Simulation / Modeling / Design

Share Your Science: Creating Volumetric Video of Real People in Virtual Reality

AI-Generated Summary

  • 8i uses NVIDIA GPUs and CUDA to transform multi-camera HD video into volumetric recordings of real people for virtual reality, augmented reality, and web experiences.
  • The technology enables viewers to walk around fully volumetric human recordings in immersive environments.
  • The team is exploring deep learning and cuDNN to improve real-time reconstruction quality, including coloring and depth estimation for more realistic humans.

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Experience real people on any virtual reality headset.
Joel Pitt, a machine learning researcher at 8i, shares how the startup is using NVIDIA GPUs and CUDA to put real volumetric video of humans in virtual reality environments.
8i’s technology allows creators to bring real people into volumetric virtual experiences by transforming HD video from multiple cameras into a fully volumetric recording of a human that viewers can walk around in virtual reality, augmented reality, and web.
Pitt mentions they are currently looking to leverage deep learning and cuDNN to improve the real-time reconstruction quality, such as the coloring and depth estimation to help make the most realistic humans as possible.

To learn more about volumetric video, watch an interview with 8i CEO Linc Gasking about their documentary #100Humans that was unveiled at the Sundance Film Festival early this year.
Share your GPU-accelerated science with us at http://nvda.ly/Vpjxr and with the world on #ShareYourScience.
Watch more scientists and researchers share how accelerated computing is benefiting their work at http://nvda.ly/X7WpH
 

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