Fast and accurate auto-focus in adverse conditions remains an arduous task. The paper presents a polarity-based event camera auto-focus algorithm featuring high-speed, precise auto-focus in dark, dynamic scenes that conventional frame-based cameras cannot match. 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 EAD dataset 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.
翻译:在不利条件下快速和准确的自动聚焦仍然是一项艰巨的任务。 本文展示了以极地事件为基础的事件相机自动聚焦算法,以高速、精确的自动聚焦于黑暗、动态的场景,常规框架相机无法与之匹配。 具体地说,对事件焦点两极之间的对称关系进行了调查,并根据事件摄像机的原则和焦点过程的成像模型,提出了事件焦点评价职能。 对公共EAD数据集的全面实验显示了模型的稳健性。 此外,在0. 004秒内,我们自建高速聚焦平台上实现了精确聚焦,并将公布数据集和代码。</s>