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所属分类：matlab编程
开发工具：matlab
文件大小：369KB
下载次数：346
上传日期：2009-07-30 20:41:29
上 传 者：
matadd
说明： Amir Hossein Omidvarnia用matlab编写的基于PCA的人脸识别系统和基于FLD的人脸识别系统,其中
的图像示例为Essex face database中 face94 的部分图像,文献可参考"Eigenfaces vs. Fisherfaces:
Recognition using class specific linear projection."已经测试过程序可正常运行没有问题。
(Amir Hossein Omidvarnia prepared using matlab Face Recognition System Based on PCA and FLD-based face recognition systems, which sample the image of Essex face database for ' face94' part of images, documents may refer to " Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. " procedures have been tested there is no problem to normal operation.)
文件列表:
PCA_based Face Recognition System (0, 2009-07-30)
PCA_based Face Recognition System\CreateDatabase.m (1865, 2007-10-20)
PCA_based Face Recognition System\EigenfaceCore.m (2930, 2007-10-20)
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 (0, 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 (26112, 2009-07-30)
PCA_based Face Recognition System\TrainDatabase (0, 2007-10-20)
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)
PCA_based Face Recognition System\TrainDatabase\5.jpg (5826, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\6.jpg (5986, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\7.jpg (6507, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\8.jpg (6506, 1994-10-05)
PCA_based Face Recognition System\TrainDatabase\9.jpg (4285, 1994-10-05)
FLD_based Face Recognition System (0, 2009-07-30)
... ...
'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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