Robust Segmentation of Multiple Intersecting Manifolds from Unoriented Noisy Point Clouds

摘要: We present a method for extracting complex manifolds with an arbitrary number of self- intersections from unoriented point clouds containing large amounts noise. Manifolds are formed in three-step process. First, small flat neighbourhoods all possible orientations created around points. Next, assembled into larger quasi-flat patches, whose overlaps give the global connectivity structure cloud. Finally, curved extracted patch graph via multiple-source flood fill. The can be reconstructed meshed surfaces using standard existing surface reconstruction methods. demonstrate speed and robustness our on several clouds, applications cloud segmentation, denoising medial reconstruction.