This package implements basic Principal Component Analysis in Matlab and

tests is with grayscale portion of the FERET database. Images are not

preprocessed and it is up to the user to preprocess the images as wanted,

not changing the filenames.



pca.m and createDistMat.m can be used on any database following the

same principles described in the header of the files. feret.m is specific

for the FERET database but can easily be transformed to be generic if needed.



In addition to the three .m files, standard FERET gallery and probe set lists

are given, along with a list of randomly chosen 500 images that can be used

for testing:



Training set: trainList.mat

Gallery: feretGallery.mat

Probe sets: fb.mat fc.mat dup1.mat dup2.mat-

This package implements basic Principal Component Analysis in Matlab and

tests is with grayscale portion of the FERET database. Images are not

preprocessed and it is up to the user to preprocess the images as wanted,

not changing the filenames.



pca.m　and　createDistMat.m　can be used on any database following the

same principles described in the header of the files.　feret.m　is specific

for the FERET database but can easily be transformed to be generic if needed.



In addition to the three .m files, standard FERET gallery and probe set lists

are given, along with a list of randomly chosen 500 images that can be used

for testing:



Training set: trainList.mat

Gallery: feretGallery.mat

Probe sets: fb.mat　fc.mat　dup1.mat　dup2.mat