arXiv:2105.12362 공식 코드 · Papers with Code

How to Calibrate Your Event Camera

Manasi Muglikar, Mathias Gehrig, Daniel Gehrig, Davide Scaramuzza

제출 2021-05-26

원문 초록

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

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