PCA_Face_Recognition
所属分类:模式识别(视觉/语音等)
开发工具:matlab
文件大小:173KB
下载次数:65
上传日期:2011-01-12 22:54:12
上 传 者:
fishwife
说明: 特征脸识别算法的完全Matlab实现,内附有详细的训练集、测试集和使用说明
(Eigenface algorithm to achieve the full Matlab, enclosing a detailed training set, test set and instructions for use)
文件列表:
TestDatabase\1.jpg (6264, 1994-10-05)
TestDatabase\10.jpg (6852, 1994-10-05)
TestDatabase\2.jpg (6007, 1994-10-05)
TestDatabase\3.jpg (5680, 1994-10-05)
TestDatabase\4.jpg (6525, 1994-10-05)
TestDatabase\5.jpg (4341, 1994-10-05)
TestDatabase\6.jpg (5876, 1994-10-05)
TestDatabase\7.jpg (4352, 1994-10-05)
TestDatabase\8.jpg (6725, 1994-10-05)
TestDatabase\9.jpg (5570, 1994-10-05)
TrainDatabase\1.jpg (6391, 1994-10-05)
TrainDatabase\10.jpg (4223, 1994-10-05)
TrainDatabase\11.jpg (5967, 1994-10-05)
TrainDatabase\12.jpg (5870, 1994-10-05)
TrainDatabase\13.jpg (4363, 1994-10-05)
TrainDatabase\14.jpg (4360, 1994-10-05)
TrainDatabase\15.jpg (6681, 1994-10-05)
TrainDatabase\16.jpg (6693, 1994-10-05)
TrainDatabase\17.jpg (5417, 1994-10-05)
TrainDatabase\18.jpg (5448, 1994-10-05)
TrainDatabase\19.jpg (6827, 1994-10-05)
TrainDatabase\2.jpg (6219, 1994-10-05)
TrainDatabase\20.jpg (6746, 1994-10-05)
TrainDatabase\3.jpg (6046, 1994-10-05)
TrainDatabase\4.jpg (6195, 1994-10-05)
TrainDatabase\5.jpg (5826, 1994-10-05)
TrainDatabase\6.jpg (5986, 1994-10-05)
TrainDatabase\7.jpg (6507, 1994-10-05)
TrainDatabase\8.jpg (6506, 1994-10-05)
TrainDatabase\9.jpg (4285, 1994-10-05)
CreateDatabase.m (1865, 2007-10-20)
EigenfaceCore.m (2930, 2007-10-20)
example.m (1303, 2007-10-20)
Recognition.m (2541, 2007-10-20)
TestDatabase (0, 2007-10-20)
TrainDatabase (0, 2007-10-20)
'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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