类果蝇复眼视觉神经计算建模及仿生应用研究综述

章盛; 沈洁; 郑胜男; 施建强

类果蝇复眼视觉神经计算建模及仿生应用研究综述

章盛^1,,
沈洁¹,
郑胜男^{1, 2},
施建强²

1.
河海大学计算机与信息学院, 江苏南京 211106
2.
南京工程学院计算机工程学院, 江苏南京 211167

基金项目:

国家自然科学基金资助项目 61903124

国家自然科学基金资助项目 51979085

详细信息

作者简介:
章盛（1989-），男，安徽芜湖人，博士研究生，主要从事图像信息处理与仿生技术方面研究。E-mail: 18365393973@163.com

中图分类号: TP391
计量
- 文章访问数: 190
- HTML全文浏览量: 163
- PDF下载量: 60
- 被引次数: 0
出版历程
- 收稿日期: 2022-04-05
- 修回日期: 2022-05-11
- 刊出日期: 2023-03-20

Research Review of Drosophila-like Compound Eye Visual Neural Computational Modeling and Bionic Applications

1.
College of Computer and Information, Hohai University, Nanjing 211106, China
2.
School of Computer Engineering, Nanjing Institute of Technology, Nanjing 211167, China

摘要

摘要: 随着类果蝇复眼视觉神经计算建模技术的快速发展，如何提高运动目标的实时检测追踪等仿生应用能力成为类果蝇复眼视觉神经领域的研究难题，所以研究类果蝇复眼视觉神经计算建模及其仿生应用具有非常重要的意义。类果蝇复眼视觉神经系统是一个高度平行的专用视觉神经网络模型，并具有适度的复杂性以允许快速进行视觉信息处理。本文首先从类果蝇复眼的生理结构、感光细胞的光电转换、视叶神经的加工处理、中央脑的认知抉择4个部分详细阐述类果蝇复眼视觉神经计算建模的研究现状，然后介绍类果蝇复眼视觉神经计算建模在军事与民用领域的典型仿生应用，最后展望了类果蝇复眼视觉神经计算建模的发展趋势与挑战。
- 类果蝇复眼 /
- 视觉神经 /
- 仿生应用 /
- 光电转换 /
- 视叶神经 /
- 认知抉择
Abstract: The rapid development of the Drosophila-like compound eye visual neural computational modeling technology has improved the real-time detection and tracking of motion targets and other bionic applications a research challenge. The Drosophila-like compound eye visual neural system is a special highly parallel visual neural network model that uses moderate complexity to provide fast visual information processing. In this study, the status of current research on the visual neural computational modeling of the Drosophila-like compound eye is discussed in detail in four parts: physiological structure of the Drosophila-like compound eye, photoelectric conversion of the photoreceptor cells, processing of the optic lobe nerve, and cognitive decision of the central brain. The typical bionic applications of the Drosophila-like compound eye visual neural computational modeling in the military and civilian fields are introduced, and the development trends and challenges of the computational modeling are considered.
- Drosophila-like compound eye /
- visual nerve /
- bionic application /
- photoelectric conversion /
- optic lobe nerve /
- cognitive decision

HTML全文

图 1 类果蝇复眼视觉神经模型的通路图^[13]

Figure 1. Pathway diagram of the visual neural model in the Drosophila-like compound eye^[13]

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图 2 类果蝇复眼视觉神经通路与图像/视频信息处理对应关系图

Figure 2. Corresponding diagram between the visual pathway of the Drosophila-like compound eye and the image/video information processing

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图 3 类果蝇复眼生理结构示意图^[16]

Figure 3. Physiological structure schematic diagram of the Drosophila-like compound eye^[16]

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图 4 并列与重叠模型复眼光学成像示意图^[18]

Figure 4. Schematic diagram of the parallel and the overlapping compound eye optical imaging^[18]

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图 5 国外人工仿生复眼光学成像模型

Figure 5. Foreign artificial bionic compound eye optical imaging model

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图 6 国内人工仿生复眼光学成像模型

Figure 6. Domestic artificial bionic compound eye optical imaging model

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图 7 类果蝇单眼的结构模式图^[36]

Figure 7. Structural pattern diagram of the single eye in Drosophila-like^[36]

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图 8 类果蝇视叶神经的结构模式图^[37]

Figure 8. Structural pattern diagram of the optic nerve in drosophila-like^[37]

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图 9 类果蝇复眼运动神经网络模型的示意图

Figure 9. Schematic diagram of the movement neural network model in Drosophila-like compound eye

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图 10 类果蝇大脑三维模拟图^[51]

Figure 10. Three-dimensional simulation diagram of the brain in Drosophila-like^[51]

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图 11 类果蝇的中央脑结构纵截面图^[52]

Figure 11. Longitudinal section diagram of the central brain structure in Drosophila-like^[52]

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图 12 偏振光导航仪的原理示意图^[56]

Figure 12. Principle schematic diagram of the polarized light navigator^[56]

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图 13 空对地计速仪的原理示意图^[57]

Figure 13. Principle schematic diagram of the air-to-ground speedometer^[57]

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图 14 复眼导弹制导装置^[58]

Figure 14. Missile guidance device of the compound eye^[58]

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图 15 安装在机器人CurvACE复眼模块^[16]

Figure 15. Installed in the CurvACE compound eye module of the robot^[16]

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图 16 复眼医学成像设备的结构示意图^[60]

Figure 16. Structure schematic diagram of the compound eye medical imaging equipment^[60]

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图 17 目标检测追踪示意图

Figure 17. Schematic diagram of the target detection and tracking

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