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Using optical flow as lightweight SLAM alternative
German Research Center for Artificial Intelligence, Kaiserslautern, Germany .
German Research Center for Artificial Intelligence, Kaiserslautern, Germany .ORCID iD: 0000-0002-1971-4295
2009 (English)In: Mixed and Augmented Reality, 2009, IEEE , 2009, 175-176 p.Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Visual simultaneous localisation and mapping (SLAM) is since the last decades an often addressed problem. Online mapping enables tracking in unknown environments. However, it also suffers from high computational complexity and potential drift. Moreover, in augmented reality applications the map itself is often not needed and the target environment is partially known, e.g. in a few 3D anchor or marker points. In this paper, rather than using SLAM, measurements based on optical flow are introduced. With these measurements, a modified visual-inertial tracking method is derived, which in Monte Carlo simulations reduces the need for 3D points and allows tracking for extended periods of time without any 3D point registrations.

Place, publisher, year, edition, pages
IEEE , 2009. 175-176 p.
Keyword [en]
augmented reality, camera tracking, inertial sensors, optical flow, sensor fusion, visual SLAM
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-90518DOI: 10.1109/ISMAR.2009.5336475ISBN: 978-1-4244-5390-0 (print)ISBN: 978-1-4244-5389-4 (print)OAI: oai:DiVA.org:liu-90518DiVA: diva2:613684
Conference
8th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2009), 19-22 October 2009, Orlando, FL, USA
Available from: 2013-03-31 Created: 2013-03-31 Last updated: 2015-09-22

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Hendeby, Gustaf

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
  • vancouver
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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  • asciidoc
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