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1、FittingaMorphableModeltoPoseandShapeofaPointCloudDavidC.Schneider,PeterEisertFraunhoferHeinrichHertzInstitute,Einsteinufer37,10587Berlin,Germany{david.schneider,eisert}@hhi.fraunhofer.deAbstractmodelshavebeenusedmostsuccessfullyinthedo-mainofthehumanheadan
2、dface,wheretheyareThepaperaddressesthetaskoffittingamorphablecalledmorphableheadmodels[9].Awidenumberheadmodeltoadense,unstructuredanduntexturedofapplicationsincomputervisionandgraphicscanpointcloud.Theproblemistypicallyapproachedbedrivenorsupportedbymorpha
3、blemodels,in-inamulti-stepprocess,comprisingofgenericnon-cluding,forexample,facerecognition[3,10],facerigidregistration,conversiontothemodel’stopol-tracking[17,18]andseveralvarietiesof3Drecon-ogyandfittingofthemodel.Here,adirectapproachstruction,e.g.fromunc
4、alibratedvideo[12]orfromisproposedwherethemorphablemodelisfittedstereoimages[2].tothepointclouditselfinanoptimizationprocessInordertofitthemorphablemodeltotheshapefollowingtheIterativeClosestPointsframework.ofahumanhead—i.e.tocomputethemodelparam-Alongwithsh
5、apeparameters,rigidposeandscaleetersthatdescribethehead—thetargetheadmustareestimatedexplicitlywhichleadstobetterfittingberepresentedinawaythatissemanticallyconsis-resultsthanshapeestimationalone.Acompactfor-tentwiththemodel:Thetargetmusthavethesamemulation
6、ofacostfunctionisproposed,applicablenumberofverticesasthemodelandtheseverticesalsointhecaseofamodelcomprisingofmultiple,mustbeplacedatsemanticallyequivalentlocations.independentsub-modelseachofwhichdescribesaIf,forexample,thevertexwithindexKdescribesregion
7、oftheface.Theuseofthealgorithmforthetipofthenoseinthemodel,thismustalsobeothertaskssuchasaddingdepthtomugshot-stylethecaseintherepresentationofthetargethead.facephotosisdiscussed.Notethatsemanticconsistencyisnotthesameas(anddoesnotrequire)topologicalequiva
8、lenceas1Introductiontopologydoesnotrelatetosemanticsandmattersoftriangulationarenotimportantforamorphable“Morphablemodels”areadaptivemodelsof3Dmodel.shape(andsometimestexture)ofacertainobjectInpracticethiscon
