[Numpy-discussion] eigenvector and eigenface
royG
roygeorget@gmail....
Mon Mar 10 00:37:05 CDT 2008
friends
I am learning eigenfaces using numpy . i use data from N images and
create eigenvectors to get a 'sorted eigenvectors' array of size N X
N. when i project the 'zero mean imagedata' i will get a facespace
array of N X numpixels. (where numpixels is total pixels in one image)
is eigenface the same as eigenvector? some of the docs i
read(pissarenko-Eigenface-based facial recognition), use these two
words to mean the same thing..but when i look at the dimensions of
'sorted eigenvectors' array
it is only NXN and i don't know how i can make images out of it
representing eigenfaces.
on the other hand the projection of 'zero mean imagedata' on
eigenvectors by using numpy.dot(eigenvectors,zeromeanimagedata) can
make an array of N X numpixels
.I believe this is what is known as the facespace .is this what
represents the eigenface images ?
will be thankful for any expert opinion on this..
RG
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