A GPU Sub-pixel Algorithm for Autostereoscopic Virtual Reality

Robert L. Kooima, Tom Peterka, Javier I. Girado, Jinghua Ge, Daniel J. Sandin, Thomas A. DeFanti
University of Illinois at Chicago
IEEE Virtual Reality Conference, 2007. VR ’07. p.131-137


   title={A gpu sub-pixel algorithm for autostereoscopic virtual reality},

   author={Kooima, R.L. and Peterka, T. and Girado, J.I. and Ge, J. and Sandin, D.J. and DeFanti, T.A.},

   booktitle={Virtual Reality Conference, 2007. VR’07. IEEE},






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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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