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Tools to Perform Local Dense 3D Reconstruction of Shallow Water Seabed ‡
Tasks such as distinguishing or identifying individual objects of interest require the production of dense local clouds at the scale of these individual objects of interest. Due to the physical and dynamic properties of an underwater environment, the usual dense matching algorithms must be rethought...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883403/ https://www.ncbi.nlm.nih.gov/pubmed/27196913 http://dx.doi.org/10.3390/s16050712 |
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author | Avanthey, Loïca Beaudoin, Laurent Gademer, Antoine Roux, Michel |
author_facet | Avanthey, Loïca Beaudoin, Laurent Gademer, Antoine Roux, Michel |
author_sort | Avanthey, Loïca |
collection | PubMed |
description | Tasks such as distinguishing or identifying individual objects of interest require the production of dense local clouds at the scale of these individual objects of interest. Due to the physical and dynamic properties of an underwater environment, the usual dense matching algorithms must be rethought in order to be adaptive. These properties also imply that the scene must be observed at close range. Classic robotized acquisition systems are oversized for local studies in shallow water while the systematic acquisition of data is not guaranteed with divers. We address these two major issues through a multidisciplinary approach. To efficiently acquire on-demand stereoscopic pairs using simple logistics in small areas of shallow water, we devised an agile light-weight dedicated system which is easy to reproduce. To densely match two views in a reliable way, we devised a reconstruction algorithm that automatically accounts for the dynamics, variability and light absorption of the underwater environment. Field experiments in the Mediterranean Sea were used to assess the results. |
format | Online Article Text |
id | pubmed-4883403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-48834032016-05-27 Tools to Perform Local Dense 3D Reconstruction of Shallow Water Seabed ‡ Avanthey, Loïca Beaudoin, Laurent Gademer, Antoine Roux, Michel Sensors (Basel) Article Tasks such as distinguishing or identifying individual objects of interest require the production of dense local clouds at the scale of these individual objects of interest. Due to the physical and dynamic properties of an underwater environment, the usual dense matching algorithms must be rethought in order to be adaptive. These properties also imply that the scene must be observed at close range. Classic robotized acquisition systems are oversized for local studies in shallow water while the systematic acquisition of data is not guaranteed with divers. We address these two major issues through a multidisciplinary approach. To efficiently acquire on-demand stereoscopic pairs using simple logistics in small areas of shallow water, we devised an agile light-weight dedicated system which is easy to reproduce. To densely match two views in a reliable way, we devised a reconstruction algorithm that automatically accounts for the dynamics, variability and light absorption of the underwater environment. Field experiments in the Mediterranean Sea were used to assess the results. MDPI 2016-05-17 /pmc/articles/PMC4883403/ /pubmed/27196913 http://dx.doi.org/10.3390/s16050712 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Avanthey, Loïca Beaudoin, Laurent Gademer, Antoine Roux, Michel Tools to Perform Local Dense 3D Reconstruction of Shallow Water Seabed ‡ |
title | Tools to Perform Local Dense 3D Reconstruction of Shallow Water Seabed ‡ |
title_full | Tools to Perform Local Dense 3D Reconstruction of Shallow Water Seabed ‡ |
title_fullStr | Tools to Perform Local Dense 3D Reconstruction of Shallow Water Seabed ‡ |
title_full_unstemmed | Tools to Perform Local Dense 3D Reconstruction of Shallow Water Seabed ‡ |
title_short | Tools to Perform Local Dense 3D Reconstruction of Shallow Water Seabed ‡ |
title_sort | tools to perform local dense 3d reconstruction of shallow water seabed ‡ |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4883403/ https://www.ncbi.nlm.nih.gov/pubmed/27196913 http://dx.doi.org/10.3390/s16050712 |
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