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Description: 使用KL变换和主分量分析的人脸识别小程序，使用MATLAB-KL transform and use PCA Face Recognition small, the use of MATLAB
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Size: 1936 |
Author: 吴语 |
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Description: The person face distinguishes the PCA code, MATLAB writes. ,matlab-The person face distinguishes the PCA code , MATLAB writes. , Matlab
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Size: 6745 |
Author: 李佳 |
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Description: 人脸检测的方法很多，kl是其中比较有效的一种。本代码主要是使用pca的方法进行人脸检测，可以检测出人脸的大小位置，数目，大小-Face Detection many means kl is a more effective. The code is the use of the method pca Face Detection can detect the size face location, number, size
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Size: 2358 |
Author: wutonghai |
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Description: 使用KL变换和主分量分析的人脸识别小程序，使用MATLAB-KL transform and use PCA Face Recognition small, the use of MATLAB
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Size: 2048 |
Author: 吴语 |
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Description: The person face distinguishes the PCA code, MATLAB writes. ,matlab-The person face distinguishes the PCA code , MATLAB writes. , Matlab
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Size: 6144 |
Author: 李佳 |
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Description: 图像处理领域最新的K-L变换后求主成分的程序。matlab文件。-image processing latest K-L transform PCA for the procedure. Matlab document.
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Size: 2048 |
Author: 宋争鸣 |
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Description: 人脸检测的方法很多，kl是其中比较有效的一种。本代码主要是使用pca的方法进行人脸检测，可以检测出人脸的大小位置，数目，大小-Face Detection many means kl is a more effective. The code is the use of the method pca Face Detection can detect the size face location, number, size
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Size: 2048 |
Author: wutonghai |
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Description: （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象；
（2）将所有子图象按列相接变成一个81维的行向量；
（3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量；
（4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。
（5）求出所有子块的特征向量。
-(1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.
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Size: 64512 |
Author: ly |
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Description: k-l和PCA算法在人脸识别中的具体实现(MATLAB)-kl and PCA Face Recognition Algorithm in the concrete realization of (MATLAB)
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Size: 4096 |
Author: xyl |
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Description: 人脸识别的matlab代码，本征脸（ eigenface ）方法是子空间人脸识别方法的典型代表。该方法基于一种部分的K-L 变换，或者称为主成分分析（ PCA ）-Matlab code for face recognition, eigenface (eigenface) sub-space method is a typical representative of face recognition methods. The method is based on a part of the KL transform, or known as principal component analysis (PCA)
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Size: 1024 |
Author: 李英豪 |
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Description: 主成分分析方法（PCA），PCA算法的理论依据是K-L变换，通过一定的性能目标来寻找线性变换W，实现对高维数据的降维。-Principal component analysis (PCA), PCA algorithm is based on the theory of KL transform, through a certain performance targets to find the linear transformation W, the realization of high-dimensional data, dimensionality reduction.
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Size: 1024 |
Author: 李伟 |
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Description: 关于主成份分析的vc++源码，注释详细，以KL变换为基础，使特征将维。-Principal component analysis on the vc++ Source, comments, detail, based on KL transform, so that will be characterized by Victoria.
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Size: 242688 |
Author: 陈平 |
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Description: 这是基于PCA的人脸识别，用MATLAB编写，包含了K-L变换，奇异值分解等方法，且采用了最小距离分类器-This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier
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Size: 3072 |
Author: pan |
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Description: 主成分分析代码， 可以用于图像压缩等等，也叫PCAH或者KL变换-PCA or K_L transfer
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Size: 1024 |
Author: 周峰 |
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Description: 详细分析的kl变换，深入理解PCA的算法过程，结合了人脸识别-Kl detailed analysis of the transformation, in-depth understanding of the process of PCA algorithm, a combination of face recognition
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Size: 978944 |
Author: 王林 |
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Description: matlab实现的K-L变换实现主成分分析-matlab implementation of KL transform PCA
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Size: 2048 |
Author: 郭鹏宇 |
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Description: PCA用于图像降维，主要利用KL变换，将图像映射到一个高维空间-PCA for image dimensionality reduction, the main advantage of KL transform, the image is mapped to a high-dimensional space
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Size: 2048 |
Author: zl |
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Description: 主分量分析方法，用一组维数为数不多的特征尽可能精确地表示样本的特征，通常采用训练样本总体协方差矩阵的特征向量系作为展开基(即K-L坐标轴)-Principal component analysis, said the characteristics of the samples as accurately as possible using one of the few characteristics of a group of dimension, usually the overall training sample covariance matrix of the Eigenvector as expand the base (ie, the KL axis)
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Size: 2048 |
Author: yi |
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Description: 基于PCA的人脸识别 Matlab代码 两种方法 KL 和kernel-PCA-based face recognition Matlab code
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Size: 1024 |
Author: yy |
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Description: 高斯白噪声的魏格纳渐进谱分布，用kl散度计算高斯白到理论近似的其魏格纳渐进谱分布-wgn‘s wingerna
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Size: 1024 |
Author: Shuyirong |
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