Chang Sehui, Kong Duk-Jo, Song Young Min
School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
Artificial Intelligence (AI) Graduate School, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
Nanophotonics. 2024 Mar 1;13(6):859-879. doi: 10.1515/nanoph-2024-0014. eCollection 2024 Mar.
Artificial vision systems pervade our daily lives as a foremost sensing apparatus in various digital technologies, from smartphones to autonomous cars and robotics. The broad range of applications for conventional vision systems requires facile adaptation under extreme and dynamic visual environments. However, these current needs have complicated individual visual components for high-quality image acquisition and processing, which indeed leads to a decline in efficiency in the overall system. Here, we review recent advancements in visual components for high-performance visual processing based on strategies of biological eyes that execute diverse imaging functionalities and sophisticated visual processes with simple and concise ocular structures. This review first covers the structures and functions of biological eyes (i.e., single-lens eyes and compound eyes), which contain micro-optic components and nanophotonic structures. After that, we focus on their inspirations in imaging optics/photonics, light-trapping and filtering components, and retinomorphic devices. We discuss the remaining challenges and notable biological structures waiting to be implemented.
人工视觉系统作为从智能手机到自动驾驶汽车和机器人等各种数字技术中最重要的传感设备,已渗透到我们的日常生活中。传统视觉系统的广泛应用需要在极端和动态视觉环境下易于适应。然而,当前的这些需求使得用于高质量图像采集和处理的各个视觉组件变得复杂,这确实导致了整个系统效率的下降。在此,我们基于生物眼睛的策略,综述了用于高性能视觉处理的视觉组件的最新进展,生物眼睛通过简单而简洁的眼部结构执行各种成像功能和复杂的视觉过程。本综述首先介绍了生物眼睛(即单透镜眼和复眼)的结构和功能,其包含微光学组件和纳米光子结构。之后,我们重点关注它们在成像光学/光子学、光捕获和滤波组件以及视网膜形态器件方面的启发。我们讨论了仍然存在的挑战以及有待实现的显著生物结构。