Area Estimation of Deep-Sea Surfaces from Oblique Still Images

PLoS One. 2015 Jul 15;10(7):e0133290. doi: 10.1371/journal.pone.0133290. eCollection 2015.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Image Processing, Computer-Assisted*
  • Imaging, Three-Dimensional
  • Lasers
  • Optical Phenomena
  • Photography / instrumentation
  • Reproducibility of Results
  • Seawater*
  • Surface Properties
  • Uncertainty

Grants and funding

JG-P was supported by the doctoral grant from the Regional Directorate for Education, Science and Culture of the Regional Government of the Azores (M3.1.2/F/062/2011). URL: http://educacaocienciaculturaazoresgov.pai.pt/. The other authors received no specific funding for this work.