Event-Based Visual Flow
Event-Based Visual Flow
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DOI：
10.1109/tnnls.2013.2273537
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发表时间：
2014-02-01
影响因子：
10.4
通讯作者：
Bartolozzi, Chiara
中科院分区：
文献类型：
--
作者：
Benosman, Ryad;Clercq, Charles;Bartolozzi, Chiara
本文介绍了一种新的方法来计算密集的视觉流使用精确的定时尖峰从一个异步的基于事件的视网膜。生物视网膜和它们的人工视网膜完全是异步的，数据驱动的，依赖于一种与目前使用的大多数帧捕获技术完全不同的光采集模式。本文介绍了一个框架，估计视觉流的事件的时空空间的局部属性。我们将表明，精确的视觉流的方向和幅度可以估计使用局部微分方法定义的表面上的共同活动的事件。实验结果表明，他们与高的数据稀疏性和基于事件的采集时间分辨率，允许微秒精度的运动流的计算，并在非常低的计算成本的方法充分。
This paper introduces a new methodology to compute dense visual flow using the precise timings of spikes from an asynchronous event-based retina. Biological retinas, and their artificial counterparts, are totally asynchronous and data-driven and rely on a paradigm of light acquisition radically different from most of the currently used frame-grabber technologies. This paper introduces a framework to estimate visual flow from the local properties of events' spatiotemporal space. We will show that precise visual flow orientation and amplitude can be estimated using a local differential approach on the surface defined by coactive events. Experimental results are presented; they show the method adequacy with high data sparseness and temporal resolution of event-based acquisition that allows the computation of motion flow with microsecond accuracy and at very low computational cost.