pca2
所属分类：matlab编程
开发工具：matlab
文件大小：254KB
下载次数：3
上传日期：2020-02-17 17:25:01
上 传 者：
6696313
说明： 使用PCA通过MATLAB实现简单的人脸识别，使用的是ORL人脸库。
(PCA is used to realize simple face recognition through MATLAB, and ORL face database is used.)
文件列表:
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\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, 2009-12-18)
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)
PCA_based Face Recognition System\TrainDatabase\Thumbs.db (73728, 2009-12-18)
PCA_based Face Recognition System\TestDatabase (0, 2009-12-18)
PCA_based Face Recognition System\TrainDatabase (0, 2009-12-18)
PCA_based Face Recognition System (0, 2009-10-17)
... ...
'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
近期下载者：
相关文件：
收藏者：