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Robust Face Alignment for Illumination and Pose Invariant Face Recognition

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dc.contributor.authorKahraman, Fatih
dc.contributor.authorKurt, Binnur
dc.contributor.authorGökmen, Muhittin
dc.date.accessioned2026-01-25T03:00:05Z
dc.date.issued2007-06-01
dc.description.abstractIn this study we developed AAM based on face alignment method which handles illumination and pose variations. The classical AAM fails to model the appearances of the same identity under different illuminations and poses. We solved this problem by inserting histogram fitting into the searching mechanism and inserting synthetically generated poses
dc.description.urihttps://doi.org/10.1109/cvpr.2007.383400
dc.description.urihttps://doi.org/10.5772/8934
dc.description.urihttps://www.intechopen.com/chapter/pdf-download/10197
dc.description.urihttps://doi.org/10.1109/CVPR.2007.383400
dc.description.urihttp://www.intechopen.com/articles/show/title/robust-face-alignment-for-illumination-and-pose-invariant-face-recognition
dc.description.urihttps://dx.doi.org/10.1109/cvpr.2007.383400
dc.description.urihttps://aperta.ulakbim.gov.tr/record/39667
dc.identifier.doi10.1109/cvpr.2007.383400
dc.identifier.endpage7
dc.identifier.openairedoi_dedup___::533b24fa3b0df6b90c3d59bc75562215
dc.identifier.orcid0000-0002-8393-3425
dc.identifier.orcid0000-0002-9034-9067
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11527/43552
dc.publisherIEEE
dc.relation.ispartof2007 IEEE Conference on Computer Vision and Pattern Recognition
dc.rightsOPEN
dc.titleRobust Face Alignment for Illumination and Pose Invariant Face Recognition
dc.typeArticle
dspace.entity.typePublication

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