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A predictive approach for a real-time remote visualization of large meshes

Abstract : Remote access to large meshes is the subject of studies since several years. We propose in this paper a contribution to the problem of remote mesh viewing. We work on triangular meshes. After a study of existing methods of remote viewing, we propose a visualization approach based on a client-server architecture, in which almost all operations are performed on the server. Our approach includes three main steps: a first step of partitioning the original mesh, generating several fragments of the original mesh that can be supported by the supposed smaller Transfer Control Protocol (TCP) window size of the network, a second step called pre-simplification of the mesh partitioned, generating simplified models of fragments at different levels of detail, which aims to accelerate the visualization process when a client(that we also call remote user) requests a visualization of a specific area of interest, the final step involves the actual visualization of an area which interest the client, the latter having the possibility to visualize more accurately the area of interest, and less accurately the areas out of context. In this step, the reconstruction of the object taking into account the connectivity of fragments before simplifying a fragment is necessary.
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Submitted on : Friday, December 12, 2014 - 4:59:34 PM
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  • HAL Id : hal-01094672, version 1
  • DOI : 10.1109/ACCT.2012.11
  • ENSAM : http://hdl.handle.net/10985/9096

Citation

Justin-Hervé Noubissi, Christophe Guillet, Jean-Luc Martinez, Frédéric Merienne. A predictive approach for a real-time remote visualization of large meshes. IEEE International Conference on Advanced Computing & Communication Technologies, Jan 2012, Rohtak, India. pp.282-288, ⟨10.1109/ACCT.2012.11⟩. ⟨hal-01094672⟩

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