Work

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

Year: 2020

Type: article

Abstract: 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.

Source: IEEE Geoscience and Remote Sensing Magazine

DOI: 10.1109/mgrs.2019.2937630

Authors: Yuxing Xie, Jiaojiao Tian, Xiao Xiang Zhu

Institutions: Technical University of Munich, China University of Geosciences, China University of Geosciences (Beijing), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)

Language: English

Topic: 3D Shape Modeling and Analysis

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: green