https://github.com/pseudomanifold/eigenfaces

Experiments with eigenfaces
https://github.com/pseudomanifold/eigenfaces

Last synced: about 2 months ago
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Experiments with eigenfaces

• Host: GitHub
• URL: https://github.com/pseudomanifold/eigenfaces
• Owner: Pseudomanifold
• License: mit
• Created: 2015-09-13T13:32:57.000Z (about 10 years ago)
• Default Branch: master
• Last Pushed: 2015-09-13T13:53:09.000Z (about 10 years ago)
• Last Synced: 2025-05-15T17:10:00.403Z (5 months ago)
• Language: Python
• Size: 8.11 MB
• Stars: 0
• Watchers: 2
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Eigenfaces

A simple script for performing eigenface analysis. Head over to [this

blog

post](http://bastian.rieck.ru/blog/posts/2015/eigenfaces_reconstruction)

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](http://www.cl.cam.ac.uk/research/dtg/attarchive/facedatabase.html)

- [*The normalized Yale face database*](http://vismod.media.mit.edu/vismod/classes/mas622-00/datasets)