miun.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Modeling Depth Uncertainty of Desynchronized Multi-Camera Systems
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Realistic 3D)ORCID iD: 0000-0002-4967-3033
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Realistic 3D)ORCID iD: 0000-0003-3751-6089
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology. (Realistic 3D)
2017 (English)In: 2017 International Conference on 3D Immersion (IC3D), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Accurately recording motion from multiple perspectives is relevant for recording and processing immersive multi-media and virtual reality content. However, synchronization errors between multiple cameras limit the precision of scene depth reconstruction and rendering. In order to quantify this limit, a relation between camera de-synchronization, camera parameters, and scene element motion has to be identified. In this paper, a parametric ray model describing depth uncertainty is derived and adapted for the pinhole camera model. A two-camera scenario is simulated to investigate the model behavior and how camera synchronization delay, scene element speed, and camera positions affect the system's depth uncertainty. Results reveal a linear relation between synchronization error, element speed, and depth uncertainty. View convergence is shown to affect mean depth uncertainty up to a factor of 10. Results also show that depth uncertainty must be assessed on the full set of camera rays instead of a central subset.

Place, publisher, year, edition, pages
IEEE, 2017.
Keyword [en]
Camera synchronization, Synchronization error, Depth estimation error, Multi-camera system
National Category
Signal Processing Media Engineering
Identifiers
URN: urn:nbn:se:miun:diva-31841DOI: 10.1109/IC3D.2017.8251891ISI: 000427148600001ISBN: 978-1-5386-4655-7 (electronic)OAI: oai:DiVA.org:miun-31841DiVA, id: diva2:1149222
Conference
2017 International Conference on 3D Immersion (IC3D 2017), Brussels, Belgium, 11th-12th December 2017
Projects
LIFE project
Funder
Knowledge Foundation, 20140200
Available from: 2017-10-13 Created: 2017-10-13 Last updated: 2018-04-03

Open Access in DiVA

fulltext(686 kB)41 downloads
File information
File name FULLTEXT01.pdfFile size 686 kBChecksum SHA-512
f252afc8627d023471530cbc6794919c8fe7f52a5524ddeb48dea468a32cdd8c6516814f5bee35325aa73507aab9173ff5745261bd4d43a2a689755f7e698016
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Dima, ElijsSjöström, MårtenOlsson, Roger

Search in DiVA

By author/editor
Dima, ElijsSjöström, MårtenOlsson, Roger
By organisation
Department of Information Systems and Technology
Signal ProcessingMedia Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 41 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 154 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf