Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation 论文

2020IEEE Geoscience and Remote Sensing Magazine引用 388
3D Shape Modeling and AnalysisRemote Sensing and LiDAR ApplicationsAdvanced Neural Network Applications

摘要

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.

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