Sonar explorer: a new tool for visualization of fish schools from 3D Sonar Data

  • Authors:
  • Jean-Paul Balabanian;Ivan Viola;Egil Ona;Ruben Patel;Eduard Gröller

  • Affiliations:
  • Department of Informatics, University of Bergen, Norway;Department of Informatics, University of Bergen, Norway;Institute of Marine Research, Norway;Institute of Marine Research, Norway;Institute of Computer Graphics and Algorithms, Vienna University of Technology, Austria and Department of Informatics, University of Bergen, Norway

  • Venue:
  • EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
  • Year:
  • 2007

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Abstract

We present a novel framework for analysis and visualization of fish schools in 3D sonar surveys. The 3D sonar technology is new and there have not been applications to visualize the data in 3D. We have created an application called Sonar Explorer that satisfies the requirements of domain scientists. Sonar Explorer provides easy and intuitive semi-automatic fish school tracking and survey map generation. The overall pipeline is described and all pipeline stages relevant for visualization are highlighted. We present techniques to deal with 3D sonar data specifics: highly anisotropic volume data aligned on a curvilinear grid. Domain scientists provide initial impressions on interaction and outlook.