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1、Efficient,RobustandAccurateFittingofa3DMorphableModelSamiRomdhaniThomasVetterUniversityofBasel,ComputerScienceDepartmentBernoullistrasse16,CH-4056Basel,Switzerland sami.romdhani,thomas.vetter@unibas.chAbstract Robustagainstnon-Gaussiannoise.Theassumptionofnormalityofthedifferencebetwe
2、entheimagesyn-3DMorphableModels,asameanstogenerateimagesthesizedbythemodelandtheinputimageisgenerallyofaclassofobjectsandtoanalyzethem,havebecomein-violatedduetothepresenceofaccessoriesorartifactscreasinglypopular.Theproblematicpartofthisframework(glasses,hair,specularhighlight).isthe
3、registrationofthemodeltoanimage,a.k.a.thefitting.Thecharacteristicfeaturesofafittingalgorithmareitsef-ficiency,robustness,accuracyandautomation.Manyaccu- Accurate,aswehavealreadypointedout,theaccu-ratealgorithmsbasedongradientdescenttechniquesexistracyiscrucialfortheapplicationwhichistou
4、sethewhichareunfortunatelyshortontheotherfeatures.Re-fittingresults(and,generally,thelevelofaccuracyre-cently,anefficientalgorithmcalledInverseCompositionalquireddependsthereon.)ImageAlignment(ICIA)algorithm,abletofit2Dimages,wasintroduced.Inthispaper,weextentthisalgorithmtofit3DMorphable
5、Modelsusinganovelmathematicalnotation Automatic:Thefittingshouldrequireaslittlehumanwhichfacilitatestheformulationofthefittingproblem.Thisinterventionaspossible,optimally,noinitialization.formulationenablesustoavoidasimplificationsofarusedintheICIA,beingasefficientandleadingtoimprovedfit-t
6、ingprecision.Additionally,thealgorithmisrobustwithoutAnalgorithmcapableofanyofthefouraforementionedsacrificingitsefficiencyandaccuracy,therebyconformingfeaturesisdifficulttosetup.Analgorithmcapableofalltothreeofthefourcharacteristicsofagoodfittingalgo-fourfeaturesistheholygrailofmodelbase
7、dcomputervi-rithm.sion.Accuratealgorithmsexistalreadysinceafewyears(e.g.[5])buttheyareshortonthethreeotherfeatures.Re-cently,BakerandMatthews[2]presentedanefficiental-gorithmforfitting2Dcorrespondence-basedmodels,called1.IntroductionInverseCompositionalImageAlignment(ICIA).Theyde-riveda
8、firsto