搜索资源列表
ImgProc1
- 基于PCA IDA LDA KPCA的人脸识别] -IDA LDA KPCA Face Recognition]
PCA_SVM.rar
- 此方法采用经典的PCA对人脸图像进行特征提取，用libsvm库函数的SVM分类器对图像分类。,This method uses the classical PCA on the face image feature extraction, with the libsvm library function of SVM classifier for image classification.
pcalda
- 人脸识别的源代码 经典的pca和lda人脸识别 实现的成功率有待改进 好的可以达到70 -Face recognition source code for pca and lda classic face recognition could be improved to achieve a good success rate can reach 70
pca_knn
- 本方法采用pca进行特征提取，knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
face_recognition_PCAPBPNN
- The purpose of this work is to identify a given face image using main features of face. The dimensionality of face image is reduced by the Principal component analysis (PCA, using eigenfaces method) and the recognition is done by the Back propagation
PCA
- 实现了在Yale数据库和ORL数据库上的人脸识别，直接可以运行-Implemented the face recogniaztion in ORL database and Yale database,it can run directly.
PCA_based-Face-Recognition-System
- 使用传统的PCA主成分法，进行人脸的识别与匹配，源程序为matlab版，本程序改写，已经将内置函数进行了替换-Use the traditional method of PCA components, face recognition and matching, source code for matlab version, the program rewritten, and has built-in functions to replace
PCA
- C语言源程序，PCA人脸识别算法，主要是eig特征分量选取的源程序和欧式空间匹配程序、特征脸提取程序-C language source code, PCA face recognition algorithm, eig characteristic component selected source and match the European space program, eigenface extraction procedures
facerecog
- Face Recognition Using PCA
PCA
- 主成分分析 （ Principal Component Analysis ， PCA ）；特征脸；opencv-Principal component analysis (Principal Component Analysis, PCA) characteristic face opencv
Yale_face-recognition_pca
- 使用yale人脸数据库，用PCA降维方法来对人脸数据进行分类的MATLAB代码，附有人脸图片-Yale face , using PCA dimension reduction method to classify data of face of MATLAB code, and comes with a human face images
pca
- PCA算法的人脸识别代码，主要实现特征脸的提取和人脸的识别。-PCA face recognition algorithm code, the main achievement of face recognition feature extraction and face.