Research on IBR-Driven Distributed Collaborative Visualization System

Image-based Rendering(IBR) techniques recently reached in broad fields which leads to a critical challenge to build up IBR-Driven visualization platform where meets requirement of high performance, large bounds of distributed visualization resource aggregation and concentration, multiple operators deploying and CSCW design employing. This paper presents an unique IBR-based visualization dataflow model refer to specific characters of IBR techniques and then discusses prominent feature of IBR-Driven distributed collaborative visualization (DCV) system before finally proposing an novel prototype. The prototype provides a well-defined three level modules especially work as Central Visualization Server, Local Proxy Server and Visualization Aid Environment, by which data and control for collaboration move through them followed the previous dataflow model. With aid of this triple hierarchy architecture of that, IBR oriented application construction turns to be easy. The employed augmented collaboration strategy not only achieve convenient multiple users synchronous control and stable processing management, but also is extendable and scalable.

Authors:

• Yin Runmin
• Song Changfeng

Keywords:

• Image-Based Rendering
• Distributed CollaborativeVisualization
• Computer Supported Cooperative Work
• Model andSimulation
• Modular Visualization Environment.

References:

[1] E. Adelson and J. Bergen, "The plenoptic function and the elements of
early vision", In M. Landy and J. A. Movshon, editors, Computation
Models of Visual Processing, MIT press, 1991, pp. 3-20.
[2] Chen, Shenchang Eric, "QuickTime VR - An Image-Based Approach to
Virtual Environment Navigation", Proceedings of SIGGRAPH 1995,
1995, pp.29-38.
[3] Peleg, Shmuel and Joshua Herman., "Panoramic Mosaics by Manifold
Projection", Proceedings of the Conference on Computer Vision and
Pattern Recognition 1997. pp. 338-343.
[4] Shum, Heung-Yeung and Li-Wei He, "Rendering with Concentric
Mosaics", Proceedings of SIGGRAPH 1999, pp. 299-306.
[5] Aliaga, Daniel and I. Carlbom, "Plenoptic Stitching: A Scalable Method
for Reconstructing 3D Interactive Walkthroughs", Proceedings of
SIGGRAPH 2001, pp. 443-450.
[6] Rogers, A.S, "An introduction to groupware and CSCW", BT
Technology Journal, 1994, pp. 7-11.
[7] Greg Johnson, "Collaborative Visualization", ACM SIGGRAPH -
Computer Graphics, 1998, pp. 8-11.
[8] Sheng Feng Li, Quentin Stafford-Fraser, Andy Hopper, "Integrating
Synchronous and Asynchronous Collaboration with Virtual Networking
Computing", Proceedings of the First International Workshop on
Intelligent Multimedia Computing and Networking, Atlantic City, USA,
2000, pp. 717-721.
[9] Wood JD, Wright H, Brodlie KW. In Earnshaw R , Vince J and Jones H
(eds), "CSCV - Computer Supported Collaborative Visualization",
Visualization and Modelling Academic Press, 1995, pp.13-25.
[10] J.Clucas, "Interactive Visualization of Computational Fluid Dynamics
Using Mosaic", Proceedings Second International WWW Conference
'94, Chicago, 1994,
http://www.nas.nasa.gov/Software/FAST/FASTtreks/paper.html.
[11] Johnson, Greg and Steve Mock, "The San Diego Supercomputer Center
presents: collaborative AVS",
http://www.sdsc.edu/PET/scivis/page01.html.
[12] R. B. Haber; D. A. Mcnabb." Visualization Idioms: A Conceptual Model
for Scientific Visualization Systems", Visualization in Scientific
Computing IEEE, 1990, pp. 74-93.