A Benchmark for 3D Reconstruction from Aerial Imagery in an Urban Environment

Susana Ruano, Aljosa Smolic

2021

Abstract

This paper presents a novel benchmark to evaluate 3D reconstruction methods using aerial images in a large-scale urban scenario. In particular, it presents an evaluation of open-source state-of-the-art pipelines for image-based 3D reconstruction including, for the first time, an analysis per urban object category. Therefore, the standard evaluation presented in generalist image-based reconstruction benchmarks is extended and adapted to the city. Furthermore, our benchmark uses the densest annotated LiDAR point cloud available at city scale as ground truth and the imagery captured alongside. Additionally, an online evaluation server will be made available to the community.

Paper Citation

in Harvard Style

Ruano S. and Smolic A. (2021). A Benchmark for 3D Reconstruction from Aerial Imagery in an Urban Environment. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP; ISBN 978-989-758-488-6, SciTePress, pages 732-741. DOI: 10.5220/0010338407320741

in Bibtex Style

@conference{visapp21,
author={Susana Ruano and Aljosa Smolic},
title={A Benchmark for 3D Reconstruction from Aerial Imagery in an Urban Environment},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP},
year={2021},
pages={732-741},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010338407320741},
isbn={978-989-758-488-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 5: VISAPP
TI - A Benchmark for 3D Reconstruction from Aerial Imagery in an Urban Environment
SN - 978-989-758-488-6
AU - Ruano S.
AU - Smolic A.
PY - 2021
SP - 732
EP - 741
DO - 10.5220/0010338407320741
PB - SciTePress