The World’s Most Famous Painting

Posted on December 8, 2008
Filed Under art, computing | Leave a Comment

This is a nice approach to computer generated art. Roger Alsing wrote a programme that pushed around fifty translucent polygons using a Darwinian selective algorithm until they started looking like the Mona Lisa. I think you’ll agree that the sixty images are quite instructive. Here’s his discussion followed by a link to the images.

This weekend I decided to play around a bit with genetic programming and put evolution to the test, the test of fine art.

I created a small program that keeps a string of DNA for polygon rendering.
The procedure of the program is quite simple:

0) Setup a random DNA string (application start)

1) Copy the current DNA sequence and mutate it slightly
2) Use the new DNA to render polygons onto a canvas
3) Compare the canvas to the source image
4) If the new painting looks more like the source image than the previous painting did, then overwrite the current DNA with the new DNA
5) repeat from 1

Now to the interesting part.

Could you paint a replica of the Mona Lisa using only 50 semi transparent polygons?

That is the challenge I decided to put my application up to.

The Images

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