论文标题
Bina-Rep事件框架：基于事件的摄像机的简单有效表示
Bina-Rep Event Frames: a Simple and Effective Representation for Event-based cameras
论文作者
论文摘要
本文介绍了“ Bina-Rep”，这是一种简单的表示方法，将事件的异步流从事件摄像机转换为一系列稀疏和表达事件帧。通过将多个二进制事件图像表示为$ n $ - 位号的单个帧，我们的方法能够获得更稀疏，更具表现力的事件框架，这要归功于原始流中有关事件的保留信息。再加上我们提出的基于卷积神经网络的模型，该报告的结果实现了最先进的性能，并反复优于其他常见事件表示方法。与其他表示技术相比，我们的方法还显示出对共同形象腐败的竞争性鲁棒性。
This paper presents "Bina-Rep", a simple representation method that converts asynchronous streams of events from event cameras to a sequence of sparse and expressive event frames. By representing multiple binary event images as a single frame of $N$-bit numbers, our method is able to obtain sparser and more expressive event frames thanks to the retained information about event orders in the original stream. Coupled with our proposed model based on a convolutional neural network, the reported results achieve state-of-the-art performance and repeatedly outperforms other common event representation methods. Our approach also shows competitive robustness against common image corruptions, compared to other representation techniques.
