• DocumentCode
    2703888
  • Title

    Reconstructing pavlopetri: Mapping the world´s oldest submerged town using stereo-vision

  • Author

    Mahon, Ian ; Pizarro, Oscar ; Johnson-Roberson, Matthew ; Friedman, Ariell ; Williams, Stefan B. ; Henderson, Jon C.

  • Author_Institution
    Australian Centre for Field Robot., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2011
  • fDate
    9-13 May 2011
  • Firstpage
    2315
  • Lastpage
    2321
  • Abstract
    This paper presents a vision-based underwater mapping system, which is demonstrated in an archaeological survey of the submerged ancient town of Pavlopetri. The snorkeler or diver operated system provides a low cost alternative to the use of an AUV or ROV in shallow waters. The system produces textured three-dimensional models, which contain significantly more information than traditional archaeological survey methods. The photo-realistic maps that are produced allow further archaeological research to be performed, without diving on a site during the restrictive time limitations of permits and field seasons. The hardware and software components of the mapping system and its method of operation are described, and initial results are presented and discussed.
  • Keywords
    SLAM (robots); archaeology; image texture; remotely operated vehicles; solid modelling; stereo image processing; underwater vehicles; AUV; Pavlopetri; ROV; archaeological survey; autonomous underwater vehicle; diver operated system; hardware component; photorealistic maps; remotely operated vehicle; shallow waters; snorkeler; software component; stereo vision based underwater mapping system; submerged ancient town; textured three-dimensional model; Cameras; Cities and towns; Image color analysis; Image reconstruction; Simultaneous localization and mapping; Three dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-61284-386-5
  • Type

    conf

  • DOI
    10.1109/ICRA.2011.5980536
  • Filename
    5980536