Large-Scale Point Cloud Semantic Segmentation with Superpoint Graphs

We propose a novel deep learning-based framework to tackle the challenge of semantic segmentation of large-scale 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...

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Bibliographic Details
Published in2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 4558 - 4567
Main Authors Landrieu, Loic, Simonovsky, Martin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2018
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