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...