Inertial-visual pose tracking using optical flow-aided particle filtering
(2014)
Presentation / Conference Contribution
Moemeni, A., & Tatham, E. (2014, December). Inertial-visual pose tracking using optical flow-aided particle filtering. Presented at 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), Orlando, FL, USA
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.