: 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.

Structural change detection by direct 3D model comparison / Marco Fanfani; Carlo Colombo. - STAMPA. - V:(2019), pp. 760-767. (Intervento presentato al convegno 14th International Conference on Computer Vision Theory and Applications VISAPP 2019 tenutosi a Prague, Czech Republic nel February 2019) [10.5220/0007260607600767].

Structural change detection by direct 3D model comparison

Marco Fanfani;Carlo Colombo
2019

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.
2019
14th International Conference on Computer Vision Theory and Applications VISAPP 2019
14th International Conference on Computer Vision Theory and Applications VISAPP 2019
Prague, Czech Republic
February 2019
Marco Fanfani; Carlo Colombo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1150223
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