Virtual reality hardware for use in interactive 3D data fusion and visualization

Christopher S. Gourley; Mongi A. Abidi

doi:10.1117/12.287647

22 September 1997 Virtual reality hardware for use in interactive 3D data fusion and visualization

Christopher S. Gourley, Mongi A. Abidi

Proceedings Volume 3209, Sensor Fusion and Decentralized Control in Autonomous Robotic Systems; (1997) https://doi.org/10.1117/12.287647
Event: Intelligent Systems and Advanced Manufacturing, 1997, Pittsburgh, PA, United States

Abstract

Virtual reality has become a tool for use in many areas of research. We have designed and built a VR system for use in range data fusion and visualization. One major VR tool is the CAVE. This is the ultimate visualization tool, but comes with a large price tag. Our design uses a unique CAVE whose graphics are powered by a desktop computer instead of a larger rack machine making it much less costly. The system consists of a screen eight feet tall by twenty-seven feet wide giving a variable field-of-view currently set at 160 degrees. A silicon graphics Indigo2 MaxImpact with the impact channel option is used for display. This gives the capability to drive three projectors at a resolution of 640 by 480 for use in displaying the virtual environment and one 640 by 480 display for a user control interface. This machine is also the first desktop package which has built-in hardware texture mapping. This feature allows us to quickly fuse the range and intensity data and other multi-sensory data. The final goal is a complete 3D texture mapped model of the environment. A dataglove, magnetic tracker, and spaceball are to be used for manipulation of the data and navigation through the virtual environment. This system gives several users the ability to interactively create 3D models from multiple range images.

Citation Download Citation

Christopher S. Gourley and Mongi A. Abidi "Virtual reality hardware for use in interactive 3D data fusion and visualization", Proc. SPIE 3209, Sensor Fusion and Decentralized Control in Autonomous Robotic Systems, (22 September 1997); https://doi.org/10.1117/12.287647

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