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Sensors (Basel, Switzerland)
Mar 30, 2018;18 (4):

A Hybrid Bionic Image Sensor Achieving FOV Extension and Foveated Imaging.

Qun Hao, Zihan Wang, Jie Cao, Fanghua Zhang
Author Information
  1. Qun Hao: School of optics and photonics, Beijing Institute of Technology, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China. qhao@bit.edu.cn.
  2. Zihan Wang: School of optics and photonics, Beijing Institute of Technology, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China. 3120120280@bit.edu.cn.
  3. Jie Cao: School of optics and photonics, Beijing Institute of Technology, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China. caojie@bit.edu.cn.
  4. Fanghua Zhang: School of optics and photonics, Beijing Institute of Technology, Key Laboratory of Biomimetic Robots and Systems, Ministry of Education, Beijing 100081, China. 3120160316@bit.edu.cn.
PMID: 29601531 DOI: 10.3390/s18041042

Abstract

Based on bionic compound eye and human foveated imaging mechanisms, a hybrid bionic image sensor (HBIS) is proposed in this paper to extend the field of view (FOV) with high resolution. First, the hybrid bionic imaging model was developed and the structure parameters of the HBIS were deduced. Second, the properties of the HBIS were simulated, including FOV extension, super-resolution imaging, foveal ratio and so on. Third, a prototype of the HBIS was developed to validate the theory. Imaging experiments were carried out, and the results are in accordance with the simulations, proving the potential of the HBIS for large FOV and high-resolution imaging with low cost.

Keywords

Risley prisms artificial compound eyes foveated imaging super-resolution

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MeSH Term

Bionics
Fovea Centralis
Journal Article
Article has an altmetric score of 1

Word Cloud

Created with Highcharts 10.0.0imagingHBISFOVbioniccompoundfoveatedhybriddevelopedsuper-resolutionImagingBasedeyehumanmechanismsimagesensorproposedpaperextendfieldviewhighresolutionFirstmodelstructureparametersdeducedSecondpropertiessimulatedincludingextensionfovealratioThirdprototypevalidatetheoryexperimentscarriedresultsaccordancesimulationsprovingpotentiallargehigh-resolutionlowcostHybridBionicImageSensorAchievingExtensionFoveatedRisleyprismsartificialeyes

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