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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
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
PCA
- PCA Principle component analysis code
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.
PCA
- 对图像的特征向量进行降维处理，降低代码复杂性，提高目标检测准确率-The dimension of feature vectors extracted image can be reduced by the code. Also, the code complexity is decreased, accompanying with the improved precision of object detection.