Deep Ordinal Regression Network for Monocular Depth Estimation

Monocular depth estimation, which plays a crucial role in understanding 3D scene geometry, is an ill-posed problem. Recent methods have gained significant improvement by exploring image-level information and hierarchical features from deep convolutional neural networks (DCNNs). These methods model d...

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Bibliographic Details

Published in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Vol. 2018; pp. 2002 - 2011
Main Authors:	Fu, Huan, Gong, Mingming, Wang, Chaohui, Batmanghelich, Kayhan, Tao, Dacheng
Format:	Conference Proceeding Journal Article
Language:	English
Published:	United States IEEE 01.06.2018
Subjects:	Estimation Feature extraction Kernel Spatial resolution Three-dimensional displays Training Two dimensional displays
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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