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.