Feature-preserving simplification framework for 3D point cloud

To obtain a higher simplification rate while retaining geometric features, a simplification framework for the point cloud is proposed. Firstly, multi-angle images of the original point cloud are obtained with a virtual camera. Then, feature lines of each image are extracted by deep neural network. F...

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Detalles Bibliográficos
Autores principales: Xu, Xueli, Li, Kang, Ma, Yifei, Geng, Guohua, Wang, Jingyu, Zhou, Mingquan, Cao, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177861/
https://www.ncbi.nlm.nih.gov/pubmed/35676310
http://dx.doi.org/10.1038/s41598-022-13550-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177861/
https://www.ncbi.nlm.nih.gov/pubmed/35676310
http://dx.doi.org/10.1038/s41598-022-13550-1

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