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Authors: Marco Fanfani and Carlo Colombo

Affiliation: Department of Information Engineering (DINFO), University of Florence, Via S. Marta 3, 50139, Florence and Italy

Keyword(s): Change Detection, 3D Reconstruction, Structure from Motion.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image and Video Analysis ; Image-Based Modeling ; Imaging for Cultural Heritage (Modeling/Simulation, Virtual Restoration) ; Pattern Recognition ; Shape Representation and Matching ; Software Engineering

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 (VISIGRAPP 2019) - Volume 5: VISAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 760-767. DOI: 10.5220/0007260607600767

@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 (VISIGRAPP 2019) - Volume 5: VISAPP},
year={2019},
pages={760-767},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007260607600767},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 5: VISAPP
TI - Structural Change Detection by Direct 3D Model Comparison
SN - 978-989-758-354-4
IS - 2184-4321
AU - Fanfani, M.
AU - Colombo, C.
PY - 2019
SP - 760
EP - 767
DO - 10.5220/0007260607600767
PB - SciTePress