Research on IBR-Driven Distributed Collaborative Visualization System
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
Research on IBR-Driven Distributed Collaborative Visualization System

Authors: Yin Runmin, Song Changfeng

Abstract:

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.

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

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1329288

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1490

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.