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Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance

Rumpler, Markus and Tscharf, Alexander and Mostegel, Christian and Daftry, Shreyansh and Hoppe, Christof and Prettenthaler, Rudolf and Fraundorfer, Friedrich and Mayer, Gerhard and Bischof, Horst (2017) Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance. Computer Vision and Image Understanding, 157 (4), pp. 255-273. Elsevier. DOI: 10.1016/j.cviu.2016.04.008 ISSN 1077-3142

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Official URL: http://www.sciencedirect.com/science/article/pii/S1077314216300327

Abstract

During the last decades photogrammetric computer vision systems have been well established in scien- tific and commercial applications. Recent developments in image-based 3D reconstruction systems have resulted in an easy way of creating realistic, visually appealing and accurate 3D models. We present a fully automated processing pipeline for metric and geo-accurate 3D reconstructions of complex geome- tries supported by an online feedback method for user guidance during image acquisition. Our approach is suited for seamlessly matching and integrating images with different scales, from different view points (aerial and terrestrial), and with different cameras into one single reconstruction. We evaluate our ap- proach based on different datasets for applications in mining, archaeology and urban environments and thus demonstrate the flexibility and high accuracy of our approach. Our evaluation includes accuracy related analyses investigating camera self-calibration, georegistration and camera network configuration.

Item URL in elib:https://elib.dlr.de/104768/
Document Type:Article
Title:Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Rumpler, Markusrumpler (at) icg.tugraz.atUNSPECIFIED
Tscharf, Alexanderalexander.tscharf (at) unileoben.ac.atUNSPECIFIED
Mostegel, Christianmostegel (at) icg.tugraz.atUNSPECIFIED
Daftry, Shreyanshdaftry (at) cmu.eduUNSPECIFIED
Hoppe, Christofhoppe (at) icg.tugraz.atUNSPECIFIED
Prettenthaler, Rudolfrudolf.prettenthaler (at) tugraz.atUNSPECIFIED
Fraundorfer, Friedrichfriedrich.fraundorfer (at) dlr.deUNSPECIFIED
Mayer, Gerhardgerhard.mayer (at) unileoben.ac.atUNSPECIFIED
Bischof, Horstbischof (at) icg.tugraz.atUNSPECIFIED
Date:April 2017
Journal or Publication Title:Computer Vision and Image Understanding
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:157
DOI :10.1016/j.cviu.2016.04.008
Page Range:pp. 255-273
Editors:
EditorsEmail
Paragios, NikosCentraleSupelec, ChââtenayMalabry, FR
Publisher:Elsevier
ISSN:1077-3142
Status:Published
Keywords:Photogrammetric computer vision, Unmanned aerial vehicles, Image-based 3D reconstruction, Mapping, Camera calibration, Image acquisition, Online Feedback, Structure-from-motion, Georeferencing, Fiducial markers, Accuracy evaluation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Fahrzeugintelligenz (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited By:INVALID USER
Deposited On:04 Jul 2016 12:21
Last Modified:06 Sep 2019 15:19

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