搜索资源列表
PCA_ORL
- Matlab环境下，实现用PCA方法提取EigenFace,之后通过SVM方法对人脸图像进行分类识别。-Face recognition via PCA and SVM method
face-recognition
- 一个有关人脸识别的程序，是PCA和SVM的，可以运行-a code about face recognition
ORLPPCAPSVM
- 一个完整的人脸识别算法实验，快速pca+svm算法，里面还带有orl人脸数据库，并且代码还有相应注释，大小有几十m，是一个很好的人脸实验-A complete face recognition algorithm experiments, fast pca+svm algorithm, which also comes with orl face database, and the code as well as the corresponding notes, there are dozens
PCAface-recognitionGUI
- 利用支持向量机和PCA技术设计人脸识别系统，并作出GUI界面便于理解程序，同时增加可视化。并附带ORL人脸库-Face recognition system with GUI is easy to understand,designed based on SVM and PCA technologies. The file also has ORL face .
face
- Matlab PCA+SVM人脸识别,通过PCA和SVM算法达到人脸识别的功能。-Matlab PCA+SVM，To identify people s face.
FaceRec
- 人脸识别 PCA和SVM 人脸识别算法，人脸库pgm文件-This fold is a PCA and SVM face recoginise
svm_matlab_facerecognition
- 利用PCA算法进行特征提取和数据降维，再用SVM算法进行人脸识别的程序，里面有人脸数据库！-Use PCA algorithm for feature extraction and data reduction, and then SVM algorithm recognition program, which was face !
All-Files
- 用MATLAB实现基于主成分分析（PCA）和支持向量机（SVM）的人脸识别系统，打开运行FR_GUI函数即可，我放在E盘中的，注意一下路径，当前识别率一般，也欢迎交流指正1127851044@qq.com，谢谢。-Using MATLAB analysis (PCA) based on principal component analysis and support vector machine (SVM) face recognition system to open the run FR_G
gangbun
- 阐述了负荷预测的应用研究,Gabor小波变换与PCA的人脸识别代码，包括最小二乘法、SVM、神经网络、1_k近邻法。- It describes the application of load forecasting, Gabor wavelet transform and PCA face recognition code, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
]ORL+PCA+SVM-11
- 编写了用户界面程序实现ocr人脸数据集的识别，使用了svm分类器(A user interface program is developed to realize the recognition of OCR face data set, and the SVM classifier is used)
基于主分量的人脸重构
- 本实验是基于主成分分析法（PCA）在人脸识别中的应用，采用SVM分类器在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真。
(PCA+SVM)人脸识别
- 人脸识别，降维 加分类，主成分分析降维，支持向量机分类(Face recognition, principal component analysis reduced Vega classification, dimension reduction, support vector machine classification)
PCA+SVM
- 采用经典的ORL人脸数据集，利用PCA进行进行降维，然后用SVM进行数据集的分类和训练。上传文件内包含libSVM3.2安装包(The classical ORL face dataset is used for dimension reduction by PCA, and then SVM is used to classify and train the dataset.)
贝叶斯人脸识别
- Pattern-Recognition-and-Machine-Learning-master,项目包括使用贝叶斯分类器的字符识别，基于GMM的图像分割，使用PCA的人脸识别和具有径向基函数的多类SVM分类器(Pattern-Recognition-and-Machine-Learning-master)
PCA+SVM的人脸识别
- 使用pca和svm的方法对人脸进行识别和检测，最终达到人脸识别的功能(Face recognition and detection using PCA and SVM methods, and finally achieve the function of face recognition)
基于PCA和SVM的人脸识别系统
- 先通过图像处理提取人脸的各个特征，然后对人脸通过PCA进行降维，然后通过SVM进行人脸识别(Firstly, the features of human face are extracted by image processing, then the dimension of human face is reduced by PCA, and then the face is recognized by SVM)