How to Calibrate Your Event Camera
This provides a more accessible calibration method for event camera users by eliminating the need for specialized hardware like blinking LEDs or external screens.
The authors tackled the problem of calibrating event cameras by proposing a neural-network-based image reconstruction framework, achieving accurate calibration under common distortion models and a wide variety of parameters without needing active illumination.
We propose a generic event camera calibration framework using image reconstruction. Instead of relying on blinking LED patterns or external screens, we show that neural-network-based image reconstruction is well suited for the task of intrinsic and extrinsic calibration of event cameras. The advantage of our proposed approach is that we can use standard calibration patterns that do not rely on active illumination. Furthermore, our approach enables the possibility to perform extrinsic calibration between frame-based and event-based sensors without additional complexity. Both simulation and real-world experiments indicate that calibration through image reconstruction is accurate under common distortion models and a wide variety of distortion parameters