Autofocus for Event Cameras
Shijie Lin, Yinqiang Zhang, Lei Yu, Bin Zhou, Xiaowei Luo, and Jia Pan

TL;DR
This paper introduces a novel autofocus framework for event cameras, utilizing an event-specific focus measure and search strategy, validated on a new dataset, outperforming existing methods in challenging conditions.
Contribution
The paper presents the first effective autofocus method tailored for event cameras, combining event rate measurement with a robust search algorithm, and provides a new dataset for evaluation.
Findings
Our method achieves higher accuracy than existing approaches.
The autofocus process is more efficient and reliable in challenging scenes.
Experimental results demonstrate significant improvements in real-world scenarios.
Abstract
Focus control (FC) is crucial for cameras to capture sharp images in challenging real-world scenarios. The autofocus (AF) facilitates the FC by automatically adjusting the focus settings. However, due to the lack of effective AF methods for the recently introduced event cameras, their FC still relies on naive AF like manual focus adjustments, leading to poor adaptation in challenging real-world conditions. In particular, the inherent differences between event and frame data in terms of sensing modality, noise, temporal resolutions, etc., bring many challenges in designing an effective AF method for event cameras. To address these challenges, we develop a novel event-based autofocus framework consisting of an event-specific focus measure called event rate (ER) and a robust search strategy called event-based golden search (EGS). To verify the performance of our method, we have collected…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsImage Processing Techniques and Applications · Photoacoustic and Ultrasonic Imaging · Advanced Optical Sensing Technologies
