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Since the 70’s, the Electronic Visualization Laboratory’s (EVL) research has focused upon the development of tools, techniques and hardware in support of real-time, highly interactive visualization.

Current efforts continue in this vein through the development of advanced visualization devices, software libraries / toolkits and applications for collaborative exploration of data over global high-speed networks.

After building first and second-generation VR devices (the CAVE™ in 1991 and the ImmersaDesk™ in 1995) to support distributed applications (coined “tele-immersion”), EVL continues to construct instruments that are highly interactive and support the display and sharing of extremely large and high-resolution visual data over international advanced networks.

EVL’s latest achievement combines the benefits of both scalable-resolution display walls and virtual-reality systems to create a seamless 2D / 3D environment that supports both information-rich analysis as well as virtual reality simulation exploration. The CAVE2™ Hybrid Reality Environment premiered October 2012 at the GLIF: Global Lambda Integrated Facility conference in Chicago.

EVL continues to develop and refine robust and device-independent software libraries, as well as the middleware to support networked/distributed applications. This software infrastructure supports collaboration in design, training, scientific visualization, and computational steering in advanced visualization or virtual reality.

Interconnectivity via high-speed, advanced networks with educational, government, research institutions and industry fosters collaborative application development, as well as the networking underpinnings, which is at the core of EVL’s current research.

EVL’s goal is to move advanced and experimental networking from the laboratory to the Next Generation Internet. Scientists are now learning how to take advantage of global connectivity to empower collaborative solutions to complex problems. Through advanced networking techniques, researchers can access distributed computing, storage and display resources more efficiently than ever. EVL will continue to work toward achieving these goals on a global scale.

A Point-Based Remote Visualization Pipeline For Large-Scale Virtual Reality