Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/22335
DC FieldValueLanguage
dc.contributorDepartment of Computing-
dc.creatorZhou, J-
dc.creatorLu, XG-
dc.creatorZhang, D-
dc.creatorWu, CY-
dc.date.accessioned2014-12-31T08:02:28Z-
dc.date.available2014-12-31T08:02:28Z-
dc.identifier.issn0262-8856-
dc.identifier.urihttp://hdl.handle.net/10397/22335-
dc.language.isoenen_US
dc.subjectHuman face detectionen_US
dc.subjectOrientation analysisen_US
dc.subjectOrientation histogramen_US
dc.subjectPattern recognitionen_US
dc.titleOrientation analysis for rotated human face detectionen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage257-
dc.identifier.epage264-
dc.identifier.volume20-
dc.identifier.issue4-
dc.identifier.doi10.1016/S0262-8856(02)00018-5-
dcterms.abstractIn this paper, we present a framework of orientation analysis for rotated human face detection. A novel orientation histogram is constructed for statistical analysis of face images, which can show a proper symmetry with respect to the orientation of the principal axis and a local peak at its orthogonal orientation. By analyzing the orientation histogram, we can easily find the principal axis' orientation of the rotated face. Then an upright frontal face detector based on orientation analysis and other knowledge is designed to verify the given face. The experimental results illustrate the effectiveness of our framework.-
dcterms.bibliographicCitationImage and vision computing, 2002, v. 20, no. 4, p. 257-264-
dcterms.isPartOfImage and Vision Computing-
dcterms.issued2002-
dc.identifier.isiWOS:000175110100001-
dc.identifier.scopus2-s2.0-0036533505-
dc.identifier.rosgroupidr06363-
dc.description.ros2001-2002 > Academic research: refereed > Publication in refereed journal-
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