llr.zip_LLR_site:en.pudn.com_局部线性嵌入

clc;clear; normalizeRow=60; normalizeCol=60; patchRow=20; patchCol=20; %% TrainNor=load('F:\a毕业论文\1程序\二维人脸偏转\3normalize\Train\TrainNor.mat'); TrainNor=TrainNor.TrainNor; TrainANor=load('F:\a毕业论文\1程序\二维人脸偏转\3normalize\Train\TrainANor.mat'); TrainANor=TrainANor.TrainANor; TrainBNor=load('F:\a毕业论文\1程序\二维人脸偏转\3normalize\Train\TrainBNor.mat'); TrainBNor=TrainBNor.TrainBNor; ProbeANor=load('F:\a毕业论文\1程序\二维人脸偏转\3normalize\Gallery_Probe\ProbeANor.mat'); ProbeANor=ProbeANor.ProbeANor; ProbeBNor=load('F:\a毕业论文\1程序\二维人脸偏转\3normalize\Gallery_Probe\ProbeBNor.mat'); ProbeBNor=ProbeBNor.ProbeBNor; [row col]=size(ProbeANor); ProbeANorTran=zeros(row,col); ProbeBNorTran=zeros(row,col); %% %%%%%%%%%%%%%%%%%%%%%%%%% patchNum=normalizeRow*normalizeCol/(patchRow*patchCol); for i=1:patchNum TrainNor_=[]; TrainANor_=[]; TrainBNor_=[]; ProbeANor_=[]; ProbeBNor_=[]; if mod(i,normalizeRow/patchRow) r=(mod(i,normalizeRow/patchRow)-1)*patchRow+1; c=floor(i/(normalizeRow/patchRow))*patchCol+1; else r=(normalizeRow/patchRow-1)*patchRow+1; c=(i/(normalizeRow/patchRow)-1)*patchCol+1; end for n=c:c+patchCol-1 for m=r:r+patchRow-1 R=(n-1)*normalizeRow+m; TrainNor_=[TrainNor_;TrainNor(R,:)]; TrainANor_=[TrainANor_;TrainANor(R,:)]; TrainBNor_=[TrainBNor_;TrainBNor(R,:)]; ProbeANor_=[ProbeANor_;ProbeANor(R,:)]; ProbeBNor_=[ProbeBNor_;ProbeBNor(R,:)]; end end ProbeANroTran_=TrainNor_*((TrainANor_'*TrainANor_)^-1)*TrainANor_'*ProbeANor_; ProbeBNroTran_=TrainNor_*((TrainBNor_'*TrainBNor_)^-1)*TrainBNor_'*ProbeBNor_; j=1; for n=c:c+patchCol-1 for m=r:r+patchRow-1 R=(n-1)*normalizeRow+m; ProbeANorTran(R,:)=ProbeANroTran_(j,:); ProbeBNorTran(R,:)=ProbeBNroTran_(j,:); j=j+1; end end end save '20x20\ProbeANorTran.mat' ProbeANorTran; save '20x20\ProbeBNorTran.mat' ProbeBNorTran;