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dc.contributor.authorZhao, Sanqiang
dc.contributor.authorGao, Yongsheng
dc.contributor.editorGang Qian (ed)
dc.date.accessioned2017-05-03T14:13:02Z
dc.date.available2017-05-03T14:13:02Z
dc.date.issued2008
dc.date.modified2009-04-27T06:48:33Z
dc.identifier.isbn978-1-4244-1765-0
dc.identifier.issn1522-4880
dc.identifier.refurihttp://www.icip08.org/default.asp
dc.identifier.doi10.1109/ICIP.2008.4712092
dc.identifier.urihttp://hdl.handle.net/10072/22703
dc.description.abstractGabor wavelet related feature extraction and classification is an important topic in image analysis and pattern recognition. Gabor features can be used either holistically or analytically. While holistic approaches involve significant computational complexity, existing analytic approaches require explicit correspondence of predefined feature points for classification. Different from these approaches, this paper presents a new analytic Gabor method for face recognition. The proposed method attaches Gabor features on a set of shape-driven sparse points to describe both geometric and textural information. Neither the number nor the correspondence of these points is needed. A variant of Hausdorff distance is employed to recognize faces. The experiments performed on AR database demonstrated that the proposed algorithm is effective to identify individuals in various circumstances, such as under expression and illumination changes.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent267046 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoen_AU
dc.publisherIEEE
dc.publisher.placeUSA
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofconferencename15th IEEE International Conference on Image Processing (ICIP 2008)
dc.relation.ispartofconferencetitle2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5
dc.relation.ispartofdatefrom2008-10-12
dc.relation.ispartofdateto2008-10-15
dc.relation.ispartoflocationSan Diego, CA
dc.relation.ispartofpagefrom1664
dc.relation.ispartofpageto1667
dc.rights.retentionY
dc.subject.fieldofresearchcode280207
dc.subject.fieldofresearchcode280208
dc.titleSignificant Jet Point for Facial Image Representation and Recognition
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2008 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.
gro.date.issued2008
gro.hasfulltextFull Text
gro.griffith.authorGao, Yongsheng
gro.griffith.authorZhao, Sanqiang


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

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