Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

  title={Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs},
  author={Lo{\"i}c Landrieu and Martin Simonovsky},
We propose a novel deep learning-based framework to tackle the challenge of semantic segmentation of largescale point clouds of millions of points. We argue that the organization of 3D point clouds can be efficiently captured by a structure called superpoint graph (SPG), derived from a partition of the scanned scene into geometrically homogeneous elements. SPGs offer a compact yet rich representation of contextual relationships between object parts, which is then exploited by a graph… CONTINUE READING