Robert L. Kooima, Electronic Visualization Laboratory, University of Illinois, Chicago
Tom Peterka, Electronic Visualization Laboratory, University of Illinois, Chicago
Javier I. Girado, Electronic Visualization Laboratory, University of Illinois, Chicago
Jinghua Ge, Electronic Visualization Laboratory, University of Illinois, Chicago
Daniel J. Sandin, California Institute for Telecommunications and Information Technology, University of California, San Diego
Thomas A. DeFanti, California Institute for Telecommunications and Information Technology, University of California, San Diego
Autostereoscopic displays enable unencumbered immersive virtual reality, but at a significant computational expense. This expense impacts the feasibility of autostereo displays in high-performance real-time interactive applications. A new autostereo rendering algorithm named Autostereo Combiner addresses this problem using the programmable vertex and fragment pipelines of modern graphics processing units (GPUs). This algorithm is applied to the Varrier, a large-scale, head-tracked, parallax barrier autostereo virtual reality platform. In this capacity, the Combiner algorithm has shown performance gains of 4x over traditional parallax barrier rendering algorithms. It has enabled high-performance rendering at sub-pixel scales, affording a 2x increase in resolution and showing a 1.4x improvement in visual acuity.
Citation:
Robert L. Kooima, Tom Peterka, Javier I. Girado, Jinghua Ge, Daniel J. Sandin, Thomas A. DeFanti, "A GPU Sub-pixel Algorithm for Autostereoscopic Virtual Reality," vr, pp.131-137, 2007 IEEE Virtual Reality Conference, 2007
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