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A comparison of image based 3D recovery methods for underwater inspections
Date Issued
2014-07-08
Date Available
2019-07-12T10:28:23Z
Abstract
Offshore structures can be subjected to millions of variable amplitude load cycles during their service life which is the primary cause of structural deterioration. Such fatigue loading is exacerbated by marine growth colonization which changes the surface roughness characteristics and increases the diameter of structural members. Having an accurate knowledge of these parameters is essential for analyzing the increased hydrodynamic forces acting on the structure. This paper addresses the issue of acquiring shape information by comparing two popular classes of image based shape recovery techniques; stereo photography and Structure from Motion (SfM). Stereo photography utilises a dual camera set-up to simultaneously photograph an object of interest from slightly different viewpoints, whilst SfM methods generally involve a single camera moving in a static scene. In this paper, these techniques are performed on a controlled shape in an underwater setting, as well as synthetic data which allows for an irregular shape typical of marine growth to be tested whilst still having knowledge of the exact geometrical shape. The results reveal that the self-calibrated stereo approach fared well at getting an appropriately scaled full metric reconstruction, whilst the SfM approach was more susceptible to breaking down.
Sponsorship
Irish Research Council for Science, Engineering and Technology
Type of Material
Conference Publication
Publisher
INRIA
Start Page
671
End Page
678
Copyright (Published Version)
2014 Inria
Web versions
Language
English
Status of Item
Not peer reviewed
Journal
7th European Workshop on Structural Health Monitoring, EWSHM 2014 - 2nd European Conference of the Prognostics and Health Management (PHM) Society
Conference Details
EWSHM 2014: 7th European Workshop on Structural Health Monitoring, IFFSTTAR, Inria, Université de Nantes, Nantes, France, 8-11 July 2014
This item is made available under a Creative Commons License
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Name
paper_157.pdf
Size
616.15 KB
Format
Adobe PDF
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