搜索资源列表
ORL_face_resource
- 标准的ORL人脸库，供人脸识别编程实验使用。图像无压缩，直接可用。-Standards ORL face database for face recognition experiments using the program. Images without compression, can be used directly.
ORLanotate
- scr ipt to annotate (eye position) the available ORL face database
PCAOK
- PCA人脸识别，在ORL人脸库中有88 的识别率，简单方便-PCA face recognition, in the ORL face database, 88 recognition rate, simple
KPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验. -Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
ModualPCA
- 模块pca, 在人脸识别中进行特征提取，速度效率比PCA要高，基于ORL人脸库上进行试验。-In face recognition module pca feature extraction by speed, efficiency, than pca based on ORL face database on the test.
Desktop
- 读入ORL人脸库的指定数目的人脸前前五张(训练) 输入：nFacesPerPerson --- 每个人需要读入的样本数，默认值为 5 nPerson --- 需要读入的人数，默认为全部 40 个人 bTest --- bool型的参数。默认为0，表示读入训练样本（前5张）；如果为1，表示读入测试样本（后5张）-Read into the ORL face database face before the specified number of five sheets (
kpca
- 运用KPCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器。-KPCA method using ORL face database for face recognition, classification for the nearest neighbor classifier.
KPCA2_gsh
- KPCA的程序，用于人脸识别，在ORL人脸库上实验，效果不错！-code for face recognition based KPCA on ORL face database，the performance is nice！
1DPCA
- 基于主成分分析的人脸识别的方法 在ORL人脸库中运行-Face recognition based on principal component analysis method in the ORL face database is running
2DPCA
- 这是两维2DPCA方法的人脸识别，分享给大家，ORL人脸库的。-This is the method of two-dimensional face recognition 2DPCA to share to you, ORL face database.
2DICA1
- 基于图像人脸识别2DICA，可运行，人脸数据库是ORL，本人写的。-Image-based face recognition 2DICA, can run, face database is the ORL, I write.
gabor-pca
- 本程序是先用gabor小波变换对人脸图像处理，然后在用pca进行降维，最后用svm分类器进行多分类分类识别，包扩完整的orl人脸库，需注意的是，svm工具箱是用的libsvm工具箱，运行前先配置好libsvm。版本号：libsvm-mat-2[1].89-3[FarutoUltimate3.0]-This procedure is to use the human face gabor wavelet transform image processing, and then to reduce
2DPCA
- 在ORL或Yale标准人脸数据库上完成模式识别任务。用2DPCA方法完成人脸检测实验。-Standards in the ORL face database or Yale to complete the pattern recognition task. Complete with face detection method 2DPCA experiment.
Face-recognition
- 把黎曼流形用于人脸识别，人脸库是ORL和YALE，希望对大家有帮助。-The manifold for face recognition, is the ORL face database and YALE, we want to help.
Karhunen-Loeve-Based
- Matlab下开源的人脸识别经典KL算法，通过200幅裁剪过的人脸图像计算出Eigenvalues和Eigenvectors。本人亲自试用代码可行，只需修改下文件路径即可，值得学习。另文件包含ORL数据库人脸图像400张，方便大家参考试用。-Matlab source for Face Recognition under the classical KL algorithm, cut off by 200 to calculate Eigenvalues face i
KPCAPORL
- 是一个很好的用于人脸识别的程序，人脸数据库是ORL，用的是KPCA方法，可以直接运行，分类识别率较高。-Is a good procedure for face recognition, face database ORL, with the KPCA method, you can run directly on classification of higher recognition rate.
PCAPLDA
- 这是一个很好的人脸识别的程序，首先用PCA降维，然后用LDA方法进行分类，用的是ORL人脸库。-This is a good face recognition program, the first PCA dimension reduction, classification, and then using the LDA method, use the ORL face database.
PCA-matlab
- PCA人脸识别的MATLAB实现，包括了ORL人脸数据库。-PCA face recognition in MATLAB, including the ORL face database.
dct_nnc
- 结合DCT和NNC进行人脸识别。先利用DCT提取特征，然后利用最近邻分类器分类，在ORL人脸库上测试效果不错。-The combination of DCT and NNC for face recognition. First DCT Feature Extraction, and then use the nearest neighbor classifiers, good test results on the ORL face database.
dct_bp
- 结合DCT和BP神经网络进行人脸识别。先利用DCT提取特征，然后利用BP神经网络分类，在ORL人脸库上测试效果不错。-The combination of DCT and BP neural network for face recognition. First DCT Feature Extraction, and then use the BP neural network classifier, a good test results on the ORL face database.