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Eight solutions of the essential matrix for continuous camera motion tracking in video augmented reality Ling, L, Cheng, E and Burnett, I 2011, 'Eight solutions of the essential matrix for continuous camera motion tracking in video augmented reality', in Proceedings of the 2011 IEEE International Conference on Multimedia and Expo (ICME 2011), Barcelona, Spain, 11-15 July 2011, pp. 1-6. Document type: Conference Paper Collection: Conference Papers Title Eight solutions of the essential matrix for continuous camera motion tracking in video augmented reality Author(s) Ling, L Cheng, E Burnett, I Year 2011 Conference name 2011 IEEE International Conference on Multimedia and Expo (ICME 2011) Conference location Barcelona, Spain Conference dates 11-15 July 2011 Proceedings title Proceedings of the 2011 IEEE International Conference on Multimedia and Expo (ICME 2011) Publisher IEEE Signal Processing Society Place of publication Barcelona, Spain Start page 1 End page 6 Total pages 6 Abstract This paper proposes a flexible, markerless registration method that addresses the problem of realistic virtual object placement at any position in a video sequence. The registration consists of two steps: four points are specified by the user to build the world coordinate system, where the virtual object is rendered. A self-calibration camera tracking algorithm is then proposed to recover the camera viewpoint frame-by-frame, such that the virtual object can be dynamically and correctly rendered according to camera movement. The proposed registration method needs no reference fiducials, knowledge of camera parameters or the user environment, where the virtual object can be placed in any environment even without any distinct features. Experimental evaluations demonstrate low errors for several camera motion rotations around the X and Y axes for the self-calibration algorithm. Finally, virtual object rendering applications in different user environments are evaluated. Subjects Signal Processing Keyword(s) camera continuous motion recovery camera self-calibration solutions of the essential matrix video augmented reality DOI - identifier 10.1109/ICME.2011.6011828 Copyright notice © 2011 IEEE ISBN 9781612843490 Related Links Link Description http://dx.doi.org/10.1109/ICME.2011.6011828 Link to Published Version   Versions Version Filter Type Fri, 10 Feb 2012, 11:47:47 EST Mon, 24 Sep 2012, 16:43:48 EST Tue, 25 Sep 2012, 08:54:30 EST Wed, 18 Jun 2014, 21:34:15 EST Filtered Full Citation counts:   Cited 1 times in Thomson Reuters Web of Science Article | Citations Cited 2 times in Scopus Article | Citations Altmetric details: Access Statistics: 170 Abstract Views  -  Detailed Statistics Created: Fri, 10 Feb 2012, 11:32:00 EST by Catalyst Administrator