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J. Kustra, A. Jalba and A. Telea Robust Segmentation of Multiple Intersecting Manifolds from Unoriented Noisy Point Clouds Computer Graphics Forum 33

Version of Record online: 12 DEC 2013 | DOI: 10.1111/cgf.12255

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We present a method for extracting complex manifolds with an arbitrary number of (self) intersections from unoriented point clouds containing large amounts of noise. Manifolds are formed in a three step process. First, small flat neighborhoods of all possible orientations are created around all points. Next, neighborhoods are assembled into larger quasi-flat patches, whose overlaps determine the global connectivity structure of the point cloud. Finally, curved manifolds, as well as their intersection curves, are extracted from the patch connectivity graph via a multiple-source flood fill. The extracted manifolds can be straightforwardly reconstructed into polygonal surfaces using standard surface reconstruction methods.

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