dc.contributor.authorYan, Bingen_US
dc.date.accessioned2008-09-17T09:38:17Z
dc.date.available2008-09-17T09:38:17Z
dc.date.copyright2004en_US
dc.date.issued2004
dc.identifier.urihttp://hdl.handle.net/10356/3824
dc.description.abstractInterest and research activities in automatic face recognition have been developed significantly in last few years. The growth largely is driven by growing application demands, such as identification and authentication in security industry. Among the number of techniques proposed, deformable models, such as active contours (snakes), G-Snakes, deformable templates, Active Shape Models (ASM), Al-Snake, etc has aroused much research interest because of their powerful ability in objects matching. Deformable models show great advantages compared with other approaches. It is robust to shape variation and occlusion of the interested objects because of their capability to adapt themselves according to the object shapes. The large demand in identification and authentication has motivated us to investigate the deformable model application in facial feature extraction.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
dc.titleFace recognition based on Bayesian shape modelen_US
dc.typeThesisen_US
dc.contributor.supervisorTeoh, Eam Khwangen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeMaster of Science (Computer Control and Automation)en_US


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