getfeature.m

使用Fisher线性鉴别分析（FLDA）方法在ORL人脸数据库上进行人脸识别试验。ORL标准人脸库共包含40人

function [TrainFeature,TestFeature]=GetFeature(Train_Sample,Test_Sample)
%使用Fisher线性鉴别分析方法对样本进行特征提取
%输入分别为训练样本Train_Sample和测试样本Test_Sample
%返回值：TrainFeature为训练样本特征集；TestFeature为测试样本特征集

Projection=GetProjection(Train_Sample);  %根据训练样本集求解投影矩阵
%特征提取
[dim,sn,cn]=size(Train_Sample);
[dim,cdim]=size(Projection);
TrainFeature=zeros(cdim,sn,cn);
V=Projection';
for t=1:cn
    TrainFeature(:,:,t)=V*Train_Sample(:,:,t);
end
[dim,sn,cn]=size(Test_Sample);
TestFeature=zeros(cdim,sn,cn);
V=Projection';
for t=1:cn
    TestFeature(:,:,t)=V*Test_Sample(:,:,t);
end