Cargando…
ResSANet: Learning Geometric Information for Point Cloud Processing
Point clouds with rich local geometric information have potentially huge implications in several applications, especially in areas of robotic manipulation and autonomous driving. However, most point cloud processing methods cannot extract enough geometric features from a raw point cloud, which restr...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8124999/ https://www.ncbi.nlm.nih.gov/pubmed/34066612 http://dx.doi.org/10.3390/s21093227 |