As a bonus: the vanilla JFA can only calculate unsigned distances, but you can extend this to signed distance computation using a simple trick: by inverting your JFA result and setting it as the seed for running a second DFA. (See https://blog.demofox.org/2016/03/02/actually-making-signed-d... for a better explanation)
Thats a cool algorithm!! I couldnt find resources on how it might be used to compute distance functions (though it seems like it can). It seems to be for approximating voronoi diagrams.
I think this is something like a boundary between two fluids. For example, if you had oil and water in a glass you could describe the 2d surface where they meet as the interface.
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