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机遇PCA的人脸识别，包括图像读取，PCA降维以及机遇简单贝叶斯分类,PCA Face Recognition opportunities, including the image read, PCA dimensionality reduction as well as the opportunity for easy Bayesian Classifier
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人脸识别中2DLDA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition 2DLDA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
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人脸识别中2DPCA算法的matlab程序，使用最近邻分类器进行识别。-Face Recognition 2DPCA algorithm matlab procedures, the use of nearest neighbor classifier to identify.
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人脸识别中PCA算法的matlab程序，使用最近邻分类器进行识别。-PCA Face Recognition Algorithm matlab procedures, the use of nearest neighbor classifier to identify.
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人脸识别时候需要各种特征提取，该文件时人眼睛的 分类器，可直接用于特征提取中-When face recognition requires a variety of feature extraction, human eye when the document classifier, can be directly used for feature extraction
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此文的目的有三个：第一，当地连续均值量化变换特征是提出照明和传感器敏感操作在目标识别上。其次，注册稀疏Winnows网络分割，提出了加快原分类。最后，特点和分类相结合对于正面人脸检测任务。检测结果列
为MIT + CMU系统和BioID数据库。关于这人脸检测器，接收器操作特征曲线BioID数据库产生最好的结果公布。对于结果麻省理工学院的中央结算系统+数据库相当于国家的最先进的脸探测器。一个人脸检测算法的MATLAB版本可以从http://www.mathworks.com/matlabce
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特征提取使用PCA方法的人脸识别
使用欧几里得距离分类-Feature extraction method for face recognition using PCA with Euclidean distance classifier
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matlab图像特征识别。分类器的训练方法。很好的学习资料。如何用OpenCV训练自己的分类器。内含人脸库共训练器使用-matlab image feature recognition. Classifier training methods. Good learning materials. How to use OpenCV train their own classification. Training face database containing a total of uses
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采用Haar分类器进行人脸识别的VC软件，给出源代码了-Haar classifier for face recognition using the VC software, source code is given
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采用PCA对人脸特征进行抽取，用SVM多累分类器对人脸进行识别，有操作界面-Using PCA for facial feature extraction, and more tired with the SVM classifier for face identification, a user interface
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用于模式识别的人脸识别方法，特征提取以及分类器改进-Face recognition method for pattern recognition, feature extraction and classifier improvement
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一些国外人脸识别的测试集，可以用在分类器中。-Some foreign face recognition of the test set, can be used in classifier.
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1_On the Dimensionality Reduction for Sparse Representation based
Face Recognition
2_Fingerprint Pore Matching based on Sparse Representation
3_Microaneurysm (MA) Detection via Sparse Representation Classifier with MA and
Non-MA Dictionary
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fisher准则的pca人脸识别程序example: 演示程序
creatData:生成数据
creatTrainLabelMat:生成数据标签
LDA:提取fisherface
knnRecognition:knn分类器
knnsearch:knn搜索-Fisher criterion example: face recognition program PCA demonstration program
CreatData: generat
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基于LDA线性辨别分析的人脸识别算法，采用KNN分类器，可直接运行，自带数据库，识别率有88 。-LDA face recognition algorithm based on linear discriminant analysis, using KNN classifier, can be directly run, comes with a , the recognition rate of 88 .
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这是一个SVM分类器，可以实现对人脸的识别，里面有数据库。用的时候要先添加路径。-This is a SVM classifier, can be achieved on the face recognition, which has a . Use the time to add the path.
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主要是利用Haar分类器方法进行人脸检测，在程序中可以做到人脸识别，和人脸检测，即可以检测到人脸，识别出人脸。-Mainly using Haar classifier for face detection, in the program can do face recognition, and face detection, which can detect the face, identify the face
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实现人脸识别，分类器用svm,功能非常好，改名易于理解，适合初学者(The realization of face recognition, the classifier uses SVM, the function is very good, the Rename is easy to understand, suitable for the beginner.)
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