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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Veröffentlicht in:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Jg. 2018; S. 2002 - 2011
Hauptverfasser:	Fu, Huan, Gong, Mingming, Wang, Chaohui, Batmanghelich, Kayhan, Tao, Dacheng
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.06.2018
Schlagworte:	Estimation Feature extraction Kernel Spatial resolution Three-dimensional displays Training Two dimensional displays
ISSN:	1063-6919, 1063-6919
Online-Zugang:	Volltext
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