红外与激光工程, 2020, 49 (8): 20201026, 网络出版: 2020-12-31   

仿人眼视网膜成像技术研究进展(特约) 下载: 1010次

Research progress of bio-inspired retina-like imaging (Invited
作者单位
1 北京理工大学 光电学院 仿生机器人教育部重点实验室,北京 100081
2 上海航天控制技术研究所,上海 201109;上海市空间智能控制技术重点实验室,上海 201109
摘要
人眼视网膜因具有变分辨成像及冗余数据压缩的优势为成像方法与应用开辟了新途径。基于人眼视网膜成像机理,有效解决了大视场、高分辨、实时性难以兼顾的问题。随着半导体制造工艺与计算机处理能力的迅猛发展,仿人眼视网膜成像系统已广泛应用于视觉导航、识别与跟踪、生物医疗等领域, 目前,正朝着小型化、高效化、智能化方向发展。对比分析了仿人眼视网膜成像实现方法的优缺点,以现有实例化应用分析了仿人眼视网膜成像技术的发展现状并提出挑战与机遇,为进一步研究仿人眼视网膜成像提供参考与借鉴。
Abstract
With prominent advantages of rotation and scaling invariance and decreasing redundant information, etc., the features of human retina provides novel approaches for optical imaging and applications. The issue on the relationship among large filed of view, high resolution, real-time ability is well solved by the use of retina-like imaging mechanism. The retina-like imaging systems are widely used in the fields such as visual navigation, recognition and tracking, biomedical engineering. Meanwhile, the systems become small, efficiency and intelligent due to the fast development of semiconductor processing and computer processing techniques. The implementations of retina-like systems were compared, and the merit and demerit were summarized in the paper. Some typical practical applications were taken as example for presenting current research status. Opportunities and challenges were discussed for studying bio-inspired retina-like imaging further.

曹杰, 郝群, 张芳华, 崔焕, 唐鸣元, 程阳, 李鲲, 高泽东, 方亚毜. 仿人眼视网膜成像技术研究进展(特约)[J]. 红外与激光工程, 2020, 49(8): 20201026. Jie Cao, Qun Hao, Fanghua Zhang, Huan Cui, Mingyuan Tang, Yang Cheng, Kun Li, Zedong Gao, Yami Fang. Research progress of bio-inspired retina-like imaging (Invited)[J]. Infrared and Laser Engineering, 2020, 49(8): 20201026.

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