Remote scientific visualization of progressive 3D meshes with X3D

  • Authors:
  • Adrien Maglo;Ho Lee;Guillaume Lavoué;Christophe Mouton;Céline Hudelot;Florent Dupont

  • Affiliations:
  • MAS, Ecole Centrale Paris;Universite de Lyon, CNRS;Université de Lyon, CNRS, INSA-Lyon, LIRIS;EDF R&D;MAS, Ecole Centrale Paris;Université de Lyon, CNRS

  • Venue:
  • Proceedings of the 15th International Conference on Web 3D Technology
  • Year:
  • 2010

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Abstract

This paper presents a framework, integrated into the X3D file format, for the streaming of 3D content in the context of remote scientific visualization; a progressive mesh compression method is proposed that can handle 3D objects associated with attributes like colors, while producing high quality intermediate Levels Of Detail (LOD). Efficient adaptation mechanisms are also proposed so as to optimize the LOD management of the 3D scene according to different constraints like the network bandwidth, the device graphic capability, the display resolution and the user preferences. Experiments demonstrate the efficiency of our approach in scientific visualization scenarii.