Occlusion-Aware Unsupervised Learning of Monocular Depth, Optical Flow and Camera Pose with Geometric Constraints

Occlusion-Aware Unsupervised Learning of Monocular Depth, Optical Flow and Camera Pose with Geometric Constraints

We present an occlusion-aware unsupervised neural network for jointly learning three low-level vision tasks from monocular videos: depth, optical flow, and camera motion. The system consists of three different predicting sub-networks simultaneously coupled by combined loss terms and is capable of co...

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Bibliographic Details
Main Authors: Qianru Teng, Yimin Chen, Chen Huang
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Future Internet
Subjects:
monocular depth
camera pose
optical flow
joint learning
occlusion-aware
scene geometry
Online Access:http://www.mdpi.com/1999-5903/10/10/92

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http://www.mdpi.com/1999-5903/10/10/92

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