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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...

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Autores principales: Dias, Frederico Carvalho, Gomes-Pereira, José, Tojeira, Inês, Souto, Miguel, Afonso, Andreia, Calado, António, Madureira, Pedro, Campos, Aldino
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
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.
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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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