搜索资源列表
K-L变换类
- KL变换是图像处理的常规算法，文件里四该变换的类-KL transform is the conventional image processing algorithms, the paper four categories Transform
CheckFace
- 根据给定的人脸库，首先确定出每幅图象的人脸部分，然后基于K-L变换给出所有图象的特征脸，最后任意给出一幅人脸，将其从已有的人脸库中识别出来。-According to the face basement, first identified each piece of the human face images, Then, based on the K-L transform image given all the characteristics of the face, given a fin
pcaklm
- 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.
K-LTransmcodes
- k-l变换的人脸识别 不过是matlab代码-k-l Transform the face recognition is Matlab code
face123[matlab]
- 在本设计中源于将图像看作随机场的实例,同时从信号处理的观点出发，对图像进行统计描述。通过K-L变换降低人脸特征的维数，提取人脸图像的代数特征，并排序。这样，利用代数特征的比较，可从人脸库中识别一幅人脸。-in the design of the images from the airport as with the examples, from the viewpoint of signal processing, right image descr iptive statistics. Thr
Karhunen-Loeve_Decomposition_for_Face_Recognition.
- K-L的人脸识别 用过多次了,大家试试吧 -K-L Face Recognition used many times, we try it
KarhunenLoeve
- 人脸识别领域的K-L变换（Eigenface）的matlab源码-KL transform the field of face recognition (Eigenface) of matlab source
KLT
- 模式识别k-means法与k-l变换做的特征提取-K-means pattern recognition method and kl transform to do the feature extraction
Edgedetection
- 在matlab环境下，结合c语言，给出了常用三种图像处理的代码：灰度图像边缘检测，K-L变换，图像的统计直方图。-In the matlab environment, the combination of c language, given the commonly used three types of image processing code: gray-scale image edge detection, KL transform, the image histogram statis
KarhunenLoeve1
- 这是一个用K-L变换实现的人脸识别代码(matlab),挺不错的.-err
fac
- 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 K
TraditionalPCA
- 利用传统PCA方法进行人脸识别的算法，人脸库为Yale人脸库，主成分分析方法（PCA）是基于K-L变换的统计学方法，K-L变换是数据压缩领域里的一种最优正交变换。-err
PCA
- 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-d
KL2
- 本程序利用K-L变换已经K-L变换的最优压缩，建立分类器，并选择投影方向，画出投影过后的效果-This procedure has been the use of KL transform KL transform optimal compression, the establishment of classifier, and choose the direction of projection, drawn after the effect of projection
work_for_pattern_recognition
- 通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
K-L
- K-L变换在人脸识别中的应用程序，效果不错-KL transform in face recognition applications, good results
KL100
- K-L特征压缩器的原理是利用K-L变换的优良性质,即K-L变换可消除原向量各分量间的相关性。-KL compressor characteristic is the use of KL transform the principle of good nature, that the original vector of KL Transform to eliminate the correlation between the various components.
face-detection-for-K-L-transform
- 基于K-L变换的人脸识别技术主要思想是：提取输入人脸图像矩阵的特征向量，并与图像数据库中样本特征的向量求欧氏距离，距离小于阈值时便认为识别成功。本程序即为利用K-L原理实现人脸检测的实例。-The main idea of the face recognition technology based on KL transform is: extract the matrix of the input face image feature vectors and Euc
K-L-change
- 不考虑类别信息对整个样本集进行K-L变换 利用类平均向量提取判别信息-Does not consider the category information for the entire sample set KL transform the use of mean vector to extract discriminant information
K-L-transform
- 包括K-L变换以及演讲PPT，阐述了K-L的原理以及应用，并在人脸数据库中进行搜索匹配-Including the KL transform and presentations PPT, KL on the principles and application, and to search the database to match the face