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Guided sparse camera pose estimation

Schenk, Fabian and Mohr, Ludwig and Rüther, Matthias and Fraundorfer, Friedrich and Bischof, Horst (2016) Guided sparse camera pose estimation. In: Proceedings of The 40th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2016, pp. 139-146. OAGM Workshop 2016, 11.-13. Mai 2016, Wels, Austria.

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In this paper, we present an idea for a sparse approach to calculate camera poses from RGB images and laser distance measurements to perform subsequent facade reconstruction. The core idea is to guide the image recording process by choosing distinctive features with the laser range finder, e.g. building or window corners. From these distinctive features, we can establish correspondences between views to compute metrically accurate camera poses from just a few precise measurements. In our experiments, we achieve reasonable results in building facade reconstruction with only a fraction of features compared to standard structure from motion.

Item URL in elib:https://elib.dlr.de/104770/
Document Type:Conference or Workshop Item (Speech)
Title:Guided sparse camera pose estimation
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schenk, Fabianschenk (at) icg.tu-graz.ac.atUNSPECIFIED
Mohr, Ludwigmohr (at) icg.tu-graz.ac.atUNSPECIFIED
Rüther, Matthiasruether (at) icg.tu-graz.ac.atUNSPECIFIED
Fraundorfer, Friedrichfriedrich.fraundorfer (at) dlr.deUNSPECIFIED
Bischof, Horstbischof (at) icg.tu-graz.ac.atUNSPECIFIED
Date:May 2016
Journal or Publication Title:Proceedings of The 40th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2016
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 139-146
Keywords:Guided sparse camera
Event Title:OAGM Workshop 2016
Event Location:Wels, Austria
Event Type:international Conference
Event Dates:11.-13. Mai 2016
Organizer:Austrian Association for Pattern Recognition
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Traffic Management (old)
DLR - Research area:Transport
DLR - Program:V VM - Verkehrsmanagement
DLR - Research theme (Project):V - Vabene++ (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > Photogrammetry and Image Analysis
Deposited On:04 Jul 2016 12:32
Last Modified:31 Jul 2019 20:02

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