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...

Celý popis

Podrobná bibliografia

Vydané v:	2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Ročník 2018; s. 2002 - 2011
Hlavní autori:	Fu, Huan, Gong, Mingming, Wang, Chaohui, Batmanghelich, Kayhan, Tao, Dacheng
Médium:	Konferenčný príspevok.. Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.06.2018
Predmet:	Estimation Feature extraction Kernel Spatial resolution Three-dimensional displays Training Two dimensional displays
ISSN:	1063-6919, 1063-6919
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!