Fabrication of Artificial Compound Eye with Controllable Field of View and Improved Imaging

2020 ◽  
Vol 12 (7) ◽  
pp. 8870-8878 ◽  
Author(s):  
Jiang Li ◽  
Wenjun Wang ◽  
Xuesong Mei ◽  
Dongxiang Hou ◽  
Aifei Pan ◽  
...  
Keyword(s):  
Compound Eye ◽  
Field Of View

Study of Large Field of View Compound-eye Orientation Technology

2016 ◽  
Vol 45 (5) ◽  
pp. 512003
Author(s):  
郭书基 GUO Shu-ji ◽  
史立芳 SHI Li-fang ◽  
曹阿秀 CAO A-xiu ◽  
吴向东 WU Xiang-dong ◽  
邓启凌 DENG Qi-ling
Keyword(s):  
Compound Eye ◽  
Field Of View ◽  
Large Field

Subtle control on hierarchic reflow for the simple and massive fabrication of biomimetic compound eye arrays in polymers for imaging at a large field of view

2016 ◽  
Vol 4 (1) ◽  
pp. 108-112 ◽  
Author(s):  
Mengjia Wang ◽  
Taisheng Wang ◽  
Honghai Shen ◽  
Jingli Zhao ◽  
Zhiyou Zhang ◽  
...  
Keyword(s):  
Compound Eye ◽  
Field Of View ◽  
Large Field ◽  
Micro Fabrication

In this work, a hierarchic reflow method is demonstrated for the monolithic micro-fabrication of biomimetic compound eye arrays.

A compact bionic compound eye camera for imaging in a large field of view

2021 ◽  
Vol 135 ◽  
pp. 106705
Author(s):  
Yuanyuan Wang ◽  
Chengyong Shi ◽  
Huangrong Xu ◽  
Yuanjie Zhang ◽  
Weixing Yu
Keyword(s):  
Compound Eye ◽  
Field Of View ◽  
Large Field

scholarly journals Catadioptric planar compound eye with large field of view

2018 ◽  
Vol 26 (10) ◽  
pp. 12455 ◽  
Author(s):  
Huaxia Deng ◽  
Xicheng Gao ◽  
Mengchao Ma ◽  
Yunyang Li ◽  
Hang Li ◽  
...  
Keyword(s):  
Compound Eye ◽  
Field Of View ◽  
Large Field

Design and fabrication of a freeform microlens array for a compact large-field-of-view compound-eye camera

2012 ◽  
Vol 51 (12) ◽  
pp. 1843 ◽  
Author(s):  
Lei Li ◽  
Allen Y. Yi
Keyword(s):  
Compound Eye ◽  
Microlens Array ◽  
Field Of View ◽  
Large Field

scholarly journals Biomimetic multispectral curved compound eye camera for real-time multispectral imaging in an ultra-large field of view

2021 ◽  
Author(s):  
Yuanjie Zhang ◽  
Huangrong Xu ◽  
Quan Guo ◽  
Dengshan Wu ◽  
Weixing Yu
Keyword(s):  
Real Time ◽  
Multispectral Imaging ◽  
Compound Eye ◽  
Field Of View ◽  
Large Field

scholarly journals Deep Ego-Motion Classifiers for Compound Eye Cameras

Sensors ◽  
2019 ◽  
Vol 19 (23) ◽  
pp. 5275
Author(s):  
Hwiyeon Yoo ◽  
Geonho Cha ◽  
Songhwai Oh
Keyword(s):  
Compound Eye ◽  
Semantic Segmentation ◽  
Field Of View ◽  
Large Field ◽  
Light Weight ◽  
Unique Form ◽  
Motion Classification ◽  
Proposed Model ◽  
Compound Images ◽  
High Level

