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ActiveStereoNet: End-to-End Self-supervised Learning for Active Stereo Systems.

Yinda ZhangSameh KhamisChristoph RhemannJulien P. C. ValentinAdarsh KowdleVladimir TankovichMichael SchoenbergShahram IzadiThomas A. FunkhouserSean Ryan Fanello
Published in: ECCV (8) (2018)
Keyphrases
  • end to end
  • admission control
  • computational complexity
  • real world
  • computer vision
  • viewpoint
  • motion estimation
  • congestion control
  • active stereo