ARMAGHAN MOEMENI ARMAGHAN.MOEMENI@NOTTINGHAM.AC.UK
Assistant Professor
A framework for camera pose tracking using stochastic data fusion
Moemeni, A; Tatham, E
Authors
E Tatham
Abstract
A novel camera pose tracking system using a stochastic inertial-visual sensor fusion has been proposed. A method based on the Particle Filtering concept has been adapted for inertial and vision data fusion, which benefits from the agility of inertial-based tracking and robustness of vision-based camera tracking.
Citation
Moemeni, A., & Tatham, E. (2010). A framework for camera pose tracking using stochastic data fusion. In 2010 2nd International IEEE Consumer Electronics Society's Games Innovations Conference. https://doi.org/10.1109/icegic.2010.5716876
Conference Name | 2010 2nd International IEEE Consumer Electronics Society's Games Innovations Conference (ICE-GIC 2010) |
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Start Date | Dec 21, 2010 |
End Date | Dec 23, 2010 |
Online Publication Date | Feb 22, 2011 |
Publication Date | 2010-12 |
Deposit Date | Jul 21, 2020 |
Publisher | Institute of Electrical and Electronics Engineers |
Series ISSN | 2166-675X |
Book Title | 2010 2nd International IEEE Consumer Electronics Society's Games Innovations Conference |
ISBN | 9781424471782 |
DOI | https://doi.org/10.1109/icegic.2010.5716876 |
Public URL | https://nottingham-repository.worktribe.com/output/4781111 |
Publisher URL | https://ieeexplore.ieee.org/document/5716876 |
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