Description: 人脸线性判别的matlab代码，在使用是需要有Yale的人脸数据库，使用自己的数据库时需要对其作些修改-Face the linear discriminant Matlab code, the use is the need for the Yale face database use their own database needs to make some changes to its Platform: |
Size: 2048 |
Author:guoyan |
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Description: 这是基于耶鲁库的人脸分割程序，是matlbe环境下的哦！-This is based on the Yale Face database segmentation procedure is matlbe environment Oh! Platform: |
Size: 2048 |
Author:卢海云 |
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Description: yale 人脸识别库，是标准的人脸检测与识别的数据库。可靠性强。-Yale face recognition database, is a standard face detection and recognition database. Reliability. Platform: |
Size: 402432 |
Author:betty |
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Description: 在Yale 人脸库上运用PCA＋SVM的方法实现了人脸检测，并统计识别率-In the Yale face database using PCA SVM method achieved a face detection and recognition rate statistics Platform: |
Size: 5402624 |
Author:舟子还 |
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Description: matlab编写的Modular PCA的源代码，以Yale人脸库为例。Moduplar PCA首先对原始图像分块，然后对分块后的所有子图像进行PCA分析提取投影特征，对待识别图像也是先进行分块，然后分别计算子图像在投影特征下的投影系数，最后根据最近邻分类器进行分类。-Modular PCA prepared matlab source code to Yale face database as an example. Moduplar PCA first block of the original image, and then on the block after all the sub-image analysis to extract PCA projection characteristics, treatment identification image is first block, and then calculated the characteristics of sub-image in the projector under the projection coefficient, and finally the light of recent Neighbor Classifier classification. Platform: |
Size: 2048 |
Author:章格 |
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Description: ORL人脸数据库，进行人脸识别、人脸检测等国际公认数据库-ORL face database, for face recognition, face detection and other internationally recognized database Platform: |
Size: 5110784 |
Author:小菲 |
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Description: 这是读好的ORL 和YALE人脸库数据， 用LODA加载后， 变量train 代表是训练样本， test 代码是测试样本。-This is a good time ORL and Yale face database data, using Loda loaded, variable train representatives training samples, test code is to test the samples. Platform: |
Size: 22945792 |
Author:lousongjiang |
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Description: 这是用于人脸识别的经典人脸库，人脸识别的实验和验证都是在这些基础库上完成的，它是yale人脸库，包含不同人脸的各种姿态，对做实验极为有用-This is a classic for Face Recognition Face database, face recognition and verification experiments are those at the finish on the basis of the Treasury, it is yale face database that contains a variety of different people face gesture, to do experiments on very useful Platform: |
Size: 1636352 |
Author:吴承昊 |
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Description: 标准YALE人脸库，供指纹识别实验使用。图像以位图格式保存。无压缩-YALE face database standards for experimental use of fingerprint identification. Image to a bitmap format. No compression Platform: |
Size: 1636352 |
Author:Sheper |
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Description: YALE 人脸数据库，人脸识别的好工具，15个人，每个人11副图像-YALE face database, face recognition a good tool, 15 individuals, each 11 images Platform: |
Size: 1175552 |
Author:wj |
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Description: 这是著名的人脸库，可以对人脸识别算法进行测试，该人脸库是被广泛使用的人脸库之一。-This is a well-known face database, face recognition algorithms can be tested in the face database is widely used as one face database. Platform: |
Size: 1618944 |
Author:shuzhenqiu |
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Description: 特征提取是模式识别研究领域的一个热点.本文提出了一种基于独立成分分析和线性鉴别分析的特征提取方法.谊方法中引入了零空间的概念,指出了前人算法中的不足之,并且给出了一个完整的独立成分分析和线性鉴别分析的组合算法.在ORL和Yale人脸数据库上的实验表明了该方法的有效性.-Feature extraction is a hot field of pattern recognition research. In this paper, which is based on independent component analysis and linear discriminant analysis feature extraction method. Yi method introduced the concept of zero-space, pointing out that the algorithm predecessors shortcomings, and gives a complete independent component analysis and linear discriminant analysis of the combined algorithm. In the ORL and Yale face database, the experiment shows the effectiveness of this method. Platform: |
Size: 256000 |
Author:费富里 |
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Description: 摘要：主成分分析（PCA）的人脸识别算法，以减少的特征向量是涉及到对抽象的特点，改进了主成分分析（一）iUumination算法的变化影响酶原sed.The方法是基于上减低与正常化其相应的标准差的特征向量元素相关联的大特征值的特征向量的影响力的想法。耶鲁大学和耶鲁大学面临的数据库面对数据库B是用来验证-Abstract：In principal component analysis(PCA)algorithms for face recognition，to reduce the influence of the
eigenvectors which relate to the changes of the iUumination on abstract features，a modified PCA ( A)
algorithm is propo sed．The method is based on the idea of reducing the influence of the eigenvectors associated
with the large eigenvalues by normalizing the feature vector element by its corresponding standard deviation．
Th e Yale face database and Yale face database B are used to verify the method．The simulation results show
that，f0r front face and even under the condition of limited variation in the facial po ses the proposed method
results in better perform ance than the conventional PCA and linear discriminant analysis(LDA)approaches．and
the computational cost remains the same as that ofthe PCA，and much less than that ofthe LDA． Platform: |
Size: 205824 |
Author:费富里 |
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Description: 二维线性鉴别分析(2DLDA)算法能有效解决线性鉴别分析(LDA)算法的“小样本”效应，支持向量机
(SVM)具有结构风险最小化的特点，将两者结合起来用于人脸识别。首先，利用小波变换获取人脸图像的低频分量，忽
略高频分量：然后，用2DLDA算法提取人脸图像低频分量的线性鉴别特征，用“一对多”的SVM 多类分类算法完成人脸
识别。基于ORL人脸数据库和Yale人脸数据库的实验结果验证了2DLDA+SVM算法应用于人脸识别的有效性。-”Small sample size”problem of LDA algorithm can be overcome by two—dimensional LDA f 2DLDA)，and
Support Vector Machine(SVM)has the characteristic of structural risk minimization．In this paper，two methods were
combined and used for face recognition．Firstly，the original images were decomposed into high—frequency and low—frequency
components by Wavelet Transform(WT)．The high—frequency components were ignored，while the low—frequency components
can be obtained．Then．the liner discriminant features were extracted by 2DLDA，and”one VS rest”。strategy of SVMs for
muhiclass classification was chosen to perform face recognition． Experimental results based on ORL f Olivetti Research
Laboratory1 face database and Yale face database show the validity of 2DLDA+SVM algorithm for face recogn ition． Platform: |
Size: 236544 |
Author:费富里 |
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Description: Yale人脸数据库，用与人脸识别，包括15个人，每人11张图片-Yale face database, use and recognition, including 15 individuals, each of 11 pictures Platform: |
Size: 1399808 |
Author:韩静书 |
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Description: 简单的人脸识别Matlab程序。附带耶鲁人脸库。可供识别使用。-Face Recognition simple Matlab program. With the Yale face database. Used for identification. Platform: |
Size: 1658880 |
Author:yang |
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