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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.

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  • $\begingroup$ Could you mention any other requirements? Do you need the fastest / most memory efficient approach, or the simplest one to implement to get on with prototyping? $\endgroup$
    – trichoplax is on Codidact now
    Commented Dec 8, 2016 at 20:02
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    $\begingroup$ Maybe this question on stackoverflow helps: link $\endgroup$
    – wolle
    Commented Dec 8, 2016 at 22:52
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    $\begingroup$ Have you tried using MeshLab? It's one of its use cases by design. $\endgroup$
    – IneQuation
    Commented Dec 9, 2016 at 9:23
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    $\begingroup$ Performance doesn't matter. I think understanding the concepts and accuracy is more important. Sorry if the question is too broad, but I thought that any experiences from experts, how to dive in and which concept is worth it, would be helpful for me and potential future visitors @trichoplax $\endgroup$
    – p2or
    Commented Dec 9, 2016 at 12:12

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There is algorithm called as delaunay triangulation which does triangulation or points it's comparably simple to understand . But it is very slow. If you don't want to implement your own algorithm from scratch please have look at pcl http://pointclouds.org/documentation/tutorials/greedy_projection.php Also have look at CGAL http://www.cgal.org.

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    $\begingroup$ As a hint for the people wanting to learn this, the delaunay triangulation can be build with voronoi diagrams. A vornoi diagram takes an unordered set of points and calculates vornoi regions such that each region contains exactly one point and the border of a region is set such that the two points of the bordering fields have exactly the same distance to the border. Once the voronoi diagram is build, the delaunay triangulation is a simple matter of connecting each point with the points of the neighbouring voronoi regions. $\endgroup$
    – Tare
    Commented Nov 28, 2017 at 14:03

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