OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas (Englisch)
- Neue Suche nach: Zioulis, Nikolaos
- Weitere Informationen zu Zioulis, Nikolaos:
- https://orcid.org/http://orcid.org/0000-0002-7898-9344
- Neue Suche nach: Karakottas, Antonis
- Weitere Informationen zu Karakottas, Antonis:
- https://orcid.org/http://orcid.org/0000-0003-0328-8671
- Neue Suche nach: Zarpalas, Dimitrios
- Neue Suche nach: Daras, Petros
- Neue Suche nach: Ferrari, Vittorio
- Neue Suche nach: Hebert, Martial
- Neue Suche nach: Sminchisescu, Cristian
- Neue Suche nach: Weiss, Yair
- Neue Suche nach: Zioulis, Nikolaos
- Weitere Informationen zu Zioulis, Nikolaos:
- https://orcid.org/http://orcid.org/0000-0002-7898-9344
- Neue Suche nach: Karakottas, Antonis
- Weitere Informationen zu Karakottas, Antonis:
- https://orcid.org/http://orcid.org/0000-0003-0328-8671
- Neue Suche nach: Zarpalas, Dimitrios
- Neue Suche nach: Daras, Petros
In:
Computer Vision – ECCV 2018
: 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part VI
;
Kapitel: 28
;
453-471
;
2018
- Aufsatz/Kapitel (Buch) / Elektronische Ressource
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Titel:OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas
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Weitere Titelangaben:Lect.Notes Computer
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Beteiligte:Ferrari, Vittorio ( Herausgeber:in ) / Hebert, Martial ( Herausgeber:in ) / Sminchisescu, Cristian ( Herausgeber:in ) / Weiss, Yair ( Herausgeber:in ) / Zioulis, Nikolaos ( Autor:in ) / Karakottas, Antonis ( Autor:in ) / Zarpalas, Dimitrios ( Autor:in ) / Daras, Petros ( Autor:in )
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Kongress:European Conference on Computer Vision ; 2018 ; Munich, Germany
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Erschienen in:Computer Vision – ECCV 2018 : 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part VI ; Kapitel: 28 ; 453-471Lecture Notes in Computer Science ; 11210 ; 453-471
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Verlag:
- Neue Suche nach: Springer International Publishing
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Erscheinungsort:Cham
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Erscheinungsdatum:06.10.2018
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Format / Umfang:19 pages
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ISBN:
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ISSN:
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DOI:
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Medientyp:Aufsatz/Kapitel (Buch)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:Omnidirectional media , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${360}^{\circ }$$\end{document} , Spherical panorama , Scene understanding , Depth estimation , Synthetic dataset , Learning with virtual data
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Datenquelle:
Inhaltsverzeichnis E-Book
Die Inhaltsverzeichnisse werden automatisch erzeugt und basieren auf den im Index des TIB-Portals verfügbaren Einzelnachweisen der enthaltenen Beiträge. Die Anzeige der Inhaltsverzeichnisse kann daher unvollständig oder lückenhaft sein.
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