Tessellating PointCloud (ConvexHull? Delaunay)
Samuel Maybury <[email protected]>
| Newsgroups | gmane.comp.python.scientific.user |
|---|---|
| Message-ID | <[email protected]> |
Hi guys,
Been looking to tesselate a 3D point cloud from array of form [[x1 y1 z1][x2 y2 z2]...[xn yn zn]].
I tried scipy.spatial.convexhull which worked decently, but has the notable limitation of not handling concaves. The STL I then extracted only had half the triangles, but I think I need to take that up with the maker of numpy-stl.
Still kinda new to scipy (and programming in general) so could someone informed please help?
From what I understand Delaunay triangulates every point in the cloud. Is there a way to limit it to only Tessellating to the nearest?
Or a better method for doing this?
Many thanks,
Sam
3D Prints: 3dhubs.com/service/Mirths-Hub
Connect: linkedin.com/samueljmaybury
Watch: youtube.com/user/AcrimoniousMirth
CV: engineering.community/profile/samuel-maybury/about
_______________________________________________
SciPy-User mailing list
[email protected]
https://mail.python.org/mailman/listinfo/scipy-user