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Description: 是耶鲁大学的人脸库，耶鲁大学的人脸库分为A\B,这是A,B太大传不上来.-Yale University Face libraries, Yale University face database is divided into AB, which is A, B is not up too much mass.
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Size: 6108160 |
Author: 孟庆涛 |
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Description: 本代码用于人脸识别，可以在ORL、Yale、AR等人脸库上测试使用。-The code for face recognition, can ORL, Yale, AR face database, such as the use of the test.
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Size: 3072 |
Author: 黄璞 |
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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
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Size: 1175552 |
Author: wj |
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Description: Yale人脸库（美国）：
耶鲁大学，15人，每人11张照片，主要包括光照条件的变化，表情的变化等。-Yale Face Database (U.S.):
Yale University, 15 people, each 11 photos, mainly including changes in lighting conditions, expressions of the change.
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Size: 6110208 |
Author: 焦妍 |
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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．
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Size: 205824 |
Author: 费富里 |
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Description: 基于形态学商图像的光照归一化算法.复杂光照条件下的人脸／P,~J1是一个困难但需迫切解决的问题，为此提出了一种有效的光照归一化算法．
该方法根据面部光照特点，基于数学形态学和商图像技术对各种光照条件下的人脸图像进行归一化处理，并且将它
发展到动态地估计光照强度，进一步增强消除光照和保留特征的效果．与传统的技术相比，该方法无须训练数据集以
及假定光源位置，并且每人只需一幅注册图像，在耶鲁人脸图像库B上的测试表明，该算法以较小的计算代价取得了
优良的识别性能．-Face recognition under complex illumination conditions is still an open question．To cope with the
problem ，this paper proposes an effective illumination normalization method．The proposed method employs
morphology and quotient image techniques by analyzing the face illumination，and it is upgraded with dynamical
lighting estimation technique to strengthen illumination compensation and feature enhancement．Compared with
traditional approaches，this method doesn’t need any training data and any assumption on the light conditions，
moreover，the enrollment requires only one image for each subject．The proposed methods are evaluated on Yale
Face database B and receive a very competitive recognition rate with low computational cost．
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Size: 299008 |
Author: 郭事业 |
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Description: ma yi sparse representation classification .EXTENDED YALE B database.recognition rate 95 。-ma yi sparse representation classification. recognition rate 95 .
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Size: 1024 |
Author: 王麦麦 |
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Description: Yale B数据库是人脸识别光照预处理研究的最常用的一个人脸数据库，本文件是经过裁剪好了，可以直接用的正面图像。总共10人，每人64张，共640张图片。-Yale B database is one of the most commonly used face database for face recognition light pretreatment, this document is cropped good, positive image that can be used directly. A total of 10 people, 64 per person, a total of 640 pictures.
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Size: 11290624 |
Author: liubo |
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Description: The extended Yale Face Database B contains 16128 images of 28 human subjects under 9 poses and 64 illumination conditions. The data format of this database is the same as the Yale Face Database B. Please refer to the homepage of the Yale Face Database B (or one copy of this page) for more detailed information of the data format.
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Size: 600064 |
Author: saurabh |
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Description: Yale人脸数据库B扩展库（mat 格式）ExtendYaleB数据库，可以作为人脸分类分割实验数据-Yale face database B extension library (mat format) ExtendYaleB database can be used as face classification division of experimental data
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Size: 2215936 |
Author: 许声红 |
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Description: 基于Yale-B和CMU-PIE 人脸库上的实验结果显示本文算法对复杂光照具有较强鲁棒性，具备提取复杂光照条件下人脸图像有效特征的能力。小波变换 特征提取 matlab仿真-Experimental results based on Yale-B and CMU-PIE face show that the proposed algorithm has a strong light on the complexity of robustness, with the extraction of complex lighting conditions in human face images effective feature capabilities. Wavelet transform feature extraction matlab simulation
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Size: 390144 |
Author: suca |
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Description: 可实现局部最优近似平面数据聚类，该聚类方法是一种常用的子空间聚类方法，文章作者没有给出相应的源码，这里提供给大家。经过测试可以实现数据聚类，但是对人脸数据集extended yale B效果不理想。参考文献：Teng Zhang, Arthur Szlam, Yi Wang, et al. Hybrid linear modeling via local best-fit flats [J]. International Journal of Computer Vision, 2012, 100: 217-240.-This program can realize local best fit flats subspace clustering. Local best fit flats subspace clustering is one of the commonly used subspace clustering methods. The authors of the paper didn t present the source code and here it is given. The program is tested and it can be used to realize data clustering but its effect is not satisfying in clustering data extended yale B face . Reference: Teng Zhang, Arthur Szlam, Yi Wang, et al. Hybrid linear modeling via local best-fit flats [J]. International Journal of Computer Vision, 2012, 100: 217-240.
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Size: 2048 |
Author: 宋昱 |
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Description: Extended yale B 人脸数据库，用于研究人脸识别-Extended yale B face
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Size: 53587968 |
Author: 向着太阳微笑 |
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Description: 这是MNIST数据库（一个手写数字的数据库，它提供了六万的训练集和一万的测试集，它的图片是被规范处理过的，28*28的灰度图）
总共4个文件:
train-labels-idx1-ubyte: training set labels
t10k-images-idx3-ubyte:? test set images
t10k-labels-idx1-ubyte:? test set labels
train-images-idx3-ubyte: training set images(The set is for Mnist database which offers 60000 images training set and 10000 test set,the images are processed to 28*28,and there are 4 folds in total.)
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Size: 55759872 |
Author: sgro |
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