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Robust Extraction of Multiple Structures from Non-uniformly Sampled Data
2018
The extraction of multiple coherent structures from point clouds is crucial to the problem of scene modeling. While many statistical methods exist for robust estimation from noisy data, they are inadequate for addressing issues of scale, semi-structured clutter, and large point density variation together with the computational restrictions of autonomous navigation. This paper extends an approach of nonparametric projection-pursuit based regression to compensate for the non-uniform and
doi:10.1184/r1/6560699
fatcat:g5veceo3orgsvju52dblnt3l74