搜索资源列表
PCA-pro
- 整个程序是基于Yale人脸数据库的PCA算法。算法主要分成三个部分。第一个部分是选择了每类图片的八张进行训练，形成基空间。第二部分是画图，主要是怎么画出特征脸，就是那个看着比较诡异的东西。可以修改数据，程序中提供了100个特征值和16个特征值的情况示例。最后一部分就是测试部分，检测命中率。效果很理想。-The whole process is based on the Yale face database PCA algorithm. Algorithm is divided into thre
EigenFisherFace[1]
- 特征脸识别的经典算法，是比较详细比较基础的一个东西值得借鉴和学习-Face Recognition feature classical algorithm is based on a more detailed comparison of what is worth learning and learning
Mutilface
- 这是一个多重脸识别的程序，代码采用k_L变换和奇异值分解，利用协方差矩阵获得人脸图像的特征脸。-This is a multi-face recognition program, the code used k_L transform and singular value decomposition, the covariance matrix can be obtained by using the face image features the face.
EigenFace_Expression_Recognition
- 用特征脸的方法来进行表情特征的提取，进而实现表情识别，对六种基本表情进行识别-With the characteristic expression of the face approach to feature extraction, thus achieving expression recognition, identification of the six basic facial expressions
Face-Recognition(PCA)
- 使用PCA和特征脸的方法进行的人脸识别系统。-PCA face recognition
EigenTransform-a-Recognition
- 特征脸法识别画像 先将画像合成 然后使用特征脸法进行识别-eigenface testing
pca
- pca进行人脸识别的原理和代码，特征脸方法，图像重建-PCA for face recognition principle and code, Eigenfaces method, image reconstruction
K-Lrenlianshibbie
- 1、 从网上下载人脸图像，构建人脸训练数据库和测试数据库，采用K-L变换进行特征脸提取，并实现人脸识别。通过K-L变换在人脸识别中的应用，加深对所学内容的理解和感性认识。-1, face image downloaded from the Internet, the construction of the training and test database face database, using K-L transform features face extraction, and real
PCA
- 对人脸图像进行主成份分析，并显示训练子空间的特征脸。-Principal component analysis of face images, and displays the characteristics of the training subspace face.
Te_Zheng_Lian
- 在ORL人脸库上实现使用主成分分析法求出人脸图像的特征脸-Using principal component analysis to find the eigenface of face images in the ORL face database
Teiggenfacessh
- 本程序源码使用一种基于特征脸的人脸检测方法法，应用PCA技术进行人脸识别 可直接使用。 -The program source code using a face detection method based on features of the face, the application of PCA technology, face recognition can be used directly.
EEiggenfaccei
- 一种基于特征脸的人脸识别算法，cc＋＋代码，容易学习，适合初学入门者 -Based on the eigenface the face recognition algorithm, cc++ code, easy to learn, suitable for beginners beginners
Face-Recognition-based-on-PCA
- 该程序设计了一个基于PCA算法的人脸设别系统，通常称为“特征脸方法”。程序中所用的函数都简单易懂，并且都有解释说明，希望对大家有所帮助，还附带了实验图片。-This package implements a well-known PCA-based face recognition method, which is called Eigenface . All functions are easy to use, as they are heavy commented. Fu
PCA
- C语言源程序，PCA人脸识别算法，主要是eig特征分量选取的源程序和欧式空间匹配程序、特征脸提取程序-C language source code, PCA face recognition algorithm, eig characteristic component selected source and match the European space program, eigenface extraction procedures
PCA_ORL
- 对人脸图片用PCA降维，提取特征脸，附上ORL数据库-dimension reduction using PCA to extract eigenfaces of face images and the ORL dataset will also be provided
EigenFaceCode
- 特征脸的代码，是人脸识别领域里最早的、最经典的识别算法-The Eigenface code，belonging to face recognition field, the oldest, most classic recognition algorithm
renlianshibie
- 本程序实现了基于特征脸的人脸识别功能，根据其具体算法步骤来一步一步实现。-This procedure implements the feature-based face face recognition function, based on the specific steps of the algorithm is a step-by-step.
1
- 利用K-L变换进行人脸识别。首先求得待辨识图像相对于训练集平均脸的差值图像，然后求得该图像在特征脸空间中的坐标，最后采用最近邻法对图像进行归类。-KL transform for face recognition. Obtain the first image to be identified image with respect to the difference between the average face of the training set, and then obtain the
TestDatabase
- 人脸识别的一个常见算法，特征脸的提取，基于主成分分析的人脸识别，-A common face recognition algorithm, feature extraction of the face, based on principal component analysis for face recognition
PCA-code
- 文档包括：CreatDatabase.m ,特征脸和识别三个m文件，有一定的用处。-Documentation includes: CreatDatabase.m, characteristic face and identify three m file, have a certain usefulness.