3D Graph Reconstruction from 2D Graphs Projections and Univariate Positional Traces in 3-Space - With Application to 3D Reconstruction of Road’s Interchanges
Nir Hershko, Gershon Elber
2014
Abstract
In this work, we consider a reconstruction problem of a 3D graph, based on its 2D projected model and imprecise 3D positional traces along it, and propose a general method to achieve this reconstruction. Then, we examine a specific application of this problem—3D reconstruction of road’s interchanges from 2D maps and GPS traces. We demonstrate the algorithm and show that the implementation of this method yields a robust and accurate solution compared to real ground truth data.
DownloadPaper Citation
in Harvard Style
Hershko N. and Elber G. (2014). 3D Graph Reconstruction from 2D Graphs Projections and Univariate Positional Traces in 3-Space - With Application to 3D Reconstruction of Road’s Interchanges . In Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014) ISBN 978-989-758-002-4, pages 13-21. DOI: 10.5220/0004652500130021
in Bibtex Style
@conference{grapp14,
author={Nir Hershko and Gershon Elber},
title={3D Graph Reconstruction from 2D Graphs Projections and Univariate Positional Traces in 3-Space - With Application to 3D Reconstruction of Road’s Interchanges},
booktitle={Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014)},
year={2014},
pages={13-21},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004652500130021},
isbn={978-989-758-002-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2014)
TI - 3D Graph Reconstruction from 2D Graphs Projections and Univariate Positional Traces in 3-Space - With Application to 3D Reconstruction of Road’s Interchanges
SN - 978-989-758-002-4
AU - Hershko N.
AU - Elber G.
PY - 2014
SP - 13
EP - 21
DO - 10.5220/0004652500130021