jaimeivancervantes / facerecognition Goto Github PK
View Code? Open in Web Editor NEWFace recognition written in MATLAB. This code implements Fisher's Discriminant Analysis and SVMs using LIBSVM.
Face recognition written in MATLAB. This code implements Fisher's Discriminant Analysis and SVMs using LIBSVM.
I read your code carefully and I have a question about the PCA part in the "main.m".
As I know, to play the PCA on "A", we need to get the eigenvectors of "A^T*A". And these sorted eigenvectors form the loading matrix. I don't know why you get the eigenvectors as follows:
% Obtaining the eigenvectors U = A * pevec;
Because I think the pevec is already the eigenvectors or the loading matrix.
I am trying to run the SVM part with images 480x640 pixels and the acuraccy is zero.When i resize the images to be 48x40 pixels as in your code the acuraccy is slightly better.Is there any way that i can achieve 100% accuracy?
Is there any way to use this code with Multi PIE dataset?
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