Neuromorophic vision sensing and processing

Tobi Delbruckl
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引用次数: 27

Abstract

Conventional machine vision faces a fundamental latency-power tradeoff, where decreasing latency means increasing frame rate and power consumption. The communication by spikes in the brain provides the inspiration for developments of event-based vision sensors and processing, which could avoid this tradeoff entirely. This paper provides a personal perspective on developments of event-based vision sensors, algorithms, and applications over the period 2002–2016.
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神经形态视觉感知与处理
传统的机器视觉面临着一个基本的延迟-功率权衡,其中减少延迟意味着增加帧率和功耗。大脑中尖峰的交流为基于事件的视觉传感器和处理的发展提供了灵感,这可以完全避免这种权衡。本文对2002-2016年期间基于事件的视觉传感器、算法和应用的发展提供了个人观点。
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