Let's say I have a cloud of 3D points which represent some objects in front of me. I'd like to find a 3D surface which can fit these points in an acceptable way. Problem is, there could be a lot of gaps between points, so I was thinking to start from a planar surface and move this surface toward the points, so that in the end the planar surface would be deformed into the surface I was looking for. Is there a specific technical name for this kind of technique, and are there some libraries which can achieve this?
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http://doc.cgal.org/latest/Alpha_shapes_3/index.html – Jan 26 '15 at 21:29
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Google "deformable surface". – fang Jan 27 '15 at 01:13
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I know to terms for this techniques: "surface reconstruction" and "manifold learning". I'm not familiar with the latter. For the former check out CGAL, PCL, MeshLab, etc – datjko Jan 27 '15 at 01:45
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also see answers for this question http://stackoverflow.com/questions/838761/robust-algorithm-for-surface-reconstruction-from-3d-point-cloud – datjko Jan 27 '15 at 01:50