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20064817924orl_faces_112x92
- orl人脸图像库，共40人，每人10幅图像，其中每人的前5幅作为训练样本，后5幅作为测试分类样本，统计正确分类率。分类准则为最近邻规则。 真实的图像尺寸为112x92，列向量堆积对应人脸库矩阵的每一列。 -orl face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sampl
load_mydatabase
- this code is load orl dataset for face recognition
PCA_orl
- 对人脸图片用PCA降维，提取特征脸，附上orl数据库-dimension reduction using PCA to extract eigenfaces of face images and the orl dataset will also be provided
faceRecognition
- 基于SVM和PCA的人脸识别，使用了orl人脸数据集和libsvm.jar-face recognition based on SVM and PCA. orl faces dataset and libsvm.jar are used
LBP-DBN-face-recognition-master
- 人脸识别，提出LBP和DBN方法的人脸识别算法，数据集是orl人脸数据集。-face recognition, face recognition algorithm LBP and DBN proposed method, the data set is orl face dataset.
deeplearning_facerecognition
- 人脸识别，使用深度学习中的DBN算法进行人脸识别算法，数据集是orl人脸数据集。-face Recognition, using the depth learning DBN algorithm recognition algorithm, the data set is a orl face dataset.
PCA+SVM
- 采用经典的orl人脸数据集，利用PCA进行进行降维，然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical orl face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)