搜索资源列表
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matlab source code eigen face for face recognition,can detect pose and expression,matlab source code eigen face for face recognition,can detect pose and expression
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LPP是局部保局投影方法，这里给出了matlab的源码-lpp code for face recognition
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source code for getting fuzzy membership function for face recognition
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人脸识别代码：图像工程中经常用到的一个实用算法。这里是matlab的实现。-Face recognition code: Image Engineering frequently used for a practical algorithm. Here is the realization of matlab.
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LDA 人脸识别的 matlab 源程序 大家看看 可以用的-LDA face recognition matlab source code you can look at the
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Matlab code for face recognition eigen and fischer faces
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This code is the implementation of Mahalnobis SOM algorithm published in this article.
Face recognition under varying illumination using Mahalanobis self-organizing map
S Aly, N Tsuruta, RI Taniguchi - Artificial Life and Robotics, 2008 - Springe
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这个代码是基于PCA的人脸识别，他显现了其强大的功能。-This code is based on PCA for face recognition, he revealed his powerful functions.
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the code is for face recognition in color images.
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基于LDA的人脸识别源代码，可以很方便的实现人脸识别-LDA-based face recognition source code, can easily realize face recognition
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source code for face recognition using ica .a usefull code.
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code for face recognition using ica (independent component analysis) .a good code sor reaserch.
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this code implements a svm face recognition
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1.GeometricContext文件是完成图片中几何方向目标分类。
参考文献《Automatic Photo Pop-up》Hoiem 2005
2 GrabCut文件是完成图像中目标交互式分割
参考文献《“GrabCut” — Interactive Foreground Extraction using Iterated Graph Cuts》
C. Rother 2004
3 HOG文件是自己编写的根据HOG特征检测行人的matlab代码
4 虹膜识别程序
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ICA人脸识别算法实例matlab源码.txt-ICA face recognition matlab source code examples. Txt
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基于PCA的人脸识别技术代码，与其他技术比较起来有很大的优点-PCA-based face recognition code, and other technologies have great advantages compared to
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用于人脸识别的LDA和PCA特征提取方法的Matlab代码，结合两个程序可以实现PCA+LDA特征提取方法。-LDA and PCA is a common methods of feature selection,These are their source code using matlab.
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matlab code for face recognition
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face recognition code with example
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性能比较好的LDA人脸识别代码一份，用lda对人脸进行识别(LDA face recognition code with good performance and recognition of human face with LDA)
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