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Virtual Reality Conference, IEEE (2007)
Charlotte, NC, USA
Mar. 10, 2007 to Mar. 14, 2007
ISBN: 1-4244-0905-5
pp: 131-137
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
ABSTRACT
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.
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CITATION

J. I. Girado, T. Peterka, T. A. DeFanti, D. J. Sandin, J. Ge and R. L. Kooima, "A GPU Sub-pixel Algorithm for Autostereoscopic Virtual Reality," 2007 IEEE Virtual Reality Conference(VR), Charlotte, NC, 2007, pp. 131-137.
doi:10.1109/VR.2007.352473
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