Video: https://youtu.be/z3f3aPSuhqg

Project page: https://saic-violet.github.io/learnable-triangulation

arXiv paper: https://arxiv.org/abs/1905.05754

Hi!

In this work we managed to smash previous state-of-the-art result in 3D human pose estimation using a novel multi-view volumetric aggregation method. We hope this work will revolutionize the motion capture industry!

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The main practical result of the work: if you have several cameras pointing to a human, then with the help of our method you will be able to determine his high-quality and smooth in time 3D skeleton.

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There’re many possible applications:

• Motion capture – animate characters in movies/games
• Surveillance – to understand what a person took from the shelf in a store without sellers (e.g. Amazon Go)
• Human-Computer interface – to play games like “Just Dance”
• Sport tracking – to understand how players move around the field
• Self Driving Cars – to understand how and where the pedestrians cross the road
• …

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Will be glad to answer any questions!