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关键点匹配三维人脸识别方法(3)

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导读: 表4 测试数据frontal2frontal3frontal4frontal5frontalaverage updownleftrightoverallaverage 基准59.140.9827.8829.5139.3513.1213.129.859.8525.44 [4]ZHANGLi-yan,RAZDANA,FARING,etal.3Dfacea

表4

测试数据frontal2frontal3frontal4frontal5frontalaverage

updownleftrightoverallaverage

基准59.140.9827.8829.5139.3513.1213.129.859.8525.44

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matchingfor3Dfacerecognitionundervaryingfacialexpression[J].IEEETransonPatternAnalysisandMachineIntelligence,2006,28(10):1695-1700.

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3D[C]//ProcofIEEEInternationalWorkshoponAnalysisandMo-delingofFacesandGestures.2003:232-233.

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用frontal1样式图像进行训练

MultiClassC4.5±10°yz

83.6470.4768.8557.3870.2126.2334.4516.3913.1446.35

1vs.AllC4.5±10°yz

80.7473.7665.5757.4169.2627.8731.2114.7514.7545.70

参考文献:

[1]GUPTAS,MARKEYMK.BOVIKAC.Advancesandchallengesin

3Dand2D+3Dhumanfacerecognition[M]//COLUMBUSF.Pat-ternrecognitiontheoryandapplication.NewYork:NovaSciencePub-lishers,2008:63-103.

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2004,25(5):887-890.机系统,

[3]XUCheng-hua,WANGYun-hong,TANTie-niu,etal.Anewattempt

tofacerecognitionusing3Deigenfaces[C]//ProcofACCV’04.(上接第4330页)响应时间方面,都能满足一个实时生物识别系

统的要求。低分辨率人耳图像识别尤其适合远距离拍摄、样本对识别速度要求高的场合。数量庞大、

致谢顺利完成。参考文献:

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[J].仪器仪表学报,2009,30(11):2273-2278.

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感谢北京科技大学提供了人耳图像库,使实验得以

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