EBIV - Event-based image velocimetry
Python and C++ code implementations for the analysis of event-camera recordings obtained from fluid flows.
Input: raw event data represented as time-surfaces
Output: Recovered velocity field
Publication
[Associated publication] "Event-based imaging velocimetry: an assessment of event-based cameras for the measurement of fluid flows" (Experiments in Fluids 63, Article number 101 (2022), DOI 10.1007/s00348-022-03441-6)
[Open access] https://doi.org/10.1007/s00348-022-03441-6
@article{EBIV:2022,
title = {Event-based imaging velocimetry: an assessment of event-based cameras for the measurement of fluid flows},
author = {Willert, Christian and Klinner, Joachim},
doi = {10.1007/s00348-022-03441-6},
url = {https://doi.org/10.1007/s00348-022-03441-6},
journal = {Exp. Fluids},
volume = {63},
pages = {101},
year = {2022},
}
Further reading
https://github.com/uzh-rpg/event-based_vision_resources
Acknowledgements
(todo)
More to come soon...