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2DLDAwiththeSVM-basedfacerecognitionalgorithm
- 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机 (SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽 略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸 识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem
lda
- This code is LDA base face recognition programme. It reads nots faces from ORL database a
projekt
- Implement two methods face recognition: PCA and LDA for ORL face base
RunFaceRecog_vV
- This is a Simple Code for Face Recognition using PCA + LDA Approach. I hve write this code for ORL Database containing 400 images of 40 persons. I have used Eigenface Algorithm for Face Recognition. Its a Very Simple Code you can easily understand it
Mat
- face recognition with pca-lda and orl database
orl_LDA
- orl人脸库的LDA算法，可以进行人脸识别-the orl face library LDA algorithm for face recognition
LDA算法实现人脸识别
- 自己撰写的LDA算法实现简单的人脸识别，用ORL库来做测试。
bagging-NLDA-and-RLDA
- 利用matlab实现NLDA人脸识别算法，更详细的random sampling LDA, bagging NLDA和整合LDA算子利用majority vote 和sum rule的matlab 代码，人脸库使用ORL库或者XM2VTS库，地址：http://shop.zbj.com/14563255/sid-1213623.html- matlab codes for NLDA face detection, the face s are ORL. More details about r