Integrated Navigation of Cameras for Augmented Reality
2004 (English)Report (Other academic)
In augmented reality, the position and orientation of the camera must be estimated very accurately. This paper will propose a filtering approach, similar to integrated navigation in aircraft, which is based on inertial measurements as primary sensor on which dead-reckoning can be based, and features in the image as supporting information to stabilize the dead-reckoning. The image features are considered to be sensor signals in a Kalman filter framework.
Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2004. , 8 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2645
Sensor fusion, Kalman filter, Inertial navigation, Augmented reality, Computer vision, Feature extraction
IdentifiersURN: urn:nbn:se:liu:diva-56007ISRN: LiTH-ISY-R-2645OAI: oai:DiVA.org:liu-56007DiVA: diva2:316725