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7下载：
MATLAB环境下编的人脸检测和识别算法，人脸识别部分采用的pca算法，另外包括一个人机界面，直接运行facedec程序即可运行-MATLAB environment, compiled by face detection and recognition algorithms, face recognition pca algorithm is used in some of the other, including a man-machine interface, programs can b
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PCA代码
主成分分析代码
适合初学人脸识别的朋友学习使用-PCA principal component analysis source code suitable for beginner learning to use face recognition friend
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PCA主成分分析用于人脸识别，提取特征值特征向量。有ORL人脸库。-PCA principal component analysis for face recognition, extraction Eigenvalue eigenvector. Have ORL face database.
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二维的LDA+PCA人脸识别matlab程序，都可以直接使用。-Two-dimensional LDA+ PCA face recognition matlab procedures can be used directly.
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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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VC编写的基于PCA和LBP的人脸识别程序-VC prepared by the PCA and the LBP-based face recognition program
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通过使用LLE PCA两种方法相结合的思路，提高人脸识别的分别率-LLE PCA by using the idea of combining two methods to improve face recognition rate difference
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摘要：主成分分析（PCA）的人脸识别算法，以减少的特征向量是涉及到对抽象的特点，改进了主成分分析（一）iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract：In principal component analysis(PCA)algorithms for face recognition，to reduce the influen
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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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模块pca, 在人脸识别中进行特征提取，速度效率比PCA要高，基于ORL人脸库上进行试验。-In face recognition module pca feature extraction by speed, efficiency, than pca based on ORL face database on the test.
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set of action on image , rotation, edge detection,de-noise by DCT,and face recognition by PCA
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The purpose of this work is to identify a given face image using main features of face. The dimensionality of face image is reduced by the Principal component analysis (PCA, using eigenfaces method) and the recognition is done by the Back propagation
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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)
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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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利用Delphi编程实现的基于PCA的人脸识别系统，里面有详尽的源代码及可执行文件，有兴趣可以参考-PCA-based face recognition systems which is by Delphi programming
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robust PCA的应用实例 很有代表性的方法-this paper proposed a approach of robust
face recognition by exploiting the sparse error component obtained by RPCA.
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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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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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通过PCA 算法提取特征脸 在人脸训练库中获取每张人脸的特征脸，在测试集中寻找与训练的人脸相似的人脸。有可视化的GUI界面。(The feature face is extracted by PCA algorithm to get the face of each face in the face training library, and the face which is similar to the trained face is found in the test set. There
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