EKNet: Graph Structure Feature Extraction and Registration for Collaborative 3D Reconstruction in Architectural Scenes
Collaborative geometric reconstruction of building structures can significantly reduce communication consumption for data sharing, protect privacy, and provide support for large-scale robot application management. In recent years, geometric reconstruction of building structures has been partially st...
Saved in:
| Main Authors: | Changyu Qian, Hanqiang Deng, Xiangrong Ni, Dong Wang, Bangqi Wei, Hao Chen, Jian Huang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/13/7133 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An automated construction method of 3D knowledge graph based on multi-agent systems in virtual geographic scene
by: Yukun Guo, et al.
Published: (2025-08-01) -
Methods of Digital Bite Registration: A Narrative Review
by: Maryam Jahangiri, et al.
Published: (2025-05-01) -
MEGDTA: multi-modal drug-target affinity prediction based on protein three-dimensional structure and ensemble graph neural network
by: Zhanwei Hou, et al.
Published: (2025-08-01) -
Effect of digital bite registration condition and scanner type on the accuracy of 3D printed occlusal splints
by: Amirtaher Mirmortazavi, et al.
Published: (2025-06-01) -
Some Topological Concepts Via Graph Theory
by: Taha H. Jasim, et al.
Published: (2020-08-01)