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是一个应用matlab编写的基于pca读取人脸的人脸识别和人脸检测软件，是一个非常不错的人脸检测识别软件。希望对大家有用-Matlab is an application prepared by the pca read on the face and face recognition face detection software, is a very good face detection recognition software. We hope to useful
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（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
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在图像处理、人脸识别中、经常要读入已知的矩阵进行处理，这里以PCA为例。-In image processing, face recognition, often to read the known matrix processed by PCA as an example here.
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人脸表情识别是模式识别领域中一个重要的研究方向。人脸表情识别包括：从背景图像中检测人脸、图像采集、对人脸图像进行预处理、PCA提取表情特征、表情识别。-Face recognition is an important research direction in the field of pattern recognition. Face recognition is made up of the following parts: face detection from the backgrou
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this code use to to make recognition for face using PCA+LDA by opencv
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通过matlab编程，应用pca算法，实现人脸识别功能 -By Matlab programming,to achieve face recognition.
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这是一个Matlab编写的基于PCA的人脸识别分类算法，对FERET数据库进行了分类。-This is a Matlab prepared by the PCA based face recognition algorithm, the FERET database are classified.
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非常不错的人脸识别程序，基于PCA特征，附带测试和训练样本，编译通过且附带注释。-Very good face recognition program, based on the PCA feature included with the test and training samples, compiled by and annotated.
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这是一个Matlab编写的基于PCA的人脸识别分类算法.-This is a Matlab prepared by the PCA face recognition classification algorithm.
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基于opencv的C++编写的利用haar特征人脸检测pca人脸识别的程序和相关文件。-Based on the opencv C++ prepared by the use haar feature face detection pca face recognition programs and associated documentation.
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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.
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用PCA和LDA的方法进行人脸识别，有详细的注释和测试训练样本-By PCA and LDA method for face recognition
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Face Recognition Using PCA Classifier by extracting DTCWT features
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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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利用pca法对人脸进行主成分提取，并通过编程实现人脸识别-Pca method utilizing human face principal component extraction and face recognition by programming
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Authentication is a significant issue in system control in computer based communication. Human face recognition is an important branch of biometric verification
and has been widely used in many applications, such as video monitor system, human-comp
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Gabor小波变换与PCA的人脸识别代码，采用波束成形技术的BER计算，现代信号处理中谱估计在matlab中的使用。- Gabor wavelet transform and PCA face recognition code, By applying the beam forming technology of BER Modern signal processing used in the spectral estimation in matlab.
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完整的PCA 人脸识别的应用包括几个步骤：人脸图像预处理；读入人脸库，训练形成
特征子空间；把训练图像和测试图像投影到上一步骤中得到的子空间上；选择一定
的距离函数进行识别-We present an approach to the detection and
identification of human faces and describe a working,
near-real-time face recognition system which
tracks a s
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基于PCA的人脸识别工程，能够使用自己训练的人脸库进行识别(The face recognition project based on PCA can be identified using the face library trained by yourself)
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FPGA代做，通过matlab实现PCA人脸识别算法，并计算识别率(n the FPGA generation, the PCA face recognition algorithm is realized by MATLAB and the recognition rate is calculated.)
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