基于多微面光纤面板的仿生复眼图像拼接及定位算法

doi:10.3969/j.issn.1000-1093.2018.06.014

兵工学报 ›› 2018, Vol. 39 ›› Issue (6): 1144-1150.doi: 10.3969/j.issn.1000-1093.2018.06.014

基于多微面光纤面板的仿生复眼图像拼接及定位算法

杨超，裘溯，金伟其，戴佳琳

(北京理工大学光电学院光电成像技术与系统教育部重点实验室，北京 100081)

收稿日期:2017-08-14 修回日期:2017-08-14 上线日期:2018-07-29
通讯作者: 裘溯(1973—)，男，讲师 E-mail:edmondqiu@bit.edu.cn
作者简介:杨超(1993—)，男，硕士。E-mail:yang00chao00@bit.edu.cn
基金资助:
武器装备预先研究共用技术项目(41417070501)；陆军装备预先研究项目（30102070103）

Image Mosaic and Positioning Algorithms of Bionic Compound Eye Based on Fiber Faceplate

YANG Chao, QIU Su, JIN Wei-qi, DAI Jia-lin

（Ministry of Education Key Laboratory of Photoelectronic Imaging Technology and System, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China）

Received:2017-08-14 Revised:2017-08-14 Online:2018-07-29

摘要/Abstract

摘要： 为研究仿生复眼系统的图像拼接以及目标定位技术，使用三维设计制图软件SolidWorks对9个光学透镜组成的仿生复眼系统镜头支架进行设计；使用尺度不变特征变换算法对特征点进行提取，通过采用欧氏距离法和随机抽样一致性算法对特征点对进行筛选；采用加权平均法对图像进行融合；根据子眼镜头之间相互交叠的信息，选用了双目测距原理对空间目标进行三维定位。搭建了一套视场角为74.3°的视觉系统，得到了一副大视场的仿生复眼拼接图像，对空间4个不同位置的目标进行了定位，证明此仿生复眼系统能够获取大视场的拼接图像，能够对空间目标进行定位。

关键词: 仿生复眼, 图像拼接, 目标三维定位, 多微面光纤面板

Abstract: In order to study the image mosaic and target location technology of bionic compound eye system, SolidWorks is used to design a lens holder for a bionic compound eye system composed of nine optical lenses. Feature points are extracted using scale-invariant feature transform algorithm. According to the overlapping information between the sub-eye lenses, the binocular distance measurement principle is adopted to locate spatial target in 3D. A vision system with a field of view of 74.3°is built, and a large field-of-view bionic compound eye mosaic image is obtained to locate the target in 4 different positions in space. It is proved that the bionic compound eye system can obtain large field-of-view mosaic images, and can locate the spatial target. Key

Key words: bioniccompoundeye, imagemosaic, targetthree-dimensionalpositioning, multi-facetedfiberfaceplate

中图分类号:

TH745.3

杨超，裘溯，金伟其，戴佳琳. 基于多微面光纤面板的仿生复眼图像拼接及定位算法[J]. 兵工学报, 2018, 39(6): 1144-1150.

YANG Chao, QIU Su, JIN Wei-qi, DAI Jia-lin. Image Mosaic and Positioning Algorithms of Bionic Compound Eye Based on Fiber Faceplate[J]. Acta Armamentarii, 2018, 39(6): 1144-1150.

参考文献

［1］金伟其, 林青, 裘溯, 等. 多孔径仿生复眼成像系统技术进展综述［J］. 光学与光电技术, 2011, 9(6): 9-13.
JIN Wei-qi, LIN Qing, QIU Su, et al. Summary of technical progress of multi-aperture biomimetic compound imaging system［J］. Optics & Optoelectronic Technology, 2011, 9(6): 9-13. (in Chinese)
［2］ Land M F. Compound eyes: old and new optical mechanisms［J］. Nature, 1980, 287(5784):681-686.
［3］ Stéphane V, Franck R, Robert L, et al. CurvACE: a miniature curved artificial compound eye［J］. Frontiers in Physiology, 2013, 110(23): 9267-9272.
［4］郭书基, 史立芳, 曹阿秀, 等. 基于大视场人工复眼定位技术［J］. 光子学报, 2016, 45(5): 87-92.
GUO Shu-ji, SHI Li-fang, CAO A-xiu, et al. Study of large field of view compound-eye orientation technology［J］. Acta Photonica Sinica, 2016, 45(5):87-92. (in Chinese)
［5］付跃刚, 赵宇, 刘智颖, 等. 用于目标识别的紧凑型仿生复眼光学系统设计［J］. 红外与激光工程, 2017, 46(6): 0602001-1-0602001-7.
FU Yue-gang, ZHAO Yu, LIU Zhi-ying, et al. Design of compact bionic compound eye optical system used for target identification［J］. Infrared and Laser Engineering, 2017, 46(6): 0602001-1-0602001-7. (in Chinese)
［6］ Tanida J, Kumagai T, Yamada K, et al. Thin observation module by bound optics (TOMBO): concept and experimental verification［J］. Applied Optics, 2001, 40(11): 1806-1813.
［7］ Laycock L C, Handerek V A. Miniature imaging devices for airborne platforms［C］∥SPIE Europe Security and Defence. Florence, Italy: SPIE, 2008: 1-5.
［8］张姗姗, 宋乐, 张雄,等. 一种用于高速三维跟踪的小型可开窗复眼系统［J］. 光电子·激光, 2014, 25(9):1796-1802.
ZHANG Shan-shan, SONG Le, ZHANG Xiong, et al. A compact high-speed 3D-tracking module based on a compound-eye camera［J］. Journal of Optoelectronics·Laser, 2014, 25(9):1796-1802. (in Chinese)
［9］刘艳, 苟健, 尹韶云, 等. 人工复眼成像三维定位系统设计［J］. 光电工程, 2014, 41(5):89-94.
LIU Yan, GOU Jian, YIN Shao-yun, et al. Design of three-dimensional orientation system based on artificial compound eye imaging［J］. Opto-Electronic Engineering, 2014, 41(5):89-94. (in Chinese)

［10］刘志刚. 多孔径部分重叠仿生复眼成像系统的结构设计和实验研究［D］. 北京: 北京理工大学, 2014.
LIU Zhi-gang. Structural design and experimental study of partial overlapping biomimetic compound imaging system with multi-aperture［D］. Beijing: Beijing Institute of Technology, 2014.(in Chinese)
［11］裘溯, 倪宇, 金伟其,等. 基于微端面光纤面板的多孔径视场重叠复眼的视场模型［J］. 光学精密工程, 2015, 23(11): 3018-3025.
QIU Su, NI Yu, JIN Wei-qi, et al. FOV modeling of multi-aperture superposition compound eye based on micro-surface fiber faceplate［J］. Optics and Precision Engineering, 2015, 23(11): 3018-3025.(in Chinese)
［12］ Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography［J］. Communications of the ACM, 1981, 24(6): 381-395.
［13］李瑞峰, 李庆喜. 机器人双目视觉系统的标定与定位算法［J］. 哈尔滨工业大学学报, 2007, 39(11): 1719-1722.
LI Rui-feng, LI Qing-xi. Calculation of the position between mobile robot and object based on two CCD cameras［J］. Journal of Harbin Institute of Technology, 2007, 39(11): 1719-1722. (in Chinese)

第39卷第6期
2018 年6月兵工学报ACTA
ARMAMENTARIIVol.39No.6Jun.2018

基于多微面光纤面板的仿生复眼图像拼接及定位算法

Image Mosaic and Positioning Algorithms of Bionic Compound Eye Based on Fiber Faceplate

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