[Numpy-discussion] PCA on set of face images
David Bolme
bolme1234@comcast....
Mon Mar 10 18:24:04 CDT 2008
The steps you describe here are correct. I am putting together an
open source computer vision library based on numpy/scipy. It will
include an automatic PCA algorithm with face detection, eye detection,
PCA dimensionally reduction, and distance measurement. If you are
interested let me know and I will redouble my efforts to release the
code soon.
Dave
On Feb 29, 2008, at 12:15 PM, devnew@gmail.com wrote:
> 1.represent matrix of face images data
> 2.find the adjusted matrix by substracting the mean face
> 3.calculate covariance matrix (cov=A* A_transpose) where A is from
> step2
> 4.find eigenvectors and select those with highest eigenvalues
> 5.calculate facespace=eigenvectors*A
>
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