I'd like to create a mesh from a point cloud generated by video tracking, ideally using python for some kind of prototype at least.
Initially I thought this is a fairly easy task, connecting the vertices, creating the faces, done ;) Then I've read that Screened Poisson Surface Reconstruction is currently the best approach. Although there is a nice github repository and code to play with, it's hard to understand the papers.
Q: Is there another clever implementation/approach you would recommend or is Screened Poisson Surface Reconstruction the way to go? Any suggestion how to implement that as simple as possible will be greatly appreciated.