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2DPCA_2DLDA.rar
- 利用2DPCA和2DLDA在ORL人脸数据库上做的人脸识别实验，注解详细，适合初学者使用，对理解PCA与LDA有很大的作用。,2DPCA and 2DLDA use in ORL face database for face recognition experiments do, comment in detail, suitable for beginners, on the understanding of PCA and LDA are very useful.
MPCACodes 多线性主成分分析的MATLAB源代码
- 多线性主成分分析的MATLAB源代码 最初用于人脸识别和步态识别 后被扩展到其他应用领域-The codes implement two algorithms: Multilinear Principal Component Analysis (MPCA) and MPCA+LDA.
FaceRecEvaluator
- 人脸识别算法matlab代码，可以实现，如PCA,ICA，SVM,LDA等-Matlab code for face recognition algorithms can be achieved, such as PCA, ICA, the SVM, LDA
pca2D
- 2DPCA用于人脸、步态等图像识别，可先按照行列比例将不规整图像归一化处理，然后进行训练，并且识别，全部中文注释和提示，便于学习和参考。-2DPCA human face, gait, such as image recognition, in accordance with the ranks of the ratio can not structured to deal with the normalized image, and then training, and recognition
LDA_ORL
- 人脸识别程序,基于LDA的线性分析程序,希望大家来-LDA FACE
daima
- （压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat
pcalda
- 包括pca和lda两个文件，先用pca降维后进行lda进行分类，用于人脸识别，实验结果很好。-It includes 2 files pca and lda. After the dimensionality reduction of pca, use lda for classification in face recognition. It has a very good experimental results.
LDAface
- LDA实现人脸特征提取和识别，用matlab编写，和结果分析-A matlab code of LDA for face recognition
LDA_ORL
- 人脸识别中很重要的LDA算法，可作为初学者的参考算法,很有用-A very important LDA face recognition algorithms can be used as a reference algorithm for beginners and useful
ImprovedPCAFaceRecognitionAlgorithm
- 摘要：主成分分析（PCA）的人脸识别算法，以减少的特征向量是涉及到对抽象的特点，改进了主成分分析（一）iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract：In principal component analysis(PCA)algorithms for face recognition，to reduce the influen
LDAforfacerecognitionbasedonimagesegmentation
- 设计了一种基于图像分块的LDA(1inear discriminant an sis)人脸识别方法-A method of LDA for face recognition is presented， based on image segmentation．
PCAFaceRecog
- 基于线性判别的人脸识别，本设计对主成分分析和线性判别两种子空间方法进行了深入研究，包括LDA及其在人脸识别应用的若干问题-Face recognition based on linear discriminant, the design of the principal component analysis and linear discriminant subspace methods are two in-depth study, including the LDA and its Appl
RunFaceRecog
- 基于matlab的人脸识别程序，可以实现简单的人脸识别功能，算法基于LDA（linear discriminant analysis）-Matlab-based face recognition program, you can achieve a simple face recognition algorithm based on LDA (linear discriminant analysis)
example
- 本代码是基于LDA算法的人脸识别算法，这是一个简单的例程-This code is based on LDA algorithm face identification algorithms, this is a simple routines
2DLDA
- 基于LDA的人脸识别程序，很简单的源代码，适合新手学习使用。-LDA-based Face Recognition program
LDAandPCA
- LDA算法和PCA算法对人脸识别的实现的matlab源代码。-LDA and PCA for face recognition
facerecognition
- 基于PCA和LDA算法的人脸识别的对比实验-PCA and LDA based face recognition algorithms of comparative experiments
pr
- 可用于人脸识别的高位数据的直接LDA算法-Face recognition can be used to direct LDA algorithm for high data
PCAPLDA
- 这是一个很好的人脸识别的程序，首先用PCA降维，然后用LDA方法进行分类，用的是ORL人脸库。-This is a good face recognition program, the first PCA dimension reduction, classification, and then using the LDA method, use the ORL face database.
2D-LDA
- LDA是一种线性降维方法，对原有的高维人脸数据集降维，然后识别，具有很好的聚类和识别效果。有详细的说明-LDA is a linear dimensionality reduction method, the original high-dimensional face data set dimensionality reduction, and then identify clustering and identification. Described in detail