<div class="csl-bib-body">
<div class="csl-entry">Mortezapoor, S., Schönauer, C., Rüggeberg, J., & Kaufmann, H. (2022). Photogrammabot: An Autonomous ROS-Based Mobile Photography Robot for Precise 3D Reconstruction and Mapping of Large Indoor Spaces for Mixed Reality. In <i>Proceedings of 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)</i> (pp. 101–107). IEEE. https://doi.org/10.1109/VRW55335.2022.00033</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/78073
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dc.description.abstract
Precise 3D reconstruction of environments and real objects for Mixed-Reality applications can be burdensome. Photogrammetry can help to create accurate representations of actual objects in the virtual world using a high number of photos of a subject or an environment. Photogrammabot is an affordable mobile robot that facilitates photogrammetry and 3D reconstruction by autonomously and systematically capturing images. It explores an unknown indoor environment and uses map-based localization and navigation to maintain camera direction at different shooting points. Photogrammabot employs a Raspberry Pi 4B and Robot Operating System (ROS) to control the exploration and capturing processes. The photos are taken using a point-and-shoot camera mounted on a 2-DOF micro turret to enable photography from different angles and compensate for possible robot orientation errors to ensure parallel photos. Photogrammabot has been designed as a general solution to facilitate precise 3D reconstruction of unknown environments. In addition we developed tools to integrate it with and extend the Immersive Deck™ MR system [23], where it aids the setup of the system in new locations.
en
dc.description.sponsorship
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.subject
3D reconstruction
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dc.subject
Artificial intelligence
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dc.subject
automation
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dc.subject
autonomous mobile robot
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dc.subject
Computer systems organization
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dc.subject
Computer vision
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dc.subject
Computing methodologies
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dc.subject
Embedded and cyberphysical systems
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dc.subject
fiducial marker tracking
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dc.subject
Human computer interaction (HCI)
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dc.subject
Human computer interaction (HCI)
en
dc.subject
Human-centered computing
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dc.subject
Human-centered computing
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dc.subject
Interaction paradigms
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dc.subject
mixed-reality
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dc.subject
Mixed/augmented reality
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dc.subject
Photogrammetry
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dc.subject
Reconstruction
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dc.subject
Robotic autonomy
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dc.subject
Robotics
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dc.subject
ROS
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dc.subject
Virtual reality
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dc.title
Photogrammabot: An Autonomous ROS-Based Mobile Photography Robot for Precise 3D Reconstruction and Mapping of Large Indoor Spaces for Mixed Reality
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
Illusion Walk KG
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dc.relation.isbn
978-1-6654-8403-9
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dc.description.startpage
101
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dc.description.endpage
107
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dc.relation.grantno
F77
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dc.rights.holder
IEEE
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of 2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
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tuw.peerreviewed
true
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tuw.relation.publisher
IEEE
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tuw.relation.publisherplace
Christchurch, New Zealand
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tuw.project.title
Advanced Computational Design
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tuw.researchTopic.id
I5
-
tuw.researchTopic.id
C6
-
tuw.researchTopic.id
I3
-
tuw.researchTopic.name
Visual Computing and Human-Centered Technology
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tuw.researchTopic.name
Modeling and Simulation
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tuw.researchTopic.name
Automation and Robotics
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tuw.researchTopic.value
20
-
tuw.researchTopic.value
40
-
tuw.researchTopic.value
40
-
tuw.linking
https://youtu.be/eWb9CMNKo1M
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tuw.publication.orgunit
E193-02 - Forschungsbereich Computer Graphics
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tuw.publisher.doi
10.1109/VRW55335.2022.00033
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dc.description.numberOfPages
7
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tuw.author.orcid
0000-0003-4941-3220
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tuw.author.orcid
0000-0001-7834-3642
-
tuw.author.orcid
0000-0002-0322-9869
-
tuw.event.name
2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
en
dc.description.sponsorshipexternal
European Union’s Horizon 2020 research and innovation programme within the BRIDGES project
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dc.relation.grantnoexternal
952043
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tuw.event.startdate
12-03-2022
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tuw.event.enddate
16-03-2022
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tuw.event.online
Hybrid
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tuw.event.type
Event for scientific audience
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tuw.event.place
Christchurch
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tuw.event.country
NZ
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tuw.event.institution
IEEE
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tuw.event.presenter
Mortezapoor, Soroosh
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tuw.presentation.online
Online
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tuw.event.track
Multi Track
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wb.sciencebranch
Informatik
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wb.sciencebranch
Elektrotechnik, Elektronik, Informationstechnik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
2020
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wb.sciencebranch.value
80
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wb.sciencebranch.value
20
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.grantfulltext
none
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item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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crisitem.author.dept
E193-03 - Forschungsbereich Virtual and Augmented Reality
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crisitem.author.dept
E193-03 - Forschungsbereich Virtual and Augmented Reality
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crisitem.author.dept
Illusion Walk KG
-
crisitem.author.dept
E193-03 - Forschungsbereich Virtual and Augmented Reality
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crisitem.author.orcid
0000-0003-4941-3220
-
crisitem.author.orcid
0000-0001-7834-3642
-
crisitem.author.orcid
0000-0002-0322-9869
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology