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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-SIFT
- 用matlab实现的pca-sift代码,基于2004年的一篇CVPR论文实现-Pca-sift achieved using matlab code, based on a CVPR papers in 2004 to achieve
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
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