文件名称:Demo-Adaboost-Facial-Expression
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人脸表情识别的一个Demo，采用Gabor滤波器提取特征，用Adaboost算法进行分类-A Demo facial expression recognition using Gabor filter feature extraction using Adaboost algorithm to classify
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下载文件列表
Demo-Facial-Expression
......................\AdaBoost.p
......................\AdaBoostClassify.p
......................\adafacialexp.p
......................\addtodatabase.p
......................\best_features_files.mat
......................\DataBase
......................\........\KL.AN1.167.tiff
......................\........\KL.AN2.168.tiff
......................\........\KL.DI1.170.tiff
......................\........\KL.DI2.171.tiff
......................\........\KL.DI3.172.tiff
......................\........\KL.DI4.173.tiff
......................\........\KL.FE1.174.tiff
......................\........\KL.FE3.176.tiff
......................\........\KL.HA1.158.tiff
......................\........\KL.HA2.159.tiff
......................\........\KL.HA3.160.tiff
......................\........\KL.NE1.155.tiff
......................\........\KL.NE2.156.tiff
......................\........\KL.SA2.162.tiff
......................\........\KL.SU1.164.tiff
......................\........\KL.SU2.165.tiff
......................\........\KL.SU3.166.tiff
......................\deriv_gauss.p
......................\expressionclassification.p
......................\ExpressMain.fig
......................\ExpressMain.p
......................\Fexpress.mp4
......................\findfeatures.p
......................\gaborfilter1.p
......................\gaborfilters.p
......................\mykurtosis.p
......................\mystd.p
......................\readme.m
......................\risultato1.mat
......................\risultato2.mat
......................\risultato3.mat
......................\risultato4.mat
......................\risultato5.mat
......................\risultato6.mat
......................\SingleWeakLearner.p
......................\SingleWeakLearnerROC.p
......................\sourcecode.m
......................\StrongClassify.p
......................\trovagauss.p
......................\WeakClassify.p
......................\WeakClassifyBatch.p
......................\WeakClassifyROC.p
......................\WeakLearner.p
......................\zigzagdct.p