Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset-Reference-Cited by-同舟云学术

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Comparison of monocular depth estimation methods using geometrically relevant metrics on the IBims-1 dataset

Published:2020-02 Issue: Volume:191 Page:102877
ISSN:1077-3142
Container-title:Computer Vision and Image Understanding
language:en
Short-container-title:Computer Vision and Image Understanding

Author:

Koch Tobias,Liebel Lukas,Körner Marco,Fraundorfer Friedrich

Funder

German Research Foundation (DFG), Germany

Federal Ministry of Transport and Digital Infrastructure (BMVI), Germany

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing,Software

Reference107 articles.

1. A survey of photometric stereo techniques;Ackermann;Found. Trends Comput. Graph. Vis.,2015

2. Depth estimation and blur removal from a single out-of-focus image;Anwar,2017

3. Joint 2d-3d-semantic data for indoor scene understanding;Armeni,2017

4. Testimages: a large-scale archive for testing visual devices and basic image processing algorithms;Asuni,2014

5. Coupled depth learning;Baig,2016

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