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adaboost+knn+lbp 人脸识别代码 经典算法-adaboost+knn+lbp face recognition code classical algorithm
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5-fold cross valication for Face recognition using PCA, SVM and KNN.
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openCV-C++代码,用PCA算法进行人脸主成分提取,并且用kNN算法进行实时表情识别。程序可以自己建立数据库并且进行识别,非常好用!附课程的作业报告。-openCV-C++ code, using PCA algorithm for face principal component extraction and real-time facial expression recognition algorithm with kNN. Program can create their own
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PCA主成分分析,采用KL投影和SVD分解提取人脸特征向量,最后采用最近邻判别法计算识别率。-Face recognition based on PCA. KL projection and SVD are used to extract face eigenvectors. Recognition rate is calculated by k nearest neighbors(KNN) method.
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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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可以demo的KNN分类器,对模式识别十分重要的作用,有着较好的分类效果,可以帮助新手更好的理解KNN原理,对人脸识别有着很好的演示作用。-Can demo KNN classifier, the pattern recognition is an important role, has a good classification effect, can help beginners a better understanding of KNN principle, has a very good
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可以分别设置度量距离的KNN分类器,有欧式和马氏距离。对模式识别十分重要的作用,有着较好的分类效果,可以帮助新手更好的理解KNN原理,对人脸识别有着很好的演示作用。-Distance can be set respectively KNN classifier, style and markov distance. For pattern recognition is an important role, has a good classification effect, can help be
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可以分别介绍度量距离的KNN分类器英文论文,有欧式和马氏距离。对模式识别十分重要的作用,可以帮助新手更好的理解KNN原理,对人脸识别有着很好的演示作用。-KNN classifier can respectively introduces measure distance English papers, style and markov distance. For pattern recognition is an important role, can help beginners a bet
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可以分别介绍MFA,又名边界Fisher分析。对模式识别十分重要的作用,可以帮助新手更好的理解KNN原理,对人脸识别有着很好的演示作用。-Can introduce MFA respectively, also known as boundary Fisher analysis. For pattern recognition is an important role, can help beginners a better understanding of KNN principle, has
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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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基于LDA和KNN的人脸识别MATLAB程序-Face recognition KNN program based on LDA and MATLAB
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使用了两种方法实现人脸识别:hog+svm,KNN(Two methods are used to implement face recognition: hog+svm, KNN)
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利用KNN分类器在FERET人脸库上进行单样本人脸识别(Single sample face recognition on FERET face database using KNN classifier)
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局部二值模式LBP+KNN分类方法人脸识别源代码,,内涵数据库,可运行(Local two value pattern LBP+KNN classification method, face recognition source code, connotation database, can be run)
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