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Description: PCA人脸识别 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
Platform: |
Size: 1480 |
Author: 蔡加欣 |
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Description: PCA人脸识别 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 Face Recognition This package implements basic Principal Component Analysis in Matlab andtests is with grayscale portion of the FERET database. Images are notpreprocessed and it is up to the user to preprocess the images as wanted, not changing the filenames
Platform: |
Size: 1024 |
Author: 蔡加欣 |
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Description:
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
Platform: |
Size: 34816 |
Author: harish bsv |
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