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I have a very dense point cloud (billions of points) of the exterior of a building obtained by laser scanning it with a Leica head. I successfully subsampled it down to around 500,000 and I'm trying to print the building by first creating a mesh. I tried using CloudCompare, Meshlab and PDAL, using Poisson surface reconstruction. However, the resulting mesh is full of holes, mainly in the roofs which have the lowest point density, and I cannot print it. Is there any algorithm which could use the fact that the point cloud is precisely the exterior part of a geometric thing?

Oh and this algorithms with the sparse voxel octree approach can handle way more input data. My algorithm could handle multiple million points. – Horitsu – 2018-05-04T06:58:31.783