Structural Change Detection by Direct 3D Model Comparison

Marco Fanfani, Carlo Colombo

Abstract

Tracking the structural evolution of a site has important fields of application, ranging from documenting the excavation progress during an archaeological campaign, to hydro-geological monitoring. In this paper, we propose a simple yet effective method that exploits vision-based reconstructed 3D models of a time-changing environment to automatically detect any geometric changes in it. Changes are localized by direct comparison of time-separated 3D point clouds according to a majority voting scheme based on three criteria that compare density, shape and distribution of 3D points. As a by-product, a 4D (space + time) map of the scene can also be generated and visualized. Experimental results obtained with two distinct scenarios (object removal and object displacement) provide both a qualitative and quantitative insight into method accuracy.

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Paper Citation


in Harvard Style

Fanfani M. and Colombo C. (2019). Structural Change Detection by Direct 3D Model Comparison.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-354-4, pages 760-767. DOI: 10.5220/0007260607600767


in Bibtex Style

@conference{visapp19,
author={Marco Fanfani and Carlo Colombo},
title={Structural Change Detection by Direct 3D Model Comparison},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2019},
pages={760-767},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007260607600767},
isbn={978-989-758-354-4},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - Structural Change Detection by Direct 3D Model Comparison
SN - 978-989-758-354-4
AU - Fanfani M.
AU - Colombo C.
PY - 2019
SP - 760
EP - 767
DO - 10.5220/0007260607600767