Compound eyes, also known as insect eyes, have a unique structure. They have a hemispheric surface, and a lot of single eyes are deployed regularly on the surface. Thanks to this unique form, using the compound images has several advantages, such as a large field of view (FOV) with low aberrations. We can exploit these benefits in high-level vision applications, such as object recognition, or semantic segmentation for a moving robot, by emulating the compound images that describe the captured scenes from compound eye cameras. In this paper, to the best of our knowledge, we propose the first convolutional neural network (CNN)-based ego-motion classification algorithm designed for the compound eye structure. To achieve this, we introduce a voting-based approach that fully utilizes one of the unique features of compound images, specifically, the compound images consist of a lot of single eye images. The proposed method classifies a number of local motions by CNN, and these local classifications which represent the motions of each single eye image, are aggregated to the final classification by a voting procedure. For the experiments, we collected a new dataset for compound eye camera ego-motion classification which contains scenes of the inside and outside of a certain building. The samples of the proposed dataset consist of two consequent emulated compound images and the corresponding ego-motion class. The experimental results show that the proposed method has achieved the classification accuracy of 85.0%, which is superior compared to the baselines on the proposed dataset. Also, the proposed model is light-weight compared to the conventional CNN-based image recognition algorithms such as AlexNet, ResNet50, and MobileNetV2.

scholarly journals Fabrication and Characterization of Curved Compound Eyes Based on Multifocal Microlenses

Micromachines ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 854 ◽  
Author(s):  
Gaoge Lian ◽  
Yongshun Liu ◽  
KeKai Tao ◽  
Huaming Xing ◽  
Ruxia Huang ◽  
...  
Keyword(s):  
Compound Eye ◽  
Accurate Method ◽  
Field Of View ◽  
Curved Surface ◽  
Compound Eyes ◽  
Wide Field ◽  
Wide Field Of View ◽  
Field Imaging ◽  
Wide Field Imaging

Curved compound eyes have generated great interest owing to the wide field of view but the application of devices is hindered for the lack of proper detectors. One-lens curved compound eyes with multi-focal microlenses provide a solution for wide field imaging integrated in a commercial photo-detector. However, it is still a challenge for manufacturing this kind of compound eye. In this paper, a rapid and accurate method is proposed by a combination of photolithography, hot embossing, soft photolithography, and gas-assisted deformation techniques. Microlens arrays with different focal lengths were firstly obtained on a polymer, and then the planar structure was converted to the curved surface. A total of 581 compound eyes with diameters ranging from 152.8 µm to 240.9 µm were successfully obtained on one curved surface within a few hours, and the field of view of the compound eyes exceeded 108°. To verify the characteristics of the fabricated compound eyes, morphology deviation was measured by a probe profile and a scanning electron microscope. The optical performance and imaging capability were also tested and analyzed. As a result, the ommatidia made up of microlenses showed not only high accuracy in morphology, but also imaging uniformity on a focal plane. This flexible massive fabrication of compound eyes indicates great potential for miniaturized imaging systems.

Curved compound eye imaging system with a large field of view based on a plano-concave substrate

2012 ◽  
Author(s):  
Hongxia Zhang ◽  
Chenggang Zou ◽  
Le Song ◽  
Xiaodong Zhang ◽  
Fengzhou Fang ◽  
...  
Keyword(s):  
Compound Eye ◽  
Imaging System ◽  
Field Of View ◽  
Large Field

scholarly journals Measuring Compound Eye Optics with Microscope and MicroCT Images

2020 ◽  
Author(s):  
John Paul Currea ◽  
Yash Sondhi ◽  
Akito Y Kawahara ◽  
Jamie Theobald
Keyword(s):  
Open Source ◽  
Compound Eye ◽  
Field Of View ◽  
Compound Eyes ◽  
Animal Kingdom ◽  
Efficient Tool ◽  
Internal Structures ◽  
Natural Range ◽  
Insight Into ◽  
Development And Evolution

The arthropod compound eye is the most prevalent eye type in the animal kingdom, with an impressive range of shapes and sizes. Studying its natural range of morphologies provides insight into visual ecology, development, and evolution. In contrast to the camera-type eyes we possess, external structures of compound eyes often reveal resolution, sensitivity, and field of view if the eye is spherical. Non-spherical eyes, however, require measuring internal structures using imaging technology like MicroCT (μCT). Thus far, there is no efficient tool to automate characterizing compound eye optics. We present two open-source programs: (1) the ommatidia detecting algorithm (ODA), which automatically measures ommatidia count and diameter, and (2) a μCT pipeline, which calculates anatomical acuity, sensitivity, and field of view across the eye by applying the ODA. We validate these algorithms on images, images of replicas, and μCT scans from eyes of ants, fruit flies, moths, and a bee.

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