Live Demonstration: Incremental Motion Estimation for Event-Based Cameras by Dispersion Minimisation
Abstract
Live demonstration setup. (Left) The setup consists of a DAVIS346B event camera connected to a standard consumer laptop and undergoes some motion. (Right) The motion estimates are plotted in red and, for rotation-like motions, the angular velocities provided by the camera IMU are also plotted in blue. This plot exemplifies an event camera undergoing large rotational motions (up to ~ 1000 deg/s) around the (a) x-axis, (b) y-axis and (c) z-axis. Overall, the incremental motion estimation method follows the IMU measurements. Optionally, the resultant global optical flow can also be shown, as well as the corresponding generated events by accumulating them onto the image plane (bottom left corner).
Cite
Text
Nunes and Demiris. "Live Demonstration: Incremental Motion Estimation for Event-Based Cameras by Dispersion Minimisation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2021. doi:10.1109/CVPRW53098.2021.00145Markdown
[Nunes and Demiris. "Live Demonstration: Incremental Motion Estimation for Event-Based Cameras by Dispersion Minimisation." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2021.](https://mlanthology.org/cvprw/2021/nunes2021cvprw-live/) doi:10.1109/CVPRW53098.2021.00145BibTeX
@inproceedings{nunes2021cvprw-live,
title = {{Live Demonstration: Incremental Motion Estimation for Event-Based Cameras by Dispersion Minimisation}},
author = {Nunes, Urbano Miguel and Demiris, Yiannis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2021},
pages = {1322-1323},
doi = {10.1109/CVPRW53098.2021.00145},
url = {https://mlanthology.org/cvprw/2021/nunes2021cvprw-live/}
}