面向高效机器视觉的生物启发式图像传感器综述

IF 20.6 1区物理与天体物理 Q1 OPTICS Advanced Photonics Pub Date : 2024-04-08 DOI:10.1117/1.ap.6.2.024001

Wenhao Tang, Qing Yang, Hang Xu, Yiyu Guo, Jiqiang Zhang, Chunfang Ouyang, Leixin Meng, Xu Liu

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引用次数: 0

摘要

随着传感器网络的快速发展，机器视觉面临着海量数据的存储和计算问题。人类视觉系统具有非常高效的信息感知和计算能力，这对解决机器视觉中的上述问题具有启迪意义。本综述旨在全面总结生物启发图像传感器的最新进展，以提高机器视觉处理效率。在简要介绍了生物启发图像传感器的研究

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Review of bio-inspired image sensors for efficient machine vision

With the rapid development of sensor networks, machine vision faces the problem of storing and computing massive data. The human visual system has a very efficient information sense and computation ability, which has enlightening significance for solving the above problems in machine vision. This review aims to comprehensively summarize the latest advances in bio-inspired image sensors that can be used to improve machine vision processing efficiency. After briefly introducing the research

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来源期刊

Advanced Photonics OPTICS-

CiteScore

22.70

自引率

1.20%

发文量

审稿时长

18 weeks

期刊介绍： Advanced Photonics is a highly selective, open-access, international journal that publishes innovative research in all areas of optics and photonics, including fundamental and applied research. The journal publishes top-quality original papers, letters, and review articles, reflecting significant advances and breakthroughs in theoretical and experimental research and novel applications with considerable potential. The journal seeks high-quality, high-impact articles across the entire spectrum of optics, photonics, and related fields with specific emphasis on the following acceptance criteria: -New concepts in terms of fundamental research with great impact and significance -State-of-the-art technologies in terms of novel methods for important applications -Reviews of recent major advances and discoveries and state-of-the-art benchmarking. The journal also publishes news and commentaries highlighting scientific and technological discoveries, breakthroughs, and achievements in optics, photonics, and related fields.