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1、PatternRecognition46(2013)2613–2621ContentslistsavailableatSciVerseScienceDirectPatternRecognitionjournalhomepage:www.elsevier.com/locate/prEyelocalizationfromthermalinfraredimagesa,naabShangfeiWang,ZhileiLiu,PeijiaShen,QiangJiaKeyLabofComputingandCommunicationSoftwareofAnhuiProvin
2、ce,SchoolofComputerScienceandTechnology,UniversityofScienceandTechnologyofChina,Hefei230027,Anhui,PRChinabDepartmentofElectrical,Computer,andSystemsEngineering,RensselaerPolytechnicInstitute,Troy,NY12180,USAarticleinfoabstractArticlehistory:Byusingtheknowledgeoffacialstructureandte
3、mperaturedistribution,thispaperproposesanReceived28October2012automaticeyelocalizationmethodfromlongwaveinfraredthermalimagesbothwitheyeglassesandReceivedinrevisedformwithouteyeglasses.First,withthehelpofsupportvectormachineclassifier,threegray-projection7February2013featuresaredefin
4、edtodeterminewhetherasubjectiswitheyeglasses.Forsubjectswitheyeglasses,theAccepted4March2013locationsofvalleysintheprojectioncurveareusedtoperformeyelocalization.ForsubjectswithoutAvailableonline21March2013eyeglasses,afacialstructureconsistingof15sub-regionsisproposedtoextractHaar-
5、likefeatures.EightKeywords:classifiersarelearnedfromthefeaturesselectedbyAdaboostalgorithmforleftandrighteye,Eyelocalizationrespectively.Avotestrategyisemployedtofindthemostlikelyeyes.ToevaluatetheeffectivenessofEyeglassdetectionourapproach,experimentsareperformedonNVIEandEquinoxdata
6、bases.TheeyeglassdetectionresultsLongwavethermalinfraredimagesonNVIEdatabaseandEquinoxdatabaseare99.36%and95%,respectively,whichdemonstratetheeffectivenessandrobustnessofoureyeglassdetectionmethod.Eyelocalizationresultsofwithin-databaseexperimentsandcross-databaseexperimentsonthese
7、twodatabasesareverycomparablewiththepreviousresultsinthisfield,verifyingtheeffectivenessandthegeneralizationabilityofourapproach.&2013ElsevierLtd.Allrightsreserved.1.Introductionmuchprogressineyedetectionforvisibleimages[10],therehasbeenlittleprogressforeyedetectionforthermalimages.
8、SincetheFaceandfacialexpre
