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ID:33839191
大小:118.73 KB
页数:12页
时间:2019-03-01
《thereportofthefacerecognition_英语考试_外语学习_教育专区》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
1、IntroductionBackgroundEigenfacesisacrucialconceptconcerningthecomputervisionofhumanityfacerecognition.AccordingtotheillustrationofMatthewandAlexcite{l},theeigenfacesactualareasetofeigenvectorswhichusedtorepresentimageswiththecorrespondingappropriatew
2、eightvalues.ThismechanismisextremelysimilarwithutilizingtheCartesianCoordinationSystemtodescribepointsinthethree-dimensionspace・Thelatterutilizesthex,y,andzaxestodeterminethepositionofapointandtheformerutilizestheeigenfacestodetermineanimage・Inthispro
3、cess,asetofeigenfacescanbecalledasetofdescribebasisforrecognizingimages・IntroductionInordertounderstandpreliminarilythebasicprincipleofhumanfacerecognitionbycomputerandtheroleoftheeigenfacesisplayedinthisprocess,thisexperimentisdividedintosixsectionsa
4、ndthesoftwareemph{matlab}isutilized・Beforethelab,theresomerequisiteoperationsarenecessarytobemanipulated.Todownloadthefilenamedemph{data_for_labC.mat}intotheemph{Matlab}andthentoinspectthevariablesemph{eigenfaces_blk}andemph{employees_DB}.Thefo
5、rmercontains101parametersandthefirst100ofthemaretheeigenfacesduetotheirface-likeappearaneeiftheyaredisplayedasimages.Thelastparameterofthevariableemph{eigenfaces_blk}isactuallyredundantinthislab,whichwillbeexplainednextinthefollowingpaper.Thevariable
6、emph{employees_DB}isastructthatcontaintheIDnumbersofthe100employeesandthecorrespondingweightsdescribingthefacesoftheseemployees・Thetaskofeachsectionislistedasbelow.:LTaskl:Toverifythattheseeigenfaceinthevariableemph{eigenfaces_blk}areorthogonal.2.Ta
7、sk2:Withthegivenegienfaces,theweightsoftheinputimageisfoundbyproject!ngitontheentirecollect!onoftheegienfaces(thetrainingfaces).Sincetheinputimageprojectingoneacheigenfacewillgenerateaweightvalue,therewillgainasetofweightsthatisthesamesizewiththenumbe
8、rofeigenfaces.Thereneedstowriteaemph{Matlab}functiontogaintheweightsofaface・Thedeclarationofthefunctionshouldbelike:$Function[weight_of_face,meanof_face]=get_^ace_weights(im,eigenfaces_blk)$Whereemph{mean_of_face}istheaverageintensityo
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