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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 (engelsk)Inngår i: Mixed and Augmented Reality, 2009, IEEE , 2009, s. 175-176Konferansepaper, Poster (with or without abstract) (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE , 2009. s. 175-176
Emneord [en]
augmented reality, camera tracking, inertial sensors, optical flow, sensor fusion, visual SLAM
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-90518DOI: 10.1109/ISMAR.2009.5336475ISBN: 978-1-4244-5390-0 (tryckt)ISBN: 978-1-4244-5389-4 (tryckt)OAI: oai:DiVA.org:liu-90518DiVA, id: diva2:613684
Konferanse
8th IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2009), 19-22 October 2009, Orlando, FL, USA
Tilgjengelig fra: 2013-03-31 Laget: 2013-03-31 Sist oppdatert: 2015-09-22

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