中文说明：资源描述 train_data_m：人脸训练集的矩阵形式，其中每个人脸都没有拉成向量形式，每个人脸图片都是矩阵，最后组合成的大矩阵。 train_data_c：每张人脸图片都被拉成了一个列向量，最后由所有的图片的列向量 train_label：每个训练图像的类标组成的一个行向量 P：包含--P.hang=hang（每张图片的行）;P.lie=lie（每张人脸图片的列）;P.num_person=num_person（人脸库包含的人数）; P.num=num_each_person/2;（我取的是一半作为训练，一半作为测试） P.num_train=num_train;训练样本数 P.num_test=num_test;测试样本数
English Description：
Application backgroundTrain_data_m: face training set of the matrix form, in which each face is not pulled into a vector form, each face image is the matrix, the final combination of large matrix.Train_data_c: each face image has been pulled into a column vector, and finally by the column vector of all the pictures train_label: a row vector of the class of each training image. P: contains --P.hang=hang (line of each picture); P.lie=lie (P.num_person=num_person); the number of human faces;P.num=num_each_person/2; (I take half as training, half as a test).P.num_train=num_train training sample numberP.num_test=num_test test sample number