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Matlab face recognition project
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matlab实现人脸识别系统！给定一张人脸图像，能在一堆图片中识别出来！-matlab to achieve face recognition system! Given a human face images, can be identified in a pile in the picture!
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matlab 人脸识别的源文件，。-matlab m files
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人脸识别的matlab程序，bp神经网络的应用-Face recognition matlab program, bp neural network applications
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在ORL或Yale标准人脸数据库上完成模式识别任务。用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验.
-Or Yale in the ORL face database, complete the standard pattern recognition tasks. With the PCA and kernel-based PCA (KPCA) method to complete the reconstruction of face image and reco
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这里面有三个：k-L人脸识别的代码（可以直接用，qq：285494355），以及2D-LDA人脸识别，以及一个图像分割的程序。-K-L and 2D-LDA face recognition ,it s useful and can be used directly.
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基于haar-like训练的人脸识别，在matlab中实现的，希望对大家有用。-Training based on haar-like face recognition, implemented in matlab, we want to be useful.
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用matlab编写的基于人脸识别系统,文献可参考"Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection."已经测试过程序可正常运行没有问题-Prepared using matlab face recognition system based on the literature may refer to " Eigenfaces vs. Fisherfaces: Recognition
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此程序主要是检测黄色区域（用于人脸识别）
所用摄像头为USB320X240RGB的
原理：
先利用颜色找出符合条件的大面积黄
再利用模板闭运算补充连通与
再利用XY轴上连同域的寻找
标出人脸-The procedure is to detect the yellow area (for recognition) camera for USB320X240RGB used the principle: first, to identify qualified by the
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提出了一种新的基于图像分块重构和线性判别分析相融合的方法，主要用于人脸识别。该方法通过计算两幅图像之间图
像块的重构均值误差，运用线性判别分析求出两幅图像降维后的欧式距离，融合重构误差和欧式距离计算这两幅图像之间的差别
程度。-A new block-based image reconstruction and the integration of linear discriminant analysis method is mainly used for face recognitio
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运用KPCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器。-KPCA method using ORL face database for face recognition, classification for the nearest neighbor classifier.
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Implement two methods face recognition: PCA and LDA for ORL face base
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本程序在MATLAB中调用了OpenCV的AdaBoost检测器实现了人脸检测，还可用来学习MATLAB中调用C/C++代码的方法，研究人脸识别和希望熟悉MATLAB的同志们不妨试一试。-This procedure is called in MATLAB, OpenCV the AdaBoost detector implemented face detection, can also be used to learn MATLAB to call C/C++ code used to stu
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program on image processing based on MATLAB for biometric recognition
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利用叠加和梯度值来分别进行人脸识别，正确率分别为40 和96 。Matlab 代码。-Superposition and the gradient values, respectively, face recognition, the correct rates were 40 and 96 . Matlab code.
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FAST face-recognition code for matlab
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基于主成分分析实现对特征脸的人脸识别，训练，输出识别率等。-Based on principal component analysis to achieve the characteristics of face recognition, training, recognition rate of the output.
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基于PCA的人脸识别代码，识别率可达88 -PCA-based face recognition code, the recognition rate up to 88
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Best solution for Matlab face recognition
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Best code for matlab face recognition-Best code for matlab face recognition!!!!
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