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
pca
- ORL-人脸库的pca算法程序。可以测试其人脸识别的时间和准确率
pca
- matlab实现pca算法，基于orl人脸数据库，有很高的识别率
PCA eigenface
- PCA生成eigenface，包含ORL dataset
PCA-code
- 基于主成分分析方法的人脸重构，使用ORL人脸数据库-the face reconstruction based on PCA method
PCA
- 这是自己做的毕业设计的PCA，具有很高的识别率，使用的图像是ORL库-This is the pca,and it has the good recognition!
PCA
- PCA主成分分析用于人脸识别，提取特征值特征向量。有ORL人脸库。-PCA principal component analysis for face recognition, extraction Eigenvalue eigenvector. Have ORL face database.
pca_ann
- face recognition using pca and ann wih training and testing and validation privided for ORL databases -face recognition using pca and ann wih training and testing and validation privided for ORL databases
PCA
- 基于PCA改进实现人脸识别的完整代码,采用ORL人脸库进行训练和测试.-Face Recognition Based on the PCA to improve the achievement of a complete code, ORL face database used for training and testing.
ORL-FACE
- Eigenfaces: PCA tends to find a p-dimensional subspace whose basis vectors correspond to the maximum variance direction in the original image space (p N). We called the new subspace defined by basis vectors “face space”. First, all training
projekt
- Implement two methods face recognition: PCA and LDA for ORL face base
2D-PCA
- FACE RECOGNITION USING K-L TRANSFORM on ORL face database
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
PCA_ORL
- PCA +ORL this code is written by matlab language
41972254PCA_ORL
- 代码是关于主成分分析的人脸识别，使用orl人脸图像集(The code is about principal component analysis of face recognition using ORL face image set)
Face_Recog
- 实现基于PCA算法和ORL数据库的人脸识别识别百分比和识别速度可视化。(Visualization of recognition percentage and speed of recognition)
PCA&2DPCA (1)
- pca和2dpca的MATLAB人脸识别。并且使用orl人脸数据库进行测试(PCA and 2DPCA's MATLAB face recognition. And use the ORL face database to test)
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.)
PCA人脸识别GUIORL+Yale人脸库
- 该系统为基于MATLAB平台的PCA的人脸识别系统，可识别ORL和YALE人脸库，方法实现统一，包括GUI界面。另外可二次开发成摄像头的实时人脸系统，识别出库外人脸，可做成门禁系统，考勤系统，打卡签到系统。实现登记出勤，报警等。 含论文，详细注释。(The system is a PCA face recognition system based on MATLAB platform. It can recognize ORL and yale face database. The metho