Retina-like imaging and its applications: A brief review

Qun Hao, Yu Tao, Jie Cao*, Mingyuan Tang, Yang Cheng, Dong Zhou, Yaqian Ning, Chun Bao, Huan Cui

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

12 Citations (Scopus)

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 stateof-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 threedimensional 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.

Original languageEnglish
Article number7058
JournalApplied Sciences (Switzerland)
Volume11
Issue number15
DOIs
Publication statusPublished - 1 Aug 2021

Keywords

  • Deep learning
  • Ghost imaging
  • Retina-like imaging
  • Three-dimensional reconstruction

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