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题名:
Artificial compound eye: a survey of the state-of-the-art
作者: Wu SD(吴思东); Jiang, Tao; Zhang GX(张葛祥); Schoenemann, Brigitte; Neri, Ferrante; Zhu, Ming; Bu CG(卜春光); Han JD(韩建达); Kuhnert, Klaus-Dieter
作者部门: 机器人学研究室
通讯作者: 张葛祥
关键词: Artificial compound eye ; Image reconstruction ; Depth estimation ; Motion detection ; Extended depth of field ; Large field-of-view imaging
刊名: Artificial Intelligence Review
ISSN号: 0269-2821
出版日期: 2017
卷号: 48, 期号:4, 页码:573-603
收录类别: SCI ; EI
EI收录号: 20163602779228
WOS记录号: WOS:000414779900006
产权排序: 1
项目资助者: National Natural Science Foundation of China (61373047, 61672437), the projects supported by the State Key Laboratory of Robotics No. 2014-O09, by Scientific Research Foundation of CUIT under Grant No. J201508, by Scientific Research Fund of Sichuan Provincial Science & Technology Department under Grant No. 2015GZ0304, and by Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan Province No. 14zxtk04.
摘要: An artificial compound eye system is the bionic system of natural compound eyes with much wider field-of-view, better capacity to detect moving objects and higher sensitivity to light intensity than ordinary single-aperture eyes. In recent years, renewed attention has been paid to the artificial compound eyes, due to their better characteristics inheriting from insect compound eyes than ordinary optical imaging systems. This paper provides a comprehensive survey of the state-of-the-art work on artificial compound eyes. This review starts from natural compound eyes to artificial compound eyes including their system design, theoretical development and applications. The survey of artificial compound eyes is developed in terms of two main types: planar and curved artificial compound eyes. Finally, the most promising future research developments are highlighted.
语种: 英语
WOS标题词: Science & Technology ; Technology
类目[WOS]: Computer Science, Artificial Intelligence
关键词[WOS]: IMAGE-CAPTURING SYSTEM ; THIN OBSERVATION MODULE ; NEURAL SUPERPOSITION EYE ; BOUND OPTICS TOMBO ; SUPERRESOLUTION RECONSTRUCTION ; WAFER-LEVEL ; RESTORATION ALGORITHM ; MOTION ESTIMATION ; EXTENDED DEPTH ; TRILOBITE EYES
研究领域[WOS]: Computer Science
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内容类型: 期刊论文
URI标识: http://ir.sia.cn/handle/173321/19186
Appears in Collections:机器人学研究室_期刊论文

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作者单位: 1.School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 610031, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
3.Control Engineering College, Chengdu University of Information Technology, Chengdu, 610225, China
4.Department of Neurobiology/Animal Physiology, Biocenter Cologne, Institute of Zoology, University of Cologne, Zülpicherstrasse 47b, Cologne, 50674, Germany
5.Institute of Biology Education (Zoology), University of Cologne, Herbert Lewinstrasse 2, Cologne, 50931, Germany
6.Centre for Computational Intelligence, School of Computer Science and Informatics, De Montfort University, The Gateway, Leicester, England, LEI 9BH, United Kingdom
7.Department of Mathematical Information Technology, University of Jyväskylä, Agora, P. O. Box 35, Jyväskylä, 40014, Finland
8.Institute of Real Time Learning Systems, University of Siegen, Siegen, 57076, Germany
9.School of Mechanical Engineering, Xihua University, Chengdu, 610039, China

Recommended Citation:
Wu SD,Jiang, Tao,Zhang GX,et al. Artificial compound eye: a survey of the state-of-the-art[J]. Artificial Intelligence Review,2017,48(4):573-603.
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