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
-
Surface Reconstruction from Unorganized 3D Point Clouds
by: Keller, Patric, et al.
Published: (2012) -
Automated 3D Building Model Reconstruction using Orthophotos and Point Clouds
by: D. M. Bui, et al.
Published: (2025-07-01) -
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) -
AIM2PC: Aerial Image to 3D Building Point Cloud Reconstruction
by: S. Turki, et al.
Published: (2025-08-01) -
Motion Constrained Point Cloud Matching for Maritime Tracking
by: Nicholas Dalhaug, et al.
Published: (2025-01-01)