神经形态工程学
计算机科学
图像传感器
帧(网络)
人工智能
高效能源利用
帧速率
计算机体系结构
计算机视觉
工程类
人工神经网络
电信
电气工程
作者
Fuyou Liao,Feichi Zhou,Yang Chai
出处
期刊:Journal of Semiconductors
[IOP Publishing]
日期:2021-01-01
卷期号:42 (1): 013105-013105
被引量:94
标识
DOI:10.1088/1674-4926/42/1/013105
摘要
Abstract Conventional frame-based image sensors suffer greatly from high energy consumption and latency. Mimicking neurobiological structures and functionalities of the retina provides a promising way to build a neuromorphic vision sensor with highly efficient image processing. In this review article, we will start with a brief introduction to explain the working mechanism and the challenges of conventional frame-based image sensors, and introduce the structure and functions of biological retina. In the main section, we will overview recent developments in neuromorphic vision sensors, including the silicon retina based on conventional Si CMOS digital technologies, and the neuromorphic vision sensors with the implementation of emerging devices. Finally, we will provide a brief outline of the prospects and outlook for the development of this field.
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