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Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation
IEEE Geoscience and Remote Sensing Magazine ( IF 16.2 ) Pub Date : 2020-12-01 , DOI: 10.1109/mgrs.2019.2937630
Yuxing Xie , Jiaojiao TIAN , XiaoXiang Zhu

Ripe with possibilities offered by deep-learning techniques and useful in applications related to remote sensing, computer vision, and robotics, 3D point cloud semantic segmentation (PCSS) and point cloud segmentation (PCS) are attracting increasing interest. This article summarizes available data sets and relevant studies on recent developments in PCSS and PCS.

中文翻译:

在 3D 中将点与标签连接起来:点云语义分割回顾

随着深度学习技术提供的可能性以及在与遥感、计算机视觉和机器人技术相关的应用中的有用性成熟,3D 点云语义分割 (PCSS) 和点云分割 (PCS) 正吸引着越来越多的兴趣。本文总结了有关 PCSS 和 PCS 最新发展的可用数据集和相关研究。
更新日期:2020-12-01
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