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1、ProbabilisticContourExtractionUsingHierarchicalShapeRepresentation1,2212XinFanChunQiDequnLiangHuaHuang12SchoolofInformationEngineering,SchoolofElectronicsandInformationEngineering,DalianMaritimeUniversity,Xi’anJiaotongUniversity,Dalian,P.R.China.116026Xi’an,P.R.China.710049fanxin@dlmu.e
2、du.cn{qichun,huanghua}@mail.xjtu.edu.cnAbstractarebuiltfromstatisticallyanalyzingexamplesoftheshapesofinterest,namelystatisticalmodels[2,3,17].Inthispaper,weaddresstheissueofextractingRegardlessoftherepresentationofmodels,thecontouroftheobjectwithaspecificshape.Asolutiontotheproblemisfo
3、undbydeterministichierarchicalgraphicalmodelisproposedtorepresentoptimizationtechniquesinmostmodel-basedshapevariations.Acomplexshapeisdecomposedintoapproachestocontourextraction.In[4],DynamicseveralcomponentswhicharedescribedasPrincipalProgrammingisusedtofindagloballyoptimalmatch.Compo
4、nentAnalysis(PCA)basedmodelsinvariousInActiveShapeModels(ASM)proposedbyCootesetlevels.Thehierarchicalrepresentationallowsforal.[2],alocalminimumofthematchingenergyischain-likeconditionaldependencywithinasinglelevelfoundbasedongreedysearchinginlocalandbidirectionalcommunicationbetweendif
5、ferentneighborhoods.Whilethematchingisformulatedaslevels.Additionally,aSequentialMonte-Carlo(SMC)Bayesianestimationin[17],theproblemisresolvedbasedinferencealgorithmthatcanexploretheviaapyramidsearchingstrategy.AndCremersetal.graphicalstructureisproposedtoestimatethecontour.provideagrad
6、ientdescentschemefortheTheexperimentsperformedonreal-worldhandandminimizationofamodifiedMumford-Shahenergyfaceimagesshowthattheproposedmethodiseffectivefunctionalthatincorporatesstatisticalshapeincombatingocclusionandclutteredbackground.information[3].However,itisworthnotingthatthereMor
7、eover,itispossibletoisolatethelocalizationexistmultipleinconsistentinterpretationsofimageerrortoanindividualcomponentofashapeattributedfeaturesduetothecomplicationofnaturalscenes.tothehierarchicalrepresentation.Thus,itmightbeproblematictoperformasearchingprocedurealongonedirect