A Refinement Reconstruction Method for Indoor Structures Based on 3D Point Cloud Template Matching
Indoor 3D reconstruction is a significant research topic in computer vision and computer graphics, focusing on the construction of complete and accurate models of indoor scenes from 3D point cloud data. Traditional data-driven methods often demonstrate poor robustness, low efficiency, and insufficie...
Saved in:
| Main Authors: | B. Cai, S. Tang, W. Wang, L. Xie, X. Li, R. Guo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
|
| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/241/2025/isprs-archives-XLVIII-G-2025-241-2025.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Automatic 3D reconstruction of indoor building point clouds under occlusion based on gestalt rules
by: Xiaoli Liang, et al.
Published: (2025-08-01) -
Generation of Structural Components for Indoor Spaces from Point Clouds
by: Junhyuk Lee, et al.
Published: (2025-05-01) -
Improved Indoor 3D Point Cloud Semantic Segmentation Method Based on PointNet++
by: Xingfei Tan, et al.
Published: (2025-01-01) -
Building Lightweight 3D Indoor Models from Point Clouds with Enhanced Scene Understanding
by: Minglei Li, et al.
Published: (2025-02-01) -
Semantics-guided spatial data generation for complex large-scale indoor map from 3D colorized point clouds
by: Z. Wang, et al.
Published: (2025-07-01)