Show simple item record

dc.contributor.authorZhang, Xiaozheng
dc.contributor.authorGao, Yongsheng
dc.date.accessioned2017-05-03T14:34:30Z
dc.date.available2017-05-03T14:34:30Z
dc.date.issued2009
dc.date.modified2010-06-24T05:19:02Z
dc.identifier.issn0031-3203
dc.identifier.doi10.1016/j.patcog.2009.04.017
dc.identifier.urihttp://hdl.handle.net/10072/30193
dc.description.abstractOne of the major challenges encountered by current face recognition techniques lies in the difficulties of handling varying poses, i.e., recognition of faces in arbitrary in-depth rotations. The face image differences caused by rotations are often larger than the inter-person differences used in distinguishing identities. Face recognition across pose, on the other hand, has great potentials in many applications dealing with uncooperative subjects, in which the full power of face recognition being a passive biometric technique can be implemented and utilised. Extensive efforts have been put into the research toward pose-invariant face recognition in recent years and many prominent approaches have been proposed. However, several issues in face recognition across pose still remain open, such as lack of understanding about subspaces of pose variant images, problem intractability in 3D face modelling, complex face surface reflection mechanism, etc. This paper provides a critical survey of researches on image-based face recognition across pose. The existing techniques are comprehensively reviewed and discussed. They are classified into different categories according to their methodologies in handling pose variations. Their strategies, advantages/disadvantages and performances are elaborated. By generalising different tactics in handling pose variations and evaluating their performances, several promising directions for future research have been suggested.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent1216431 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeNetherlands
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom2876
dc.relation.ispartofpageto2896
dc.relation.ispartofissue11
dc.relation.ispartofjournalPattern Recognition
dc.relation.ispartofvolume42
dc.rights.retentionY
dc.subject.fieldofresearchComputer vision
dc.subject.fieldofresearchImage processing
dc.subject.fieldofresearchInformation systems
dc.subject.fieldofresearchcode460304
dc.subject.fieldofresearchcode460306
dc.subject.fieldofresearchcode4609
dc.titleFace Recognition across Pose: A Review
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Engineering
gro.rights.copyright© 2009 Elsevier. This is the author-manuscript version of this paper. Reproduced 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


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record