Nadav Horesh wrote:
> Wouldn't a random or regular subsampling of the set will do the job?
> I have N tabulated data points { (x_i, y_i, z_i) } that describes a 3D
> surface. The surface is pretty "smooth."
If it's equally "smooth" everywhere, then yes, a subsampling would work
fine, but I'm guessing the OP wants something smarter than that.
> For data interpolation: 2D-Delaunay triangulation based method (I think you
> can find one in the scipy cookbook).
yup -- but then you need the decimation to remove the "unneeded"
points. I don't think Scipy has that.
the GNU Triangulated Surface Library:
http://gts.sourceforge.net/
should do what you want, but I don't know of any Python bindings -- you
may be able to write some to the routines you need without too much pain.
CGAL may have something too, and it does have Python bindings.
http://cgal-python.gforge.inria.fr/
-Chris
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