Realtime Time Synchronized Event-based Stereo
Realtime Time Synchronized Event-based Stereo
复制标题
实时时间同步的基于事件的立体声
DOI：
10.1007/978-3-030-01231-1_27
复制
发表时间：
2018
期刊：
影响因子：
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通讯作者：
Kostas Daniilidis
中科院分区：
文献类型：
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作者：
A. Z. Zhu;Yibo Chen;Kostas Daniilidis
在这项工作中，我们提出了一种新颖的基于事件的立体方法，该方法解决了移动事件相机的运动模糊问题。我们的方法使用相机的速度和一系列差异来同步事件的位置，就好像它们是在单个时间点捕获的一样。我们使用一对新颖的时间同步事件视差体积来表示这些事件，我们展示了它们消除了体积中正确视差处的像素的运动模糊，同时进一步模糊了错误视差处的像素。然后，我们在这些时间同步的事件视差体积上应用一种新颖的匹配成本，这既奖励体积之间的相似性，又惩罚模糊性。通过对多车辆立体事件相机数据集进行评估，我们表明我们的方法优于更昂贵的基于平滑的事件立体方法。
In this work, we propose a novel event based stereo method which addresses the problem of motion blur for a moving event camera. Our method uses the velocity of the camera and a range of disparities to synchronize the positions of the events, as if they were captured at a single point in time. We represent these events using a pair of novel time synchronized event disparity volumes, which we show remove motion blur for pixels at the correct disparity in the volume, while further blurring pixels at the wrong disparity. We then apply a novel matching cost over these time synchronized event disparity volumes, which both rewards similarity between the volumes while penalizing blurriness. We show that our method outperforms more expensive, smoothing based event stereo methods, by evaluating on the Multi Vehicle Stereo Event Camera dataset.