Learning to Optimally Segment Point Clouds

10 Dec 2019Peiyun HuDavid HeldDeva Ramanan

We focus on the problem of class-agnostic instance segmentation of LiDAR point clouds. We propose an approach that combines graph-theoretic search with data-driven learning: it searches over a set of candidate segmentations and returns one where individual segments score well according to a data-driven point-based model of "objectness"... (read more)

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