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Area Estimation of Deep-Sea Surfaces from Oblique Still Images
Estimating the area of seabed surfaces from pictures or videos is an important problem in seafloor surveys. This task is complex to achieve with moving platforms such as submersibles, towed or remotely operated vehicles (ROV), where the recording camera is typically not static and provides an obliqu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4503614/ https://www.ncbi.nlm.nih.gov/pubmed/26177287 http://dx.doi.org/10.1371/journal.pone.0133290 |
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author | Dias, Frederico Carvalho Gomes-Pereira, José Tojeira, Inês Souto, Miguel Afonso, Andreia Calado, António Madureira, Pedro Campos, Aldino |
author_facet | Dias, Frederico Carvalho Gomes-Pereira, José Tojeira, Inês Souto, Miguel Afonso, Andreia Calado, António Madureira, Pedro Campos, Aldino |
author_sort | Dias, Frederico Carvalho |
collection | PubMed |
description | Estimating the area of seabed surfaces from pictures or videos is an important problem in seafloor surveys. This task is complex to achieve with moving platforms such as submersibles, towed or remotely operated vehicles (ROV), where the recording camera is typically not static and provides an oblique view of the seafloor. A new method for obtaining seabed surface area estimates is presented here, using the classical set up of two laser devices fixed to the ROV frame projecting two parallel lines over the seabed. By combining lengths measured directly from the image containing the laser lines, the area of seabed surfaces is estimated, as well as the camera’s distance to the seabed, pan and tilt angles. The only parameters required are the distance between the parallel laser lines and the camera’s horizontal and vertical angles of view. The method was validated with a controlled in situ experiment using a deep-sea ROV, yielding an area estimate error of 1.5%. Further applications and generalizations of the method are discussed, with emphasis on deep-sea applications. |
format | Online Article Text |
id | pubmed-4503614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45036142015-07-17 Area Estimation of Deep-Sea Surfaces from Oblique Still Images Dias, Frederico Carvalho Gomes-Pereira, José Tojeira, Inês Souto, Miguel Afonso, Andreia Calado, António Madureira, Pedro Campos, Aldino PLoS One Research Article Estimating the area of seabed surfaces from pictures or videos is an important problem in seafloor surveys. This task is complex to achieve with moving platforms such as submersibles, towed or remotely operated vehicles (ROV), where the recording camera is typically not static and provides an oblique view of the seafloor. A new method for obtaining seabed surface area estimates is presented here, using the classical set up of two laser devices fixed to the ROV frame projecting two parallel lines over the seabed. By combining lengths measured directly from the image containing the laser lines, the area of seabed surfaces is estimated, as well as the camera’s distance to the seabed, pan and tilt angles. The only parameters required are the distance between the parallel laser lines and the camera’s horizontal and vertical angles of view. The method was validated with a controlled in situ experiment using a deep-sea ROV, yielding an area estimate error of 1.5%. Further applications and generalizations of the method are discussed, with emphasis on deep-sea applications. Public Library of Science 2015-07-15 /pmc/articles/PMC4503614/ /pubmed/26177287 http://dx.doi.org/10.1371/journal.pone.0133290 Text en © 2015 Dias et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Dias, Frederico Carvalho Gomes-Pereira, José Tojeira, Inês Souto, Miguel Afonso, Andreia Calado, António Madureira, Pedro Campos, Aldino Area Estimation of Deep-Sea Surfaces from Oblique Still Images |
title | Area Estimation of Deep-Sea Surfaces from Oblique Still Images |
title_full | Area Estimation of Deep-Sea Surfaces from Oblique Still Images |
title_fullStr | Area Estimation of Deep-Sea Surfaces from Oblique Still Images |
title_full_unstemmed | Area Estimation of Deep-Sea Surfaces from Oblique Still Images |
title_short | Area Estimation of Deep-Sea Surfaces from Oblique Still Images |
title_sort | area estimation of deep-sea surfaces from oblique still images |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4503614/ https://www.ncbi.nlm.nih.gov/pubmed/26177287 http://dx.doi.org/10.1371/journal.pone.0133290 |
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