I will work on creating a small sample dataset, but the shape is essentially a "kidney bean" in 3D space. In fact, the actual "point cloud" is (right now) actually samples from a 3D probability density function, i.e. it's a "blob", and I want the 3D bounding surface of that blob. I imagine this makes things more difficult (at least computationally), and so I'm thinking of ways to go from "blob" to the "convex hull" of this point cloud -- even though convex hull isn't exactly what I want, since there is some concavity.
On Saturday, February 20, 2016 at 8:05:44 PM UTC-5, Steve Kelly wrote: > > Do you have a sample dataset? The algorithms for triangulating a signed > distance field can be found in Meshing.jl. I implemented Marching Cubes > recently and started Marching Squares today, but have yet to tag a release > because I need to settle on an API. > > I currently am working on solid modeling via implicit functions. More > generally I work in digital fabrication (Fab Lab) and would love to have 3D > scanning in the Julia workflow. If you can share more about the dataset you > have, I'll see if we can make it work with the tools we have available now. > On Feb 19, 2016 2:36 AM, "Igor" <[email protected] <javascript:>> wrote: > >> Chris , I'm interested in this area too. Please post here if you come up >> with some solution you would like. >> >> Best regards, Igor > >
