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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Published in | 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp. 4558 - 4567 |
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Main Authors | , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.06.2018
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Subjects | |
Online Access | Get full text |
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