Authors:
D. Moltisanti
;
G. M. Farinella
;
R. E. Musumeci
;
E. Foti
and
S. Battiato
Affiliation:
University of Catania, Italy
Keyword(s):
3D Breakwaters Monitoring, RGB-D Cameras, Iterative Closest Point, Point Cloud Alignment
Related
Ontology
Subjects/Areas/Topics:
Applications and Services
;
Computer Vision, Visualization and Computer Graphics
;
Enterprise Information Systems
;
Human and Computer Interaction
;
Human-Computer Interaction
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
Abstract:
Breakwaters are marine structures useful for the safe harbouring of ships and the protection of harbours from
sedimentation and coasts from erosion. Breakwater monitoring is then a critical part of coastal engineering
research, since it is crucial to know the state of a breakwater at any time in order to evaluate its health in terms
of stability and plan restoration works. In this paper we present a novel breakwaters monitoring approach
based on the analysis of 3D point clouds acquired with RGB-D cameras. The proposed method is able to
estimate roto-translation movements of the Accropodes, building the armour layer of a breakwater, both under
and above still water level, without any need of human interaction. We tested the proposed monitoring method
with several laboratory experiments. The experiments consisted of the hitting of a scale model barrier by
waves in a laboratory tank, aiming to asses the robustness of a particular configuration of the breakwater (that
is, the ar
rangement of the Accropodes building the structure). During tests, several 3D depth maps of the
barrier have been taken with a RGB-D camera. These point clouds, hence, have been processed to compute
roto-translation movement, in order to monitor breakwater conditions and estimate its damage over time.
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