Matlab人脸识别_人脸识别_人脸检测_matlab

%--------------函数说明------------- % 整合输入的人脸样本 % 输出：样本矩阵 %----------------------------------- function ImgData = imgdata() %用法： ImgData = imgdata(); namud = 0.5; %原始图片缩小倍数 %分别导入图片 pic1 = rgb2gray(imread('1.jpg')); pic1 = imresize(pic1,namud); pic2 = rgb2gray(imread('2.jpg')); pic2 = imresize(pic2,namud); pic3 = rgb2gray(imread('3.jpg')); pic3 = imresize(pic3,namud); pic4 = rgb2gray(imread('4.jpg')); pic4 = imresize(pic4,namud); pic5 = rgb2gray(imread('5.jpg')); pic5 = imresize(pic5,namud); pic6 = rgb2gray(imread('6.jpg')); pic6 = imresize(pic6,namud); pic7 = rgb2gray(imread('7.jpg')); pic7 = imresize(pic7,namud); pic8 = rgb2gray(imread('8.jpg')); pic8 = imresize(pic8,namud); pic9 = rgb2gray(imread('9.jpg')); pic9 = imresize(pic9,namud); pic10 = rgb2gray(imread('10.jpg')); pic10 = imresize(pic10,namud); % pic11 = rgb2gray(imread('11.jpg')); pic11 = imresize(pic11,namud); % pic12 = rgb2gray(imread('12.jpg')); pic12 = imresize(pic12,namud); [m,n] = size(pic1); %取图片大小 % 下面采用一个细胞体结构的数据类型存储多个矩阵 pic_all = {pic1,pic2,pic3,pic4,pic5,pic6,pic7,pic8,pic9,pic10}; for i=1:10 %把m*n的矩阵变换成1*(m*n)的矩阵 ImgData(i,:) = reshape(pic_all{i},1,m*n); end %讲数据范围缩小到0到1之间 ImgData = double(ImgData)/255;