Performance assessment in solving the correspondence problem in underwater stereo imagery

Amin Sarafraz, Shahriar Negahdaripour, Yoav Y. Schechner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Binocular stereo vision is a common technique for the recovery of three-dimensional shape. Underwater, backscatter degrades the image quality and consequently the performance of stereo vision-based 3-D reconstruction techniques. Recently, we proposed a method that exploits the depth cue in the backscatter components of stereo pairs, as an additional constraint for recovering the 3-D scene structure. In this paper, we compare the performance of this method with the application of classic normalized SSD-based minimization to raw underwater data, as well as to de-scattered images. Results of experiments with synthetic and real data are presented to assess the performance of our method with these other techniques.

Original languageEnglish (US)
Title of host publicationMTS/IEEE Seattle, OCEANS 2010
DOIs
StatePublished - 2010
EventMTS/IEEE Seattle, OCEANS 2010 - Seattle, WA, United States
Duration: Sep 20 2010Sep 23 2010

Publication series

NameMTS/IEEE Seattle, OCEANS 2010

Other

OtherMTS/IEEE Seattle, OCEANS 2010
CountryUnited States
CitySeattle, WA
Period9/20/109/23/10

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Ocean Engineering

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