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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

ISBN: 978-989-758-354-4

ISSN: 2184-4321

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.

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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 - Volume 5: VISAPP, ISBN 978-989-758-354-4; ISSN 2184-4321, 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 - 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 - 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

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