文件列表:

PCA(matlab)\createDistMat.m (2162, 2007-01-06)
PCA(matlab)\dup1.mat (2979, 2007-01-06)
PCA(matlab)\dup2.mat (1101, 2007-01-06)
PCA(matlab)\fb.mat (4177, 2007-01-06)
PCA(matlab)\fc.mat (784, 2007-01-06)
PCA(matlab)\feret.m (5590, 2007-01-06)
PCA(matlab)\feretGallery.mat (4169, 2007-01-06)
PCA(matlab)\listAll.mat (14686, 2007-01-06)
PCA(matlab)\pca.m (5476, 2007-01-06)
PCA(matlab)\trainList.mat (2980, 2007-01-06)
PCA(matlab) (0, 2007-07-09)

INTRODUCTION 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 ------------------------------------------------------------------------------------ WHEN PUBLISHING A PAPER AS A RESULT OF RESEARCH CONDUCTED BY USING THIS CODE OR ANY PART OF IT, MAKE A REFERENCE TO THE FOLLOWING PAPER: Delac K., Grgic M., Grgic S., Independent Comparative Study of PCA, ICA, and LDA on the FERET Data Set, International Journal of Imaging Systems and Technology, Vol. 15, Issue 5, 2006, pp. 252-260 ------------------------------------------------------------------------------------ GENERAL INSTRUCTIONS Run the function pca to create a variable pcaProj. Input variable pcaProj to the function createDistMat, thus creating a distance matrix that you then use as an input to the function feret. See headers of all three functions for more details. The sequence should look something like this: >> load trainList.mat >> pca ('C:/FERET_Normalised/', trainList, 200); >> pcaDistMatCos = createDistMat(pcaProj, 'COS'); >> pcaResultsCOS = feret(pcaDistMatCos, 50); >> pcaResultsCOS.perc(1) % gives rank 1 result >> plot(pcaResultsL1.cms) % plots the CMS curve ------------------------------------------------------------------------------------ LICENSE This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details: http://www.gnu.org/licenses/gpl.txt

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