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interoplate point data into volume using radial basis functions?


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Maybe I know just enough to not know anything about this...


I was reading about radial basis function interpolation and in sample images it gives a really nice smooth result and seems to more intelligently fill in missing values than some other methods. However, it sounds like it takes a ton of memory to perform and is quite slow.  Has anyone experimented with it? I've tested the Scipy implementation, which very rapidly runs out of memory and makes it impossible to use for real-world sized data.




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