Today I have started an experiment to use a Genetic Algorithm to create artistic drawings. I hope to achieve results similar to Bergen and Ross from Brock University. As a test, I tried approximating the Mona Lisa in grayscale using only circles. Here is the result.
Fail.
While this is an interesting image, it doesn’t look a lot like the Mona Lisa. Some of the largest features of the Mona Lisa are present to a degree, such as a light region in the center, dark bottom corners, and a light top-right corner. However, I wouldn’t call this a success.
What went wrong? I believe that the set of genetic operators I chose (the Galib defaults) are not appropriate, especially the mutation operator. I will implement some new ones that make more sense and try again. Hopefully the results improve.
For the Genetic Algorithms, I am using Galib. For the image manipulation code, I am using CImg.
Tags: art, CImg, galib, genetic algorithm, mona lisa
That’s *so* neat!! I see what you mean about the light regions in your Mona Lisa.
It’s new art — when you die, it will be worth millions.
For what it’s worth, that looks much nicer than your first one (golden ratio).
Hi, I want to program this algorithm, can u guide me on that?
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