A framework for camera pose tracking using stochastic data fusion
(2010)
Presentation / Conference Contribution
Moemeni, A., & Tatham, E. (2010, December). A framework for camera pose tracking using stochastic data fusion. Presented at 2010 2nd International IEEE Consumer Electronics Society's Games Innovations Conference (ICE-GIC 2010), Hong Kong, China
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... Read More about A framework for camera pose tracking using stochastic data fusion.