XR-Assisted 3D Reconstruction: Improving Model Quality Through Real-Time Feedback

Colin Ummerle, Colin Ummerle, Markus Friedrich

2025

Abstract

This paper explores the potential for integrating extended reality (XR) technologies into image-based 3D reconstruction workflows to better assist users in the image acquisition process. The delay between image acquisition and visualization of the final 3D model often leads to data gaps and incomplete reconstructions, requiring manual post-processing. The proposed XR-based assistance system provides real-time feedback during scanning, significantly improving the quality of the results. The system uses off-the-shelf hardware to reduce overall costs. We compare the system with a traditional method as baseline and prove its effectiveness by a user study that measures both the user experience and the quality of the resulting 3D models.

Paper Citation

in Harvard Style

Ummerle C. and Friedrich M. (2025). XR-Assisted 3D Reconstruction: Improving Model Quality Through Real-Time Feedback. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP; ISBN 978-989-758-728-3, SciTePress, pages 619-626. DOI: 10.5220/0013259800003912

in Bibtex Style

@conference{hucapp25,
author={Colin Ummerle and Markus Friedrich},
title={XR-Assisted 3D Reconstruction: Improving Model Quality Through Real-Time Feedback},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP},
year={2025},
pages={619-626},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013259800003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: HUCAPP
TI - XR-Assisted 3D Reconstruction: Improving Model Quality Through Real-Time Feedback
SN - 978-989-758-728-3
AU - Ummerle C.
AU - Friedrich M.
PY - 2025
SP - 619
EP - 626
DO - 10.5220/0013259800003912
PB - SciTePress