Research Progress on Retina-Like Imaging and Its Applications

Authors

  • Qun Hao Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, 100081, China and Yangtze Delta Region Academy, Beijing Institute of Technology, Jiaxing, 314003, China.
  • Yu Tao Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, 100081, China and System Engineering Institute, Academy of Army Research, Chinese People’s Liberation Army, Beijing, 100039, China.
  • Jie Cao Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, 100081, China and Yangtze Delta Region Academy, Beijing Institute of Technology, Jiaxing, 314003, China.
  • Mingyuan Tang Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, 100081, China.
  • Yang Cheng Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, 100081, China and Yangtze Delta Region Academy, Beijing Institute of Technology, Jiaxing, 314003, China.
  • Yaqian Ning Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, 100081, China.
  • Bin Han Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, 100081, China.
  • Chun Bao Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, 100081, China and Yangtze Delta Region Academy, Beijing Institute of Technology, Jiaxing, 314003, China.
  • Huan Cui Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing Institute of Technology, Beijing, 100081, China.

DOI:

https://doi.org/10.9734/bpi/ist/v2/15069D

Keywords:

Retina-like imaging, three-dimensional reconstruction, deep learning, ghost imaging

Abstract

The properties of the human eye retina, including space-variant resolution and gaze characters, provide many advantages for numerous applications that simultaneously require a large field of view, high resolution, and real-time performance. Therefore, retina-like mechanisms and sensors have received considerable attention in recent years. This paper provides a review of state-of-the-art retina-like imaging techniques and applications. First, we introduce the principle and implementing methods, including software and hardware, and describe the comparisons between them. Then, we present typical applications combined with retina-like imaging, including three-dimensional acquisition and reconstruction, target tracking, deep learning, and ghost imaging. Finally, the challenges and outlook are discussed to further study for practical use. The results are beneficial for better understanding retina-like imaging.

Published

2022-01-21

How to Cite

Qun Hao, Yu Tao, Jie Cao, Mingyuan Tang, Yang Cheng, Yaqian Ning, … Huan Cui. (2022). Research Progress on Retina-Like Imaging and Its Applications. Innovations in Science and Technology Vol. 2, 132–154. https://doi.org/10.9734/bpi/ist/v2/15069D

Issue

Innovations in Science and Technology Vol. 2

Section

Chapters