Constrained Planar Cuts - Object Partitioning for Point Clouds

CVPR 2015 Markus SchoelerJeremie PaponFlorentin Worgotter

While humans can easily separate unknown objects into meaningful parts, recent segmentation methods can only achieve similar partitionings by training on human-annotated ground-truth data. Here we introduce a bottom-up method for segmenting 3D point clouds into functional parts which does not require supervision and achieves equally good results... (read more)

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