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dc.contributor.authorGao, YS
dc.contributor.authorLeung, MKH
dc.date.accessioned2017-05-03T14:12:54Z
dc.date.available2017-05-03T14:12:54Z
dc.date.issued2002
dc.date.modified2010-10-12T06:56:55Z
dc.identifier.issn0162-8828
dc.identifier.doi10.1109/TPAMI.2002.1008383
dc.identifier.urihttp://hdl.handle.net/10072/15101
dc.description.abstractThe automatic recognition of human faces presents a significant challenge to the pattern recognition research community. Typically, human faces are very similar in structure with minor differences from person to person. They are actually within one class of "human face". Furthermore, lighting conditions change, while facial expressions and pose variations further complicate the face recognition task as one of the difficult problems in pattern analysis. This paper proposes a novel concept: namely, that faces can be recognized using a line edge map (LEM). The LEM, a compact face feature, is generated for face coding and recognition. A thorough investigation of the proposed concept is conducted which covers all aspects of human face recognition, i.e. face recognition under (1) controlled/ideal conditions and size variations, (2) varying lighting conditions, (3) varying facial expressions, and (4) varying pose. The system performance is also compared with the eigenface method, one of the best face recognition techniques, and with reported experimental results of other methods. A face pre-filtering technique is proposed to speed up the search process. It is a very encouraging to find that the proposed face recognition technique has performed better than the eigenface method in most of the comparison experiments. This research demonstrates that the LEM, together with the proposed generic line-segment Hausdorff distance measure, provides a new method for face coding and recognition.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent722594 bytes
dc.format.extent76803 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglish
dc.language.isoen_AU
dc.publisherIEEE
dc.publisher.placeUSA
dc.relation.ispartofpagefrom764
dc.relation.ispartofpageto779
dc.relation.ispartofissue6
dc.relation.ispartofjournalIEEE Transactions on Pattern Analysis and Machine Intelligence
dc.relation.ispartofvolume24
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchInformation Systems
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode0806
dc.subject.fieldofresearchcode0906
dc.titleFace Recognition Using Line Edge Map
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyright© 2002 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.issued2002
gro.hasfulltextFull Text
gro.griffith.authorGao, Yongsheng


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