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Mak K

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Comments and Ratings by Mak		1 - 1 of 1
Updated	File	Comments	Rating
19 Jun 2009	a better code for LDA based face recognition I have modified the former code so that it runs faster and can be run on normal PCs. Author: Shahab Anbarjafari	first of all, I couldn't run the file because it doesn't have the files it needs I read the code it is not LDA, it's PCA because you did the following: 1- loaded the pictures for training in one matrix as rows (face space) 2- loaded the rest of the pictures for test in another matrix 3- subtracted mean face from all of face space (zero mean face space) 4- covariance for zero mean face space 5- eigenvectors for covariance matrix 6- project the eigenvectors on every picture in train and test sets 7-measure the euclidean distance for test set that is PCA for LDA, you must get mean for each class then the mean of all the classes calculate within-class scatter matrix calculate the between-class scatter matrix then the eigenvectors for the product and so on which you didn't do

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