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Determining the Effect of Object-Based Foveated Rendering on the Quality of Simulated Reality

  • Varun AggarwalEmail author
  • Denise NicholsonEmail author
  • Kathleen BartlettEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 780)

Abstract

Rendering virtual environments for simulated reality applications often proves to be a challenge due to the high demands of simulations capable of imparting enough detail to appease the human eye. Traditional simulated environments typically require hardware capable of providing enormous graphical processing power in order to render entire scenes in high detail, limiting simulations to high end computers. However, most of this detail is wasted, as human eyes are only capable of perceiving detailed information in a small central field of view. In the peripheral regions of human vision, the majority of the final image that is seen by the human is filled in by the brain, based on context and the minimal detail provided by the eyes. This three-phase research effort attempts to identify whether reducing the level of detail of objects in the peripherals of a virtual reality simulation affects the perceived quality of the simulation.

Keywords

Virtual environments Latency Three dimensional models 

References

  1. 1.
    Aggarwal, V., Nicholson, D.: Optimization of computer generated three dimensional models for decreased latency in virtual environments. In: Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Orlando, FL (2017)Google Scholar
  2. 2.
    History of Virtual Reality: Virtual Reality Society, 10 January 2015. https://www.vrs.org.uk/virtual-reality/history.html. Accessed 15 Feb 2017
  3. 3.
    Hayden, S.: Oculus reveals more than 175,000 rift development kits sold. Road to VR, 12 June 2015. https://www.roadtovr.com/oculus-reveals-175000-rift-development-kits-sold/
  4. 4.
    Durbin, J.: VR Sales Analysis: Rift and Vive to Sell Under 500,000 in 2016, PS VR to Top 2 Million. UploadVR, 14 November 2016. https://uploadvr.com/superdata-headset-sales-analysis/. Accessed 15 Feb 2017
  5. 5.
    Nicholson, D., Schmorrow, D., Cohn, J.: Virtual environments for training and education: VE components and training technologies. Praeger Security International, Westport, CT (2009)Google Scholar
  6. 6.
    Cohn, J., Nicholson, D., Schmorrow, D.: Virtual environments for training and education: integrated systems, training evaluations, and future directions. Praeger Security International, Westport, CT (2009)Google Scholar
  7. 7.
    Sik, L.L., Pattanaik, S.: Rendering large scale synthetic urban terrain. In: Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Orlando, FL (2011)Google Scholar
  8. 8.
    Perceptually-Based Foveated Virtual Reality. Nvidia Corporation. Accessed 6 Feb 2017Google Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Soar Technology, Inc.OrlandoUSA

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