Improved SIFT matching for pose robust facial expression recognition

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dc.contributor.authorSoyel, Hamit
dc.contributor.authorDemirel, Hasan
dc.date.accessioned2026-02-06T17:54:35Z
dc.date.issued2011
dc.departmentDoğu Akdeniz Üniversitesi
dc.description2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011 --
dc.description.abstractThis paper presents a method to enhance the recognition of facial expressions under varying poses, based on the scale invariant feature transform (SIFT). Affine transformation is used to recover the effect of the unknown depths of keypoints extracted from the 2D images, allowing the problem to be reduced to an absolute orientation with scale problem, which is solved using SVD. The proposed -SIFT method has been experimented with BU-3DFE database acquired with different perspective camera views and has been shown to outperform regular SIFT and D-SIFT. © 2011 IEEE.
dc.identifier.doi10.1109/FG.2011.5771463
dc.identifier.endpage590
dc.identifier.isbn9781424491407
dc.identifier.scopus2-s2.0-79958759559
dc.identifier.scopusqualityN/A
dc.identifier.startpage585
dc.identifier.urihttps://doi.org/10.1109/FG.2011.5771463
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/
dc.identifier.urihttps://hdl.handle.net/11129/7474
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20260204
dc.subject3D facial expression recognition
dc.subjectaffine transformation
dc.subjectSIFT
dc.titleImproved SIFT matching for pose robust facial expression recognition
dc.typeConference Object

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