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資源簡介

此方法采用經(jīng)典的PCA對人臉圖像進行特征提取,用libsvm庫函數(shù)的SVM分類器對圖像分類。

資源截圖

代碼片段和文件信息

clear;
clc;
tic;
%%%%%%%%%%%%%%%%%%%%
addpath(‘E:\libsvm_mat_new‘);
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%數(shù)據(jù)導入
filePath=‘E:\人臉識別\人臉庫\orl‘;

%所有訓練圖像
train_data=[];???
for?i=1:40
????for?j=1:5
??????filepath=strcat(filePath‘\s‘num2str(i)‘\‘num2str(j)‘.pgm‘);
??????a=imread(filepath);????%strcat組合字符串???num2str數(shù)值轉(zhuǎn)換成字符串
??????[mn]=size(a);
??????b=a(1:m*n);?%?b是行矢量?1×N,其中N=10304,提取順序是先列后行,即從上到下,從左到右
??????b=double(b);???%double
??????
??????train_data=[train_data;?b];??%?allsamples?是一個M?*?N?矩陣,allsamples?中每一行數(shù)據(jù)代表一張圖片,其中M=200
????end
end
%所有測試圖像
test_data=[];???
for?i=1:40
????for?j=6:10?%讀入40?x?5?副測試圖像
????????a=imread(strcat(filePath‘\s‘num2str(i)‘\‘num2str(j)‘.pgm‘));?
????????[m1n1]=size(a);
????????b=a(1:m1*n1);
????????b=double(b);?????%1×10

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----

?????文件???????3949??2010-03-29?16:31??PCA_SVM\classifier_orl_svm.m

?????文件????????461??2009-12-06?17:50??PCA_SVM\norm_data.m

?????文件???????8127??2009-12-06?17:51??PCA_SVM\PCA.m

?????文件???????2748??2009-12-06?21:50??PCA_SVM\SVMcgForClass.m

?????目錄??????????0??2010-04-06?15:00??PCA_SVM

-----------?---------??----------?-----??----

????????????????15285????????????????????5


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