This is not a Julia-specific problem: you need to decide what algorithm to use, which depends on what you know about your surface.
Eg if it is a function f(x,y), and reasonably smooth and differentiable over some domain, you can use a family of basis functions to interpolate -- see ApproxFun.jl. If it is some more general surface, you would need other algorithms or transformations; there are no general ones (this is the nature of the problem) and you will need to make some assumptions. Best, Tamas On Wed, Feb 17 2016, Chris wrote: > If I have a set of 3D points, randomly sampled from some arbitrary surface, > what are my options (in terms of Julia packages) for reconstructing the > surface for plotting? I've done a little research and found the Meshes.jl > package, but I can't find any good examples or documentation for it. In > case it's not already obvious, I'm completely new to this topic, so any > direction would be appreciated. > > Thanks, > Chris
