Multi-aperture optical imaging systems and their mathematical light field acquisition models

Qiming QI; Ruigang FU; Zhengzheng SHAO; Ping WANG; Hongqi FAN

doi:10.1631/FITEE.2100058

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Multi-aperture optical imaging systems and their mathematical light field acquisition models

Regular Papers | Updated：2022-07-11

- Multi-aperture optical imaging systems and their mathematical light field acquisition models
- 多孔径光学成像系统及其光场采集数学模型
- Frontiers of Information Technology & Electronic Engineering Vol. 23, Issue 6, Pages: 823-844(2022)
- Affiliations：
  
  National Key Laboratory of Science and Technology on ATR, College of Electronic Science and Technology, National University of Defense Technology, Changsha410073, China
- Author bio：
  
  [ "Qiming QI was born in 1994. He received his MS degree in information and communication engineering from National University of Defense Technology, Changsha, China in 2021. His research interests are bionic vision application and optical automatic target recognition." ]
  [ "Hongqi FAN, corresponding author of this invited paper, received his BS degree in mechanical engineering and automation from Tsinghua University, Beijing, China in 2001, and his PhD degree in information and communication engineering from National University of Defense Technology, Changsha, China in 2008. He is currently a professor at National University of Defense Technology. His research interests include information fusion, target tracking, signal processing, and intelligent guidance systems." ]
- Funds：
- DOI：10.1631/FITEE.2100058
  CLC： O438
- Received：31 January 2021，
  
  Accepted：18 May 2021，
  
  Published：0 June 2022
- Accepted：
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Qiming QI, Ruigang FU, Zhengzheng SHAO, et al. Multi-aperture optical imaging systems and their mathematical light field acquisition models[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(6): 823-844.
DOI：

Qiming QI, Ruigang FU, Zhengzheng SHAO, et al. Multi-aperture optical imaging systems and their mathematical light field acquisition models[J]. Frontiers of Information Technology & Electronic Engineering, 2022, 23(6): 823-844. DOI： 10.1631/FITEE.2100058.

摘要

受昆虫复眼启发，为提高光学成像质量，如获得高分辨率图像或大视场图像，研究者提出了许多多孔径光学成像系统。光场采集数学模型是联系多孔径光学成像系统结构设计与应用的纽带，但光场采集数学模型较少被关注。本文系统梳理了典型多孔径光学成像系统（仿生复眼、光场相机、相机阵列），总结了不同结构下多孔径光学成像系统的一般性光场采集数学模型。列出的数学模型既可用于计算特定多孔径光学成像系统的关键指标，如视场大小和子图像重叠比等，也可作为数学工具，便于研究者完成对成像系统的定量设计与评估。

Abstract

Inspired by the compound eyes of insects

many multi-aperture optical imaging systems have been proposed to improve the imaging quality

e.g.

to yield a high-resolution image or an image with a large field-of-view. Previous research has reviewed existing multi-aperture optical imaging systems

but few papers emphasize the light field acquisition model which is essential to bridge the gap between configuration design and application. In this paper

we review typical multi-aperture optical imaging systems (i.e.

artificial compound eye

light field camera

and camera array)

and then summarize general mathematical light field acquisition models for different configurations. These mathematical models provide methods for calculating the key indexes of a specific multi-aperture optical imaging system

such as the field-of-view and sub-image overlap ratio. The mathematical tools simplify the quantitative design and evaluation of imaging systems for researchers.

关键词

Keywords

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Chen JIA

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Engineering Research Center of Learning-Based Intelligent System (Ministry of Education), Tianjin University of Technology

Key Laboratory of Computer Vision and System (Ministry of Education), Tianjin University of Technology

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