Face_Recognition_System
所属分类：matlab编程
开发工具：matlab
文件大小：180KB
下载次数：18
上传日期：2009-05-23 22:16:21
上 传 者：
maths2009
说明： matlab实现人脸检测，基于PCA实现，可以实现人脸识别
(matlab face)
文件列表:
FLD_based Face Recognition System_v2\CreateDatabase.m (1892, 2007-10-21)
FLD_based Face Recognition System_v2\example.m (1333, 2007-10-27)
FLD_based Face Recognition System_v2\FisherfaceCore.m (4602, 2007-10-27)
FLD_based Face Recognition System_v2\Recognition.m (2205, 2007-10-21)
FLD_based Face Recognition System_v2\TestDatabase (0, 2007-10-29)
FLD_based Face Recognition System_v2\TestDatabase\1.jpg (6264, 1994-10-05)
FLD_based Face Recognition System_v2\TestDatabase\10.jpg (6852, 1994-10-05)
FLD_based Face Recognition System_v2\TestDatabase\2.jpg (6007, 1994-10-05)
FLD_based Face Recognition System_v2\TestDatabase\3.jpg (5680, 1994-10-05)
FLD_based Face Recognition System_v2\TestDatabase\4.jpg (6525, 1994-10-05)
FLD_based Face Recognition System_v2\TestDatabase\5.jpg (4341, 1994-10-05)
FLD_based Face Recognition System_v2\TestDatabase\6.jpg (5876, 1994-10-05)
FLD_based Face Recognition System_v2\TestDatabase\7.jpg (4352, 1994-10-05)
FLD_based Face Recognition System_v2\TestDatabase\8.jpg (6725, 1994-10-05)
FLD_based Face Recognition System_v2\TestDatabase\9.jpg (5570, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase (0, 2007-10-29)
FLD_based Face Recognition System_v2\TrainDatabase\1.jpg (6391, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\10.jpg (4223, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\11.jpg (5967, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\12.jpg (5870, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\13.jpg (4363, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\14.jpg (4360, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\15.jpg (6681, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\16.jpg (6693, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\17.jpg (5417, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\18.jpg (5448, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\19.jpg (6827, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\2.jpg (6219, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\20.jpg (6746, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\3.jpg (6046, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\4.jpg (6195, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\5.jpg (5826, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\6.jpg (5986, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\7.jpg (6507, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\8.jpg (6506, 1994-10-05)
FLD_based Face Recognition System_v2\TrainDatabase\9.jpg (4285, 1994-10-05)
FLD_based Face Recognition System_v2 (0, 2007-10-29)
Matlab中文论坛--助努力的人完成毕业设计.url (122, 2008-05-14)
使用帮助：新手必看.htm (3434, 2008-05-15)
... ...
'Fisherface' Face Recognition System
Written by: Amir Hossein Omidvarnia
Email: aomidvar@ece.ut.ac.ir
This package implements a well-known FLD-based face recognition
method, which is called 'Fisherface' [1].
All functions are easy to use, as they are heavy commented.
Furtheremore, a sample script is included to showe 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 'FisherfaceCore' 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'.
I would like to cite persons below, as their materials were very helpful
in preparing this package:
1. Hongcheng Wang,Beckman Institute, UIUC because of his useful presentation:
"Facial Recognition as a Pattern Recognition Problem"
2. Alan Brooks (in collaboration with Li Gao), Final Project Report submitted on June 9, 2004
for ECE 432 Computer Vision with Professor Ying Wu
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：