Semantic segmentation of point clouds of ancient buildings based on weak supervision

Abstract Semantic segmentation of point clouds of ancient buildings plays an important role in Historical Building Information Modelling (HBIM). As the annotation task of point cloud of ancient architecture is characterised by strong professionalism and large workload, which greatly restricts the ap...

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Bibliographic Details

Published in:	Heritage Science
Main Authors:	Jianghong Zhao, Haiquan Yu, Xinnan Hua, Xin Wang, Jia Yang, Jifu Zhao, Ailin Xu
Format:	Article
Language:	English
Published:	SpringerOpen 2024-07-01
Subjects:	3D point cloud Weakly supervised Deep learning
Online Access:	https://doi.org/10.1186/s40494-024-01353-8