Recent Advancements in Learning Algorithms for Point Clouds: An Updated Overview

Recent advancements in self-driving cars, robotics, and remote sensing have widened the range of applications for 3D Point Cloud (PC) data. This data format poses several new issues concerning noise levels, sparsity, and required storage space; as a result, many recent works address PC problems usin...

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Detalles Bibliográficos
Autores principales: Camuffo, Elena, Mari, Daniele, Milani, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963024/
https://www.ncbi.nlm.nih.gov/pubmed/35214254
http://dx.doi.org/10.3390/s22041357

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963024/
https://www.ncbi.nlm.nih.gov/pubmed/35214254
http://dx.doi.org/10.3390/s22041357

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