Multi-View 3D Reconstruction for Construction Site Monitoring

Guangan Chen, Michiel Vlaminck, Wilfried Philips, Hiep Luong

2024

Abstract

Monitoring construction sites is pivotal in effective construction management. Building Information Modeling (BIM) is vital for creating detailed building models and comparing actual construction with planned designs. For this comparison, a 3D model of the building is often generated using images captured by handheld cameras or Unmanned Aerial Vehicles. However, this approach does not provide real-time spatial monitoring of on-site activities within the BIM model. To address this challenge, our study utilizes fixed cameras placed at predetermined locations within an actual construction site. We captured images from these fixed viewpoints and used classical multi-view stereo techniques to create a 3D point cloud representing the as-built building. This point cloud is then aligned with the as-planned BIM model through point cloud registration. In addition, we proposed an algorithm to convert SfM reprojection error into a value with metric units, resulting in a mean SfM reprojection error of 4.17cm. We also created voxel volumes to track and visualize construction activities within BIM coordinate system, enhancing real-time site monitoring and improving construction management.

Paper Citation

in Harvard Style

Chen G., Vlaminck M., Philips W. and Luong H. (2024). Multi-View 3D Reconstruction for Construction Site Monitoring. In Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP; ISBN 978-989-758-679-8, SciTePress, pages 469-476. DOI: 10.5220/0012308300003660

in Bibtex Style

@conference{visapp24,
author={Guangan Chen and Michiel Vlaminck and Wilfried Philips and Hiep Luong},
title={Multi-View 3D Reconstruction for Construction Site Monitoring},
booktitle={Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP},
year={2024},
pages={469-476},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012308300003660},
isbn={978-989-758-679-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP
TI - Multi-View 3D Reconstruction for Construction Site Monitoring
SN - 978-989-758-679-8
AU - Chen G.
AU - Vlaminck M.
AU - Philips W.
AU - Luong H.
PY - 2024
SP - 469
EP - 476
DO - 10.5220/0012308300003660
PB - SciTePress