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Implementing Stereo Vision of GPU-Accelerated Scientific Simulations using Commodity Hardware

T.S. Lyes, K.A. Hawick
Computer Science, Institute for Information and Mathematical Sciences, Massey University, North Shore 102-904, Auckland, New Zealand
Computational Science Technical Note CSTN-131, 2011

@article{lyes2011implementing,

   title={Implementing Stereo Vision of GPU-Accelerated Scientific Simulations using Commodity Hardware},

   author={Lyes, TS and Hawick, KA},

   year={2011}

}

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Stereo vision technology is becoming more and more commonplace in the movie and gaming industries. It has applications in many other fields as well, one of these is viewing scientific data. We develop a stereo vision system using commodity priced hardware and portable graphics software. Hardware and software details are described, as well as some resulting visualisations and performance issues. C++ and OpenGL are employed to create the stereo visualisation, using Nvidia 3D glasses and a professional GPU graphics card and driver. Key code fragments are presented, and we discuss some of the dificulties in setting up the stereo vision for scientific use. We also present some ideas for future development of scientific visualisation of voxel data in stereo.
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