All Outputs (2)

Inertial-visual pose tracking using optical flow-aided particle filtering (2014)
Conference Proceeding
Moemeni, A., & Tatham, E. (2014). Inertial-visual pose tracking using optical flow-aided particle filtering. In 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP). https://doi.org/10.1109/cimsivp.2014.7013296

This paper proposes an algorithm for visual-inertial camera pose tracking, using adaptive recursive particle filtering. The method benefits from the agility of inertial-based and robustness of vision-based tracking. A proposal distribution has been d... Read More about Inertial-visual pose tracking using optical flow-aided particle filtering.

Hybrid Marker-less Camera Pose Tracking with Integrated Sensor Fusion (2014)
Thesis
Moemeni, A. (2014). Hybrid Marker-less Camera Pose Tracking with Integrated Sensor Fusion. (Thesis). Centre for Computational Intelligence (CCI) - De Montfort University. Retrieved from https://nottingham-repository.worktribe.com/output/4780253

This thesis presents a framework for a hybrid model-free marker-less inertial-visual camera pose tracking with an integrated sensor fusion mechanism. The proposed solution addresses the fundamental problem of pose recovery in computer vision and robo... Read More about Hybrid Marker-less Camera Pose Tracking with Integrated Sensor Fusion.