Hochschulschrift

Uncertainty estimation for dense stereo matching using Bayesian deep learning

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Dimensions: 30 cm

Extent: viii, 117 Seiten

Language: Englisch

Notes: Illustrationen, Diagramme
Gleichzeitig veröffentlicht in: Deutsche Geodätische Kommission bei der Bayerischen Akademie der Wissenschaften, Reihe C, Nr. 878, München 2021, ISBN 978-3-7696-5290-1
Gottfried Wilhelm Leibniz Universität Hannover, Dissertation, 2021

Bibliographic citation: Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz-Universität Hannover ; Nr. 378

Classification: Astronomie, Kartographie

Event: Veröffentlichung

(where): Hannover

(who): [Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover]

(when): 2021

Creator: Mehltretter, Max

Contributor: Heipke, Christian
Schindler, Konrad
Gottfried Wilhelm Leibniz Universität Hannover

Table of contents: https://d-nb.info/1264856385/04

Rights: Bei diesem Objekt liegt nur das Inhaltsverzeichnis digital vor. Der Zugriff darauf ist unbeschränkt möglich.

Last update: 11.06.2025, 2:29 PM CEST

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Hochschulschrift

Associated

Mehltretter, Max
Heipke, Christian
Schindler, Konrad
Gottfried Wilhelm Leibniz Universität Hannover
[Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover]

Time of origin

2021

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Uncertainty estimation for dense stereo matching using Bayesian deep learning

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Other Objects (12)

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A NEW STEREO DENSE MATCHING BENCHMARK DATASET FOR DEEP LEARNING

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Dense Stereo Matching with Robust Cost Funtions and Confidence-based Surface Prior

A LOCAL ADAPTIVE APPROACH FOR DENSE STEREO MATCHING IN ARCHITECTURAL SCENE RECONSTRUCTION

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A CRITICAL ANALYSIS OF INTERNAL RELIABILITY FOR UNCERTAINTY QUANTIFICATION OF DENSE IMAGE MATCHING IN MULTI-VIEW STEREO

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