If you like Picross you'll looove radon transforms ( https://en.wikipedia.org/wiki/Radon_transform … ).pic.twitter.com/byzcUhwfOy
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If you like Picross you'll looove radon transforms ( https://en.wikipedia.org/wiki/Radon_transform … ).pic.twitter.com/byzcUhwfOy
This wikipedia page is uncommonly unclear. Radon transform is like - you have a laser say, you point it at an object and see how much light is absorbed by it - the more matter the object passes through the more light is absorbed. [1/2]
If you do this for lots of positions, moving/rotating the laser around, then only knowing the position of the laser and how much light was absorbed (i.e. how much matter was in the path of the ray), you can try to reconstruct the shape of the object. (kind of) like Picross! [2/2]pic.twitter.com/SHKqbfu4Sp
[The big difference in Picross is that you get information about contiguous segments in (e.g. [2,3] a group of 2 and a group of 3), which Radon doesn't give you (it would just tell you "5") ]
Doesn't it somehow relate to signed distance fields?
Radon transforms? I'd guess not. SDFs are very local structures - they tell you about information around a point. Radon transforms (like Fourier transforms) are very non-local, they probe whole cross-sections of the object. [1/2]
If I was to think of likely rendering uses for radon transforms, it would be stuff like volumetric rendering (fog and the like).
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