Photographer Loves Math, Graphs Her Images

http://www.wired.com/magazine/2010/01/pl_arts_found/

by francissson • 16 years ago

46 14 16 years ago

spicyj• 16 years ago

Seems like a strange project to me. With just a little effort, you can really make equations that almost perfectly model any curve you find in a photograph.

What's so notable about this? I guess the pictures are pretty.

Zilioum• 16 years ago

I agree, I really like the idea but the 2D ones seem a bit forced to me - not that aesthetic. The 3D ones on the other hand are beautiful and have a much more natural feel.

AGorilla• 16 years ago

You've answered your own question.

tel2• 16 years ago

I think it's important that the graphs don't perfectly fit and that the equations look simple (though some aren't really). It might be taking her work too far, but if you think of art as a way of communicating, it's nice to think of messages about how math can guide the real world, but rarely does the real world fully fit.

melling• 16 years ago

http://www.wolframalpha.com/input/?i=graph+1%2F10%28ln%28x%2...

lzell2• 16 years ago

Cool. Is there software that can create a Fourier series that matches the contour exactly, e.g. the contour of the mountain tops in the third pic?

JshWright• 16 years ago

s/mountain tops/piles of snow in a parking lot/

Yer not from around these parts, are ya? ;)

lzell2• 16 years ago

:) oops.

yummyfajitas2• 16 years ago

You would need to do segmentation to extract the contour. Not sure if good segmentation software exists.

Once you have the contour, just use FFTW (fftw.org).

lmkg• 16 years ago

There are some edge-detection algorithms around that are tried and tested. The discrete first and second derivatives are very easy to compute and tend to have very high (or very low) values on edges. Canny Edge Detection is more complicated to implement, but easier to use because it returns the lines themselves, while the derivative operators just amplify the edges, to be picked out with later post-processing (like taking a threshold value). I think there's an online version of the Canny algorithm.

http://en.wikipedia.org/wiki/Discrete_Laplace_operator http://en.wikipedia.org/wiki/Canny_edge_detector

tel2• 16 years ago

I don't know about user-end software, but all of that image processing would be fairly simple to do in either Matlab or SciPy. It requires image segmentation (which should be fairly easy in pictures like these with strong edges) and then just running a FFT.

lssndrdn• 16 years ago

As an amateur photographer, I have often noticed how the best nature images are often of curves, or other geometrical shapes with some amount of symmetry. Lines that converge to the corners or lead the eye towards the intended focal point are another good example. Seeing function curves overimposed on natural curves tells the observer explicitly of the underlying harmony in nature and in math, which we all perceive, consciously or not.

teye• 16 years ago

The delicate graphs over low-contrast, well-shot photos are so beautifully subtle. And the typographer in me loves the equally understated equation captions.

http://www.flickr.com/photos/nikkigraziano

Photographer Loves Math, Graphs Her Images

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