基于arm架构的嵌入式人脸识别技术研究

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1、华东师范大学博士论文基于ARM架构的嵌入式人脸识别技术研究algorithmsbaseonthemaskandellipticalfitting，theexperimentalresultsshowthatitonlYtakeafewhundredmillisecondstocompletethehumaneyedetectionandpupilcentrelocationthewholeprocessbyusethenewalgorithms，ithasfastdetectionrateandhighlocationaccurac

2、ylhesamesamplesizeprobleminhumanfacerecognitionwilldegradespreadmatrixinlineardiscriminantanalysisalgorithms，andwillleadtotheproblemcannotbesolved。Tosolvethisproblem，weproposestheadaptivelineardiscriminantanalysisalgorithmthroughadjustingtheFishercriterionandmakingtheI

3、mprovementtotheFredmanthought，Usingthecomplementspaceofbetween—classscatterMatrixthealgorithmavoidstheinverseoperationofwithin。·classscattermatrixandadaptivelychangestheparameteraccordingtothesampleinformationofeachclass．Theexperimentalresultshowsthattheadaptivelineard

4、iscriminantanalysisalgorithmcanresolvetheSSSproblemofFReffectivelyGaborwaveletisrobusttoimagelight，scalechanges，anditisagoodfacialfeaturechar鑫cter主zat主on．ButthedimensionofexcessiveGaborcharacteristicswillleadtodimensiondisasteroftheappliGationsystem，inordertosolvethisp

5、roblem，weproposesGaborfeatureextractionalgorithmsbaseeffectivehumanfaceregion．Thisalgorithmsnotonlyreducesthehumanfacefeaturevectordimensioneffee乞iVe王y，makesmallthehumanfacelibraryscale，whilereducingthecorealgorithmsoftimeandspaceComplexity。Andithassamerobustnesswithth

6、etraditionalGaborfeatureextractionalgorithm．Thesupportvectormachine(SVM)，anewmethodfordatamininginrecentyears，hasitsunique8uperior主tyinmanyfields，suchaspatternrecognitionandnonlinearprogrammingandsoon．Inthispaper，westudymultipleclassifierstrategyandtrainingmethodoftheS

7、VM，andcombiningwithGaborfeatureextractionalgorithms，adaptivelineardiscriminantanalysisalgorithms，developastrongrobustnessembeddedautomaticfacerecognitionsystembaseWindowsCEoperatingsystemsinARMplatform．Toresolvethedifficultproblemofembeddedautomaticfacerecognit主onandid

8、entifyinmassivefacelibrary，weproposeapreliminaryremoteFace装eeognitionprogrammewhichbasedonclient／serverarchitecturewi