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| Link zu diesem Datensatz | https://d-nb.info/1350596116 |
| Titel | Deep Learning for 3D Point Clouds / by Wei Gao, Ge Li |
| Person(en) |
Gao, Wei (Verfasser) Li, Ge (Verfasser) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Singapore : Springer Nature Singapore, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XVI, 322 p. 118 illus., 98 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-981-9795-69-7 Printed edition:: ISBN: 978-981-9795-71-0 Printed edition:: ISBN: 978-981-9795-72-7 |
| Inhalt | Chapter 1. Introduction to 3D Point Clouds: Datasets and Perception -- Chapter 2. Learning Basics for 3D Point Clouds -- Chapter 3. Deep Learning-based Point Cloud Enhancement I -- Chapter 4. Deep Learning-based Point Cloud Enhancement II -- Chapter 5. Deep Learning-based Point Cloud Analysis I -- Chapter 6. Deep Learning-based Point Cloud Analysis II -- Chapter 7. Point Cloud Pre-trained Models and Large Models -- Chapter 8. Point Cloud-Language Multi-modal Learning -- Chapter 9. Open Source Projects for 3D Point Clouds -- Chapter 10. Typical Engineering Applications of 3D Point Clouds -- Chapter 11. FutureWork on Deep Learning-based Point Cloud Technologies |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2412100336151.443170184528 DOI: 10.1007/978-981-97-9570-3 |
| URL | https://doi.org/10.1007/978-981-97-9570-3 |
| ISBN/Einband/Preis | 978-981-97-9570-3 |
| Sprache(n) | Englisch (eng) |
| DDC-Notation | 004.678 (maschinell ermittelte DDC-Kurznotation) |
| Sachgruppe(n) | 004 Informatik |
| Online-Zugriff | Archivobjekt öffnen |
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