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1、RobustFacialComponentDetectionforFaceAlignmentApplicationsMartinUrschler1,MarkusStorer1,HorstBischof1,JosefA.Birchbauer21InstituteforComputerGraphicsandVisionGrazUniversityofTechnology,Austriafurschler,storer,bischofg@icg.tugraz.at2SiemensBiometricsCenterSie
2、mensITSolutionsandServices,SiemensAustriajosef-alois.birchbauer@siemens.comAbstractBiometricapplicationslikefacerecognition/veri?cationareanimportanttopicincomputervision,bothforresearchandcommercialsystems.Unfortunately,stateoftheartfacerecognitionsystemsar
3、enotabletoworkwitharbitraryinputimagestakenunderdifferentimagingconditionsorshowingocclusionsand/orvariationsinexpressionorpose.Tosupportfacerecognitiononehastoperformafaceimagealignment(normalization)stepthattakesocclusions/variationsintoaccount.Inthisworkw
4、epresentarobustfacenormalizationalgorithmsuitableforarbitraryinputimagescontainingaface.Thealgorithmisbasedondetectingfaceandfacialcomponentcandidatesandrobustlyvotingforthebestfaceandeyes.Ourrestrictionsareacertainposerange(frontaltohalfpro?le)andsuit-ablei
5、lluminationconditions.Ouralgorithmisdesignedtodealwithocclusionsanditsperformanceisshownonthreepubliclyavailableimagedatabases.1IntroductionFacerecognitionisanimportantbiometricapplicationwhichisre?ectedintherelevanceoffacialim-ageanalysisasaresearchtopicinc
6、omputervision.Thereisahighinterestinbiometricsduetoalargenumberofpotentialcommercialandlawenforcementapplications(e.g.,biometricauthenticationorsurveillance)requiringrobustandhighlyaccuraterecognitionofbiometricfeatureslike?ngerprints,irisortheface.Thebene?t
7、offacesinthiscontextisthelackofnecessarycooperationand/orknowl-edgeofthepersonasopposedtotheotherbiometriccues.Thistopichasreceivedsigni?cantresearchattentionoverthelasttwodecades[23]andhasalsoledtocommercialsystems[16].Wearespeci?callyinterestedinanalyzingf
8、acialportraitandnear-portraitimagesinthecontextoftheInternationalCivilAviationOrganization(ICAO)standard[9]formachinereadabletraveldoc-uments(MRTDs).Themainintentionofthisstandardistode?nehowarb
