least significant eigenimage
> is "deteriorated" is logical. Eigenimages are trying to represent in a
> linear way something that is not. The smallest variations are then
> represented by an artifact, and this is what you get.
>
>
thanks Matthieu ..if that is the logical behaviour then i believe my
>
> #now this creates 2 images.they are given in this page(http://
> roytechdumps.blogspot.com/).The leasteigenface ie 'eigenface16.jpg'
> is quite 'deteriorated' in appearance compared to the other.Is this
> because of the
>
> corresponding eigenvector containing least variations? can someone
> e
hi
As discussed in the thread
http://groups.google.com/group/Numpy-discussion/browse_thread/thread/b9774ac757c3c
98e/a66aa2565d4e6a24
i tried to create an application to create eigenfaces from a set of
jpeg images.I followed these steps after obtaining an ndarray of 17
images (ie 17 rows where ea
