基于局部哈夫投票机制的人脸标定技术研究.pdf

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2、gMethodAThesisinComputerScienceandTechnologybyZhouLiangAdvisedbyProf.TanXiaoyangSubmittedinPartialFulfillmentoftheRequirementsfortheDegreeofMasterofEngineeringDecember,2012«ìÖ<(²¤¥a¬ÆØ©´<3e?1ïÄó9ïĤJ"Ø©¥AO±I5Ú/§Ø©¥Ø¹Ù¦<®²uL½>LïĤJ§Ø¹¼H®Ê

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8、°Ý§ýÏ8I"'cµ<òI½§*.§Ý¦.§õÑÑ*£8iÄuÛÜMÅݦÅ<òI½EâïÄABSTRACTFacealignmentisacomputervisiontechnologyforidentifyingthegeometricstructureofhumanfacepicturesandheplaysanimportantroleinthefaceprocessingsystem.Manyfaceprocessingpost-tasksrequirethefaceali

9、gnment.However,thefaceisakindofcomplicatedthree-dimensionalnon-rigidnaturalstructuretarget,andthefacialfeaturesarevulnerabletofacepose,facialexpressionandtheexternallightoreffectofnoise.So,allofthisincreasethedifficultyoftheaccuratefacealignment.Conseq

10、uently,robustaccuratefacealignmentresearchinrealityisofgreatsignificance.Firstthispapermakesathoroughreviewanalysisonthemethodsoffacealignmentinrecentyears.Andthenwefocusonabroadclassofobjectdetectionmodel:partbasedmodels.Theproposedmethodofour