Multi-Scale Spatio-Temporal Feature Extraction and Depth Estimation from Sequences by Ordinal Classification

Depth estimation is a key problem in 3D computer vision and has a wide variety of applications. In this paper we explore whether deep learning network can predict depth map accurately by learning multi-scale spatio-temporal features from sequences and recasting the depth estimation from a regression...

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Bibliographic Details

Published in:	Sensors
Main Author:	Yang Liu
Format:	Article
Language:	English
Published:	MDPI AG 2020-04-01
Subjects:	depth prediction deep learning spatio-temporal feature extraction ConvLSTM ordinal classification
Online Access:	https://www.mdpi.com/1424-8220/20/7/1979