A structured light method for underwater surface reconstruction

Amin Sarafraz, Brian K. Haus

Research output: Contribution to journalArticle

12 Scopus citations

Abstract

A new structured-light method for 3D imaging has been developed which can simultaneously estimate both the geometric shape of the water surface and the geometric shape of underwater objects. The method requires only a single image and thus can be applied to dynamic as well as static scenes. Experimental results show the utility of this method in non-invasive underwater 3D reconstruction applications. The performance of the new method is studied through a sensitivity analysis for different parameters of the suggested method.

Original languageEnglish (US)
Pages (from-to)40-52
Number of pages13
JournalISPRS Journal of Photogrammetry and Remote Sensing
Volume114
DOIs
StatePublished - Apr 1 2016

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Keywords

  • 3D reconstruction
  • Structured light
  • Water surface estimation

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Computer Science Applications
  • Computers in Earth Sciences

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