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Title: Area Estimation of Deep-Sea Surfaces from Oblique Still Images
Authors: Dias, Frederico
Gomes-Pereira, José
Tojeira, Inês
Souto, Miguel
Afonso, Andreia
Calado, António
Madureira, Pedro
Campos, Aldino
Editors: Coles, Jonathan A
Issue Date: 2015
Publisher: Plos One
Citation: Dias FC, Gomes-Pereira J, Tojeira I, Souto M, Afonso A, Calado A, et al. (2015) Area Estimation of Deep-Sea Surfaces from Oblique Still Images. PLoS ONE 10(7): e0133290. doi:10.1371/journal. pone.0133290
Abstract: 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.
Type: article
Appears in Collections:CGE - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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