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dc.contributor.authorGao, Y
dc.contributor.authorLeung, MKH
dc.contributor.authorWang, W
dc.contributor.authorHui, SC
dc.date.accessioned2006-06-11
dc.date.accessioned2014-06-23T03:57:28Z
dc.date.accessioned2017-03-02T01:01:16Z
dc.date.available2017-03-02T01:01:16Z
dc.date.issued2001
dc.date.modified2014-06-23T03:57:28Z
dc.identifier.issn1350-245X
dc.identifier.doi10.1049/ip-vis:20010377
dc.identifier.urihttp://hdl.handle.net/10072/60759
dc.description.abstractOne of the key remaining problems in face recognition is that of handling the variability in appearance due to changes in pose. The authors present a simple and computationally efficient 3-D pose recovery methodology. It addresses the computationally expensive problem of current generic 3-D model pose recovery methods and thus is able to be used in real-time applications. Compared with the virtual view methods, the face identification system with the proposed pose recovery method demands much less storage space as it transforms the 2-D rotated face to the 2-D fronto-parallel view for subsequent identification rather than generating multiple virtual views for a single input face. Experiments evaluating the effectiveness of the technique are reported. The systems are compared with human performances and existing techniques
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.publisherThe Institution of Electrical Engineers
dc.publisher.placeUK
dc.publisher.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=955432
dc.relation.ispartofpagefrom248
dc.relation.ispartofpageto253
dc.relation.ispartofissue4
dc.relation.ispartofjournalIEE Proceedings-Vision, Image and Signal Processing
dc.relation.ispartofvolume148
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchCognitive Sciences
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode0906
dc.subject.fieldofresearchcode1702
dc.titleFast Face Identification under Varying Pose from a Single 2-D Model View
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codec1x
gro.facultyFaculty of Engineering and Information Technology
gro.hasfulltextNo Full Text
gro.griffith.authorGao, Yongsheng


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