Fast and accurate auto-focus in adverse conditions remains an arduous task. The emergence of event cameras has opened up new possibilities for addressing the challenge. This paper presents a new high-speed and accurate event-based focusing algorithm. Specifically, the symmetrical relationship between the event polarities in focusing is investigated, and the event-based focus evaluation function is proposed based on the principles of the event cameras and the imaging model in the focusing process. Comprehensive experiments on the public event-based autofocus dataset (EAD) show the robustness of the model. Furthermore, precise focus with less than one depth of focus is achieved within 0.004 seconds on our self-built high-speed focusing platform. The dataset and code will be made publicly available.
@article{arxiv.2303.08611,
title = {Improving Fast Auto-Focus with Event Polarity},
author = {Yuhan Bao and Lei Sun and Yuqin Ma and Diyang Gu and Kaiwei Wang},
journal= {arXiv preprint arXiv:2303.08611},
year = {2023}
}