PCA_based-Face-Recognition-System

所属分类:matlab编程
开发工具:matlab
文件大小:295KB
下载次数:28
上传日期:2012-02-27 22:05:08
上 传 者realning99
说明:  PCA人脸识别算法,适用于初学者,内有详细的说明
(PCA face recognition algorithm, suitable for beginners, there are detailed instructions)

文件列表:
PCA_based Face Recognition System\CreateDatabase.m (1865, 2007-10-20)
PCA_based Face Recognition System\EFP1 (1533, 2012-01-09)
PCA_based Face Recognition System\EFP2 (1972, 2012-01-09)
PCA_based Face Recognition System\EFP3 (2776, 2012-01-09)
PCA_based Face Recognition System\EFP4 (4909, 2012-01-09)
PCA_based Face Recognition System\EFP5 (6668, 2012-01-09)
PCA_based Face Recognition System\EFP6 (6733, 2012-01-09)
PCA_based Face Recognition System\EFP7 (7300, 2012-01-09)
PCA_based Face Recognition System\EFP8 (6854, 2012-01-09)
PCA_based Face Recognition System\EigenfaceCore.asv (2976, 2012-01-09)
PCA_based Face Recognition System\EigenfaceCore.m (2986, 2012-01-09)
PCA_based Face Recognition System\example.m (1303, 2007-10-20)
PCA_based Face Recognition System\Recognition.m (2541, 2007-10-20)
PCA_based Face Recognition System\TestDatabase\1.jpg (6264, 1994-10-05)
PCA_based Face Recognition System\TestDatabase\10.jpg (6852, 1994-10-05)
PCA_based Face Recognition System\TestDatabase\2.jpg (6007, 1994-10-05)
PCA_based Face Recognition System\TestDatabase\3.jpg (5680, 1994-10-05)
PCA_based Face Recognition System\TestDatabase\4.jpg (6525, 1994-10-05)
PCA_based Face Recognition System\TestDatabase\5.jpg (4341, 1994-10-05)
PCA_based Face Recognition System\TestDatabase\6.jpg (5876, 1994-10-05)
PCA_based Face Recognition System\TestDatabase\7.jpg (4352, 1994-10-05)
PCA_based Face Recognition System\TestDatabase\8.jpg (6725, 1994-10-05)
PCA_based Face Recognition System\TestDatabase\9.jpg (5570, 1994-10-05)
PCA_based Face Recognition System\TestDatabase\Thumbs.db (36864, 2011-12-27)
PCA_based Face Recognition System\TrainDatabase\1.jpg (6391, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\10.jpg (4223, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\11.jpg (5967, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\12.jpg (5870, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\13.jpg (4363, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\14.jpg (4360, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\15.jpg (6681, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\16.jpg (6693, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\17.jpg (5417, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\18.jpg (5448, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\19.jpg (6827, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\2.jpg (6219, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\20.jpg (6746, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\3.jpg (6046, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\4.jpg (6195, 1994-10-05)
... ...

'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

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