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PCA Face Recognition
MatLab implementation
http://www.vision.ime.usp.br/~teo/pca
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Instructions:
1 - Open file pca.m.
2 - Read its comments and replace the "???"
to the parameters that you have to set
(location of face image database,
number of eigenfaces, etc).
3 - Script pca.m uses the functions resize.m,
loadpop.m, makebasis.m, classif.m and
success.m. You can learn a little bit
about them by reading the script pca.m.
4 - The purpose of function showimg.m is to
plot the images. Function pca.m does not
call it.
5 - All the functions have descriptions and
you can see them by typing
"help <function_name>" in the MatLab's
command line.
6 - For the face image database, I recommended
that:
* your image database contains only the
images that you will use for training
and testing the PCA face recognition
system;
* all the people have the same number of
images in the database;
* the file names be like xxx_yyy, where
xxx is the number of the person of this
file and yyy is the number of this sample
image of that person.
7 - After setting the correct paramethers
in the script pca.m, you can run it and
it will perform the training of a PCA
system and a recognition process.
I hope you enjoy it!
If you have any problem, suggestion, comments
or if you improved this version, please contact me.
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Credits:
Teofilo Emidio de Campos
mailto:teo@ime.usp.br
http://www.ime.usp.br/~teo
ICQ# 6011445
Creative Vision Research Group
http://www.ime.usp.br/~cesar/creativision
Computer Science Department
Institute of Mathematics and Statistics
Sao Paulo University - Brazil
DCC - IME - USP
Last update: Wed May 17 2000
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