基于子空间的人脸识别算法研究

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1、北京交通大学硕士学位论文基于子空间的人脸识别算法研究姓名：郭晶晶申请学位级别：硕士专业：信号与信息处理指导教师：阮秋琦20080601j匕塞銮垣太堂亟±堂位i金塞△垦墨IR△￡!ABSTRACTABSTRACT：Facerecognitionisanimportantresearchfieldinimageprocessingandpanernrecognition．NooneCanfindtwohumanfacesthatexactlythesamethroughouttheworld．Therefore，theresearchtopichasasi

2、gnificanttheoreticalandpracticalvalueasthedemandofhighlyefficientandeffectiveBio-Identificationnowadays．After40yearsofresearchinpatternrecognition，computervision，neuralnetworkandphysiologyetc．，researchersstillCannotbetheoreticallyprovewhetheritispracticaltoinventahuman-likeauto-

3、machineforfacerecognition，whichmakestheresearchtopicmuchmorechallenging．Afteranabundantstudyandresearchofpapersinthisfield，anin-depthresearchofsubspacebasedfacerecognitionalgorithmsarepresentedinthispaper．ExperimentsshowthattheimprovedalgorithmspresentedinthispaperareofbeRerperf

4、ormanceandcertaintheoreticalandpracticalvalueaswell．Theresearchworkabovemainlyincludesthefollowingseveralaspects．First，researchonthequalityofkernelmethodsbasedonthestudyandimplementPCAandKPCAforfacerecognition．Second，animprovedLDAmethodbasedonregularizedparameterispresenteddueto

5、theSSSproblemafteranin-depthstudytheLDAandDirectLDAmethodsforfacerecognition．Furthermore，thekernelformoftheimprovedLDAmethodhaspresentedbasedontwokindsofkernelfunctions．Third，animprovedLocalityPreservingProjectionispresentedbasedonoptimallinearembedding，furthermore，itskernelform

6、andsupervisedformarepresentedbasedontheoreticaldeduction．Last，feasibilityanalysisofthealgorithmspresentedinthispaperhasbeenaddressedwhenappliedtorealworldfacerecognitionsystems．KEYWORDS：Subspacepatternanalysis；Kernelmethods；PrincipalComponentAnalysis；DiscriminantAnalysis；Localit

7、yPreservingProjection；OptimalLinearEmbedding；Real—TimeFaceRecognitionSystemCI．ASSNO：学位论文版权使用授权书本学位论文作者完全了解北京交通大学有关保留、使用学位论文的规定。特授权北京交通大学可以将学位论文的全部或部分内容编入有关数据库进行检索，并采用影印、缩印或扫描等复制手段保存、汇编以供查阅和借阅。同意学校向国家有关部门或机构送交论文的复印件和磁盘。(保密的学位论文在解密后适用本授权说明)学位论文作者签名：亳产t,r切ro胛le"导师签名：签字日期：加尹夥年6月IEt签

8、字日期：p独创性声明本人声明所呈交的学位论文是本人在导师指导下进行的研究工作和取得的研究成果，