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The FIFA World Cup is about to kick off on Thursday, but researchers have developed an AI that can project a 3D soccer game right on your kitchen table.
Researchers from the University of Washington, Facebook and Google have created the first end-to-end, deep learning system that transforms a YouTube video of a soccer game into a moving 3D hologram.
Images - Players - FIFA - Video - Games
They extracted 12,000 2D images of players from FIFA video games, and then trained a convolutional neural network on 3D player data taken from the soccer video games.
Recreating something as dynamic as a soccer match isn't easy, the authors explain.
Challenges - Reconstruction - Soccer - Game - Researchers
'There are numerous challenges in monocular reconstruction of a soccer game,' the researchers wrote in a new study describing the work.
'We must estimate the camera pose relative to the field, detect and track each of the players, re-construct their body shapes and poses, and render the combined reconstruction.'
System - Depth - Maps - Color - Footage
The system was able to accurately predict depth maps and combine them with color footage to reconstruct each player in 3D.
'It turns out that while playing Electronic Arts FIFA games and intercepting the calls between the game engine and the GPU [Graphics Processing Unit], it is possible to extract depth maps from video game...
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