搜索资源列表
pca&mda
- pca，mda对ORL数据集上的人脸图像进行分类
ORL Database
- 这是一个常用的人脸识别的数据库，可能对大家有所帮助 -This is a commonly used face recognition database that may help you
pca&mda
- pca，mda对ORL数据集上的人脸图像进行分类-pca, mda on ORL data set on the face image classification
facedata
- 这是读好的ORL 和YALE人脸库数据， 用LODA加载后， 变量train 代表是训练样本， test 代码是测试样本。-This is a good time ORL and Yale face database data, using Loda loaded, variable train representatives training samples, test code is to test the samples.
LDA-based-face-recognition
- 基于LDA的人脸识别技术，从ORL数据库读数据，然后从中取一部分进行训练，一部分进行测试。-This code is LDA base face recognition programme. It reads nots faces from ORL database and the rest (noc-nots) are used as test. LDA_Performance shows the recognition per
SVD
- 一个基于SVD分解的人脸识别程序，采用ORL数据集进行试验-An SVD decomposition program for face recognition using ORL data set to test
FastPCA_Feature_extraction-on-ORL
- 通过FastPCA在ORL人脸数据集上提取主成分脸并可视化，ReadFaces函数读取每个人的前五张图片作为实验数据集。-Extracting principal component faces on ORL_faces datasets by FastPCA and visualing them are done.ReadFaces function reads the five pictures of everyone as th
PCA_ORL
- 基于PCA和SVM的人脸识别系统的实现，实验数据采用ORL人脸库。-Based on the PCA and the SVM face recognition system is realized, the experiment data using ORL face database.
2DPCA
- 本程序采用2级PCA提取特征，最小藕欧距离分类器进行人脸识别，实验数据为orl人脸库。-failed to translate
ORL
- ORL人脸数据集，用于进行人脸识别，有40类人，每类人姿态，表情不同共10张-ORL face data set and used for face recognition, there are 40 kinds of people, each type of gesture, facial expression, a total of 10 different copies
orl
- orl人脸数据库用到深度学习工具箱之前的预处理，即将图像表达成字符串的形式。并将数据库一半分为测试数据，另一半训练数据。给出orl-Pretreat Orl face before using it in deep learning tool box, in the form of the image expressed by the string. Half are divided into test data, and the
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.
]ORL+PCA+SVM-11
- 编写了用户界面程序实现ocr人脸数据集的识别，使用了svm分类器(A user interface program is developed to realize the recognition of OCR face data set, and the SVM classifier is used)
PCA+SVM
- 用于人脸识别，包含了PCA及SVM算法，数据集采用的ORL数据库(face recognition(PCA+SVM))
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.)
ORL 数据集pgm和 bmp格式
- 人脸数据集，包括原始pgm格式和bmp格式。
ORL人脸数据库
- ORL人脸数据库，包含400幅人脸图像(40人， 每人1O幅， 大小为112像素x92像素)(ORL face database, including 400 face images (40 people, 10 for each person, 112 pixels x 92 pixels in size))