文件列表:

PCA_based+Face+Recognition\Matlab中文论坛--助努力的人完成毕业设计.url (122, 2008-05-14)
PCA_based+Face+Recognition\PCA_based Face Recognition System\CreateDatabase.m (1937, 2012-09-12)
PCA_based+Face+Recognition\PCA_based Face Recognition System\EigenfaceCore.m (3053, 2012-09-12)
PCA_based+Face+Recognition\PCA_based Face Recognition System\example.m (1314, 2012-09-12)
PCA_based+Face+Recognition\PCA_based Face Recognition System\Recognition.m (2653, 2012-09-12)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase\1.jpg (6264, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase\10.jpg (6852, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase\2.jpg (6007, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase\3.jpg (5680, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase\4.jpg (6525, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase\5.jpg (4341, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase\6.jpg (5876, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase\7.jpg (4352, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase\8.jpg (6725, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase\9.jpg (5570, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\1.jpg (6391, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\10.jpg (4223, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\11.jpg (5967, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\12.jpg (5870, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\13.jpg (4363, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\14.jpg (4360, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\15.jpg (6681, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\16.jpg (6693, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\17.jpg (5417, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\18.jpg (5448, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\19.jpg (6827, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\2.jpg (6219, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\20.jpg (6746, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\3.jpg (6046, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\4.jpg (6195, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\5.jpg (5826, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\6.jpg (5986, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\7.jpg (6507, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\8.jpg (6506, 1994-10-05)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase\9.jpg (4285, 1994-10-05)
PCA_based+Face+Recognition\使用帮助：新手必看.htm (3434, 2008-05-15)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TestDatabase (0, 2007-10-20)
PCA_based+Face+Recognition\PCA_based Face Recognition System\TrainDatabase (0, 2007-10-20)
PCA_based+Face+Recognition\PCA_based Face Recognition System (0, 2013-10-24)
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'Eigenface' Face Recognition System Written by: Amir Hossein Omidvarnia Email: aomidvar@ece.ut.ac.ir This package implements a well-known PCA-based face recognition method, which is called 'Eigenface' [1]. All functions are easy to use, as they are heavy commented. Furthermore, a sample script is included to show their usage. In general, you should follow this order: 1. Select training and test database paths. 2. Select path of the test image. 3. Run 'CreateDatabase' function to create 2D matrix of all training images. 4. Run 'EigenfaceCore' function to produce basis's of facespace. 5. Run 'Recognition' function to get the name of equivalent image in training database. For your convenience, I have prepared sample training and test databases, which are parts of 'face94' Essex face database [2]. You just need to copy the above functions, along with the training and test databases into a specified path (for example 'work' path of your MATLAB root). Then follow dialog boxes, which will appear upon running 'example.m'. Enjoy it! References: [1] P. N. Belhumeur, J. Hespanha, and D. J. Kriegman. Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. In ECCV (1), pages 45--58, 1996. [2] Available at: http://cswww.essex.ac.uk/mv/allfaces/faces94.zip 特征脸的人脸识别系统 作者：阿米尔侯赛因 Omidvarnia 电子邮件： aomidvar@ece.ut.ac.ir的 这个包实现一个著名的基于PCA的人脸识别 方法，该方法被称为“特征脸”[1] 。 所有的功能都简单易用，因为他们是沉重的注释。 此外，包括示例脚本以显示它们的用法。 在一般情况下，你应该按照这个顺序： 1。选择训练和测试数据库路径。 2。选择测试图像的路径。 3。运行“ CreateDatabase函数来创建所有的训练图像的二维矩阵。 4 。运行' EigenfaceCore '函数来产生基础facespace 。 5 。运行'识别'功能得到同等的图像在训练数据库的名称。 为了您的方便，我已经准备好了样本训练和测试数据库，这是部分 中face94的埃塞克斯人脸数据库[2]。你只需要复制上面的功能，随着 到指定路径（例如'工作'的路径，您的训练和测试数据库 MATLAB根） 。然后按照对话框，这将出现在运行' example.m ' 。 尽情享受吧！ 参考文献： [ 1 ] PN Belhumeur ， J. Hespanha ，和DJ Kriegman 。特征脸的Fisherfaces ：确认 使用类特定线性预测。 ECCV （1） ，第45 - 58页，1996年。 [2] ： http://cswww.essex.ac.uk/mv/allfaces/faces94.zip

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