Eigenfaces

A simple script for performing eigenface analysis. Head over to this blog post for more details.

Usage

Use

$ python eigenfaces.py Data/Yale\ faces/Original 100

to perform a reconstruction using 100 randomly-selected faces with eigensystem reductions of 95% explained variance. If you want to modify the explained variance, use the optional --variance switch:

$ python eigenfaces.py Data/Yale\ faces/Original 100 --variance 0.99

This results in an eigensystem that explains at least 99% of the variance. The script will display the reconstruction (i.e. the projection onto “face space”) on the left-hand side and the original image on the right-hand side. Better results are generally obtained using the Cropped subdirectory:

$ python eigenfaces.py Data/Yale\ faces/Cropped 100

Data

If you want even more data sets, here are some interesting ones:

• The Database of Faces, AT&T Laboratories Cambridge
• The normalized Yale face database