Robust Facial Component Detection for Face Alignment Applications

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1、RobustFacialComponentDetectionforFaceAlignmentApplicationsMartinUrschler1,MarkusStorer1,HorstBischof1,JosefA.Birchbauer21InstituteforComputerGraphicsandVisionGrazUniversityofTechnology,Austriafurschler,storer,bischofg@icg.tugraz.at2SiemensBiometricsCenterSie

2、mensITSolutionsandServices,SiemensAustriajosef-alois.birchbauer@siemens.comAbstractBiometricapplicationslikefacerecognition/verificationareanimportanttopicincomputervision,bothforresearchandcommercialsystems.Unfortunately,stateoftheartfacerecognitionsystemsar

3、enotabletoworkwitharbitraryinputimagestakenunderdifferentimagingconditionsorshowingocclusionsand/orvariationsinexpressionorpose.Tosupportfacerecognitiononehastoperformafaceimagealignment(normalization)stepthattakesocclusions/variationsintoaccount.Inthisworkw

4、epresentarobustfacenormalizationalgorithmsuitableforarbitraryinputimagescontainingaface.Thealgorithmisbasedondetectingfaceandfacialcomponentcandidatesandrobustlyvotingforthebestfaceandeyes.Ourrestrictionsareacertainposerange(frontaltohalfprofile)andsuit-ablei

5、lluminationconditions.Ouralgorithmisdesignedtodealwithocclusionsanditsperformanceisshownonthreepubliclyavailableimagedatabases.1IntroductionFacerecognitionisanimportantbiometricapplicationwhichisreflectedintherelevanceoffacialim-ageanalysisasaresearchtopicinc

6、omputervision.Thereisahighinterestinbiometricsduetoalargenumberofpotentialcommercialandlawenforcementapplications(e.g.,biometricauthenticationorsurveillance)requiringrobustandhighlyaccuraterecognitionofbiometricfeatureslikefingerprints,irisortheface.Thebenefit

7、offacesinthiscontextisthelackofnecessarycooperationand/orknowl-edgeofthepersonasopposedtotheotherbiometriccues.Thistopichasreceivedsignificantresearchattentionoverthelasttwodecades[23]andhasalsoledtocommercialsystems[16].Wearespecificallyinterestedinanalyzingf

8、acialportraitandnear-portraitimagesinthecontextoftheInternationalCivilAviationOrganization(ICAO)standard[9]formachinereadabletraveldoc-uments(MRTDs).Themainintentionofthisstandardistodefinehowarb