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dimen_toolbox
- 最新最强MATLAB降维工具箱，可用于人脸识别，模式识别，机器学习，数据挖掘，图像处理等领域，里面包含的算法有PCA,LDA,KPCA,KLDA,Laplacian，LPP,MDS,NPE,SPE,LLC,CFA,MCML,LM-The latest and greatest dimension reduction MATLAB toolbox can be used for face recognition, pattern recognition, machine learning, dat
face-recognition-LBPPPCA
- 使用LBP和主成分分析法，进行人脸识别的程序，可以获得不错的效果。-The use of LBP and principal component analysis (pca) for face recognition program, can obtain good effect.
PCAPLDA
- PCA+LDA人脸识别，PCA降维到N-C,（N为训练样本数，C为类别数）使得Sw非奇异，主要是解决小样本，数据集为ORL，每类取9（可改）个图片-PCA+LDA recognition, PCA dimensionality reduction to NC, (N is the number of training samples, C is the number of categories) make Sw nonsingular, mainly to resolve the small s
renlian
- 这是基于神经网络的人脸识别，而不是基于PCA的人脸识别。程序可以运行。-This is the face recognition based on neural network, and not the face recognition based on PCA. The program can run.
standardPCA
- PCA算法，用于人脸识别。算法清晰易懂，结构明了。-PCA algorithm for face recognition. Clear and easy to understand algorithms, structure and clear.
FaceRecognitionPCA
- 基于PCA的人脸识别程序，特征提取采用PCA方法，分类采用近邻法进行分类，先要下载人脸数据库做实验-PCA-based face recognition program, using PCA feature extraction method, classification using nearest-neighbor classification, first download the face database to experiment
FisherFace
- FisherFace，完整LDA+PCA人脸识别-FisherFace,based on LDA and PCA
PCAORLs
- 基于pca的人脸识别准确率。使用的是orl人脸库，已包含在内-Face recognition based on the accuracy of pca. Using orl face database has included
PCA_FACE_REC
- pca人脸识别代码，亲测可行，且附有图片-pca face recognition code, pro-test feasible and accompanied by pictures
PCA_based-Face-Recognition-System
- PCA人脸识别实例，在matlab平台下使用，不错的学习资料。-Examples of PCA face recognition in matlab platform, a good learning materials.
pca4
- pca人脸识别 基于kl变换 最近邻分类 识别率达到88.5 - pca face recognition facial identification
pca
- pca主成分分析基础程序,能够有较好的识别率，需要下载人脸库才能运行-Principal component analysis of PCA based program
20140623_OpenCV-PCA-faceRecognition
- 识别图片中的人脸(别人写的代码，本人优化了一下)-Face recognition in pictures (the code written by someone else, I am a bit optimization)
new_pca_svm
- 基于PCA和SVM的人脸识别系统主程序 -Based on PCA and SVM for face recognition system main
FaceRec
- 基于PCA和SVM的人脸识别系统的matlab程序-Chaos-based image encryption and decryption process
face-recognition
- 主成分分析（PCA）方法是人脸识别技术中常用的一种一维特征抽取方法。基于PCA的人脸识别。-Principal component analysis (PCA) method is commonly used in face recognition technology as a one-dimensional feature extraction methods. A face recognition algorithm based on PCA .
PCAofAR
- 利用PCA对AR人脸数据库进行人脸识别，经典的pca算法，书写规范，简洁易懂。-Face recognition on the AR face database by using PCA, PCA algorithm, classical style, simple and easy to understand.
FaceRec
- pca ann 人脸识别源码 vc实现 WriteHuge改为Write-pca ann face recognition. vc source code
snap4
- 基于TI公司生产的DM642开放板设计的，在DM642这个硬件平台上实现了一个经典的基于PCA算法的简单的人脸识别系统，实现了简单的人脸识别。-TI DM642 produced open board design based on the DM642 this hardware platform implements a classic simple algorithm based on PCA face recognition system to achieve a simple recog
face-recognition-system
- 基于PCA和SVM的人脸识别系统，该系统为Matlab源代码编程，利用PCA（主成分分析）和SVM（支持向量机）方法进行训练、识别和测试，人脸识别率为91 。-Based on the PCA and SVM of the face recognition system