基于膚色模型與神經網絡集成的人臉檢測.pdf

1、上海大學碩士學位論文基于膚色模型與神經網絡集成的人臉檢測姓名：杜曉鳳申請學位級別：碩士專業(yè)：計算機應用指導教師：丁友東20060101L海大學壩二L學位論文ABSTRACTFacedetectionistheprocessofsearchinghumanfacesinanimagetodecidetheirmlmbers，positions，sizesAsthepreviousstepoffacerecognition，facedete

2、ctionisrelatedtothe療eldsofpattemrecogni“on，imageprocessing，physjoIogy，cognitivescienceetcOVerthepasttenyearsfacedetectionhasbeenthoroughlystudiedincomputerVisionresearchforitsinterestingapplications，suchasfacerecognition

3、system，surVeillancesystemandmachineimerfaceManyalgorithnlshavebeengotthrou曲decade’syearsofstudyButthereexistsstilllotsofdifncultiesinthenledsuchasf≥Iceexpression，illumination，trainingspeedanddetectionspeedToday，moreandmo

4、reimagesarec010rimages，andthec010rfea“IreoffaceskinisanimportantfeatureInthisthesis，thefundamentaltheoriesandthekeytechnologiesoffastfacedetectionfromcolorimagesaremainlystudiedTheresearchworkinthisthesisincludesthefollo

5、wingcomentsFirstly，Dif詫rentskinmodelsa11dseveralc010rspacesarestudied，a11dthenwemakesanimprovementofskincolormodelbasedonk—meanscluster，andwealsoproposedanoVelmethodofthresholdselectionExperimentsshowtheycangetbetterreSL

6、IltsSecondly，facerepresemationssuchasPCA，edgefcatures；HaarandHaarlikefeaturesaremainlystudied，andarepresentationbasedonHaarfeaturesisdesignedbycomparingexperimemSubsequently，somemainstreamclassmersarediscussed，andattenti

7、onsarenlainlypaidonNNE(neuralnetworkensemble)class試erAnovelmethodnamedF10atBagisproposed，whichselectanoptimumsubsetofindividualnetworkstoconstituteanensembleAsamethodoffeaturesselectionbasedonFloatingSearch，FloatBagcange

8、tmoreeHbctiVenetworksthannornlalBagging；whileithascapabilityofparallelcomputingasadeVelopmentofBaggingFinally，afacedetectionsystemforcolorimageisproposedandimplementedbycombiningskindetectionandFloatBagclassifierExperime