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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Detalles Bibliográficos

Principais autores:	Jianghong Zhao, Haiquan Yu, Xinnan Hua, Xin Wang, Jia Yang, Jifu Zhao, Ailin Xu
Formato:	Artigo
Idioma:	Inglês
Publicado:	SpringerOpen 2024-07-01
Series:	Heritage Science
Assuntos:	3D point cloud Weakly supervised Deep learning
Acceso en liña:	https://doi.org/10.1186/s40494-024-01353-8
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