An efficient system for collaboration in tele-immersive environments

The paper describes the development of a high-performance system for visualizing complex scientific models in real-time. The architecure of the system is a client/server model, in which the simulator generates lists of 3D graphics objects in parallel to the simulation, from where they are sent to a streaming server. The server transfers the 3D objects to viewer clients. Clients communicate over a second connection with each other, which adds the ability to perform collaborative tasks. An application related to computational fluid dynamics is specified where such a tele-immersive system can be used. The approach differs to other solutions because it offers a large set of graphics primitives for visualization, and it is optimized for distributed, heterogenous environments.

[1]  M. Bauer,et al.  Interactive volume on standard PC graphics hardware using multi-textures and multi-stage rasterization , 2000, Workshop on Graphics Hardware.

[2]  Siegfried Raasch,et al.  PALM - A large-eddy simulation model performing on massively parallel computers , 2001 .

[3]  Andrew E. Johnson,et al.  Visualization in Teleimmersive Environments , 1999, Computer.

[4]  Michael E. Papka,et al.  Large-Scale Data Visualization Using Parallel Data Streaming , 2001, IEEE Computer Graphics and Applications.

[5]  Helmut Pralle,et al.  A tele-immersive, virtual laboratory approach based on real-time streaming of 3D scene sequences , 2001, MULTIMEDIA '01.

[6]  Jason Lee,et al.  Using High-Speed WANs and Network Data Caches to Enable Remote and Distributed Visualization , 2000, ACM/IEEE SC 2000 Conference (SC'00).

[7]  Karsten Schwan,et al.  From interactive applications to distributed laboratories , 1998, IEEE Concurr..

[8]  Thomas Ertl,et al.  Remote 3D Visualization using Image-Streaming Techniques , 2000 .

[9]  Colin Perkins,et al.  Notes on the use of RTP for shared workspace applications , 2000, CCRV.

[10]  G. Amdhal,et al.  Validity of the single processor approach to achieving large scale computing capabilities , 1967, AFIPS '67 (Spring).

[11]  Ken Brodlie,et al.  Collaborative visualization , 1997, Proceedings. Visualization '97 (Cat. No. 97CB36155).

[12]  William J. Schroeder,et al.  A multi-threaded streaming pipeline architecture for large structured data sets , 1999, Proceedings Visualization '99 (Cat. No.99CB37067).

[13]  Kyoung Shin Park,et al.  CAVERNsoft G2: a toolkit for high performance tele-immersive collaboration , 2000, VRST '00.