11.008en_US
dc.identifier.journalPATTERN RECOGNITION LETTERSen_US
dc.citation.volume26en_US
dc.citation.issue9en_US
dc.citation.spage1292en_US
dc.citation.epage1303en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000229561900008-
dc.citation.woscount0-
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