Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue

Bian Jia-Wang
Bian Jia-Wang
Zhan Huangying
Zhan Huangying
Reid Ian
Reid Ian
Cited by: 8|Views135

Abstract:

Single-view depth estimation using CNNs trained from unlabelled videos has shown significant promise. However, the excellent results have mostly been obtained in street-scene driving scenarios, and such methods often fail in other settings, particularly indoor videos taken by handheld devices, in which case the ego-motion is often degen...More

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