[Numpy-discussion] eigenvector and eigenface
Mon Mar 10 01:08:44 CDT 2008
See this thread:
On Mon, Mar 10, 2008 at 1:37 AM, royG <email@example.com> wrote:
> 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..
> Numpy-discussion mailing list
Peter N. Skomoroch
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