Collaboration and Visualization over High Speed Networks
 

developers: Jason Leigh, Yongjoo Cho, Javier Girado, Andrew Johnson, Naveen Krishnaprasad, Michael Lewis, Dave Pape, Kyoung Shin Park, Chris Scharver, T. Imai, R. Fang, Y. Lin, T. Portlock, B. Silva, L. Wang, J. Eliason, J. Ge, E. He, A. Nayak, S. Venkatamaran

url: http://www.evl.uic.edu/cavern/

funding: NSF, DoE, Industrial Partnerships

This research focuses on the development of Tele-immersive (collaborative virtual reality) applications, the middleware (software infrastructure) that drives these applications, and the advanced networks over which the applications are shared.

Application development addresses a broad range of research problems, from human factors to interface design/development for shared, synchronous and asynchronous, virtual environments.

CAVERNsoft provides the software architecture for the next generation collaborative networking infrastructure to sustain, persistent design, training, scientific visualization, and computational steering applications. Continual refinement and enhancement for improved collaboration are underway.

The underlying research component focuses upon the high-speed, high-bandwidth networks - performance, analysis, optimization are among the aspects being investigated and improved for the transmission of real-time, multi-directional tele-immersive virtual reality.

start date: 03/01/2001
end date: 02/28/2003

contact:

image provided by J. Leigh, EVL
 
 
related projects:
CAVERN - The CAVE™ Research Network
The Virtual Mail System
QoSIMoto
CIBRView: Collaborative Image Based Rendering
TIDE: Tele-Immersive Data Explorer
CAVE6D
Tandem
LARA: Laboratory for Analysing and Reconstructing Artifacts
related info:
45 associated paper(s)
57 associated event(s)<
 
related categories:
devices
applications
software
tele-immersion
networking
visualization
data mining
supercomputing
human factors<