Unsupervised Learning of Monocular Depth and Large-Ego-Motion With Multiple Loop Consistency Losses

Unsupervised Learning of Monocular Depth and Large-Ego-Motion With Multiple Loop Consistency Losses

We propose UnLearnerVO, a jointly unsupervised learning framework for monocular depth, camera motion estimation from videos. UnLearnerVO is coupled with the relationships of 3D scene geometry and can estimate the 6-DoF pose of a monocular camera in an end-to-end pattern. There are two significant fe...

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Bibliographic Details
Main Authors: Junning Zhang, Qunxing Su, Pengyuan Liu, Chao Xu, Yanlong Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Deep learning
depth estimation
visual odometry (VO)
pose loop consistency loss
photometric loop consistency loss
Online Access:https://ieeexplore.ieee.org/document/8727445/

Internet

https://ieeexplore.ieee.org/document/8727445/

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