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.