Catadioptric planar compound eye with large field of view

Deng, Huaxia; Gao, Xicheng; Li, Yunyang; Li, Hang; Zhang, Jin; Zhong, Xiang

doi:10.1364/oe.26.012455

Cited by 15 publications

(11 citation statements)

References 32 publications

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“…As a result, the RDWEL seamlessly captures light over this continuous FOV. Significantly, the FOV of the RDWL is also much wider than all the planar artificial compound eyes ever reported, including 21° and 64.3° for Apposition compound‐eye object (APCOs), 70° × 10°, 58° × 46°, and 53.2° × 39.9° for artificial cluster eyes, and 90.4° for a catadioptric planar eye employing multiple mirrors . The FOV of this RDWEL also breaks the 110° latest record held by a wide‐angle planar camera, and is comparable with some of the curved artificial compound eyes …”

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confidence: 57%

“…We now report a WEL that possesses a seamless and significantly enhanced panoramic FOV of 115°, which originates from a dense, radial distribution of cylindrical waveguide arrays inscribed in a thin, flexible polymer film. To the best of our knowledge, this represents the greatest panoramic FOV of any known planar system . We inscribe such radially distributed WELs (RDWELs) with a large, converging population of self‐trapped filaments in a thermomechanically robust epoxide medium .…”

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confidence: 99%

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A Slim Polymer Film with a Seamless Panoramic Field of View: The Radially Distributed Waveguide Encoded Lattice (RDWEL)

Lin

Hosein

Benincasa

et al. 2018

Advanced Optical Materials

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are not limited by the paraxial operation of classical thin lenses, also offer entirely new opportunities to image wide angular spaces. [21,22] Artificial compound eyes are however predominantly curved or hemispherical constructs including microlens arrays interfaced to photodetectors, [7,16] and elastomeric hemispheres patterned with lenses. [6,[23][24][25] While the fabrication of these architectures typically involves multiple steps and components, soft, single-component eyes have also been generated [26,27] or proposed [28,29] by inducing lens-capped waveguides in UV-polymerizable resins in 2D [26] and 3D [27,28] geometries.Inspired by the collective behavior of ommatidia, we are developing new classes of multifunctional polymer films, which are inscribed with dense arrays or lattices of cylindrical waveguides. [30] In striking contrast to the predominantly hemispherical architectures of natural and artificial compound eyes, these waveguide encoded lattices (WELs) are flexible, slim (≤3 mm), and optically flat, which provides ease of integration into existing light-based technologies such as solar cells, cameras, and smart screens. In addition, distinct from known examples of natural or artificial eyes, WELs also possess translational symmetry, which affords the scalability that is necessary for manufacturing (e.g., roll-to-roll) processes. We generate WELs through a single-step, room-temperature technique that employs large ensembles of nonlinear self-trapped filaments of visible light elicited in photopolymerizable media to permanently inscribe arrays of multimode, polychromatic waveguides. [31][32][33][34] We previously fabricated a WEL consisting of a thin, epoxide film embedded with pentadirectional, intersecting arrays of multimode cylindrical waveguides, which conferred an FOV of 94°, which represented a 66% enhancement relative to an unstructured film. The FOV of this structure corresponded to the sum of the angular acceptance ranges of waveguide arrays oriented along five discrete angles. Significantly, there was no overlap between these five ranges and the consequent discontinuities-or gaps-in the FOV prevented cross-talk between nonparallel waveguides. This, in turn, enabled sophisticated imaging functions such as panoramic imaging, inversion, and focusing that would normally require bulky optics. [30] We now report a WEL that possesses a seamless and significantly enhanced panoramic FOV of 115°, which originatesThe nearly hemispherical field of view (FOV) of arthropodal compound eyes has inspired analogs ranging from curved, lens-patterned domes to planar constructs patterned with microlenses. A radial distribution of cylindrical waveguides that monotonically spans ±33° confers an FOV of 115° to a slim (≤3 mm) polymer film. This is the greatest panoramic FOV reported for any plane-faced, single-component structure. The radially distributed waveguide encoded lattice (RDWEL) waveguides are inscribed in a single, room-temperature step by a large (≈15 000 cm −2 ), converging population of self-trapped...

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supporting

confidence: 57%

mentioning

confidence: 99%

A Slim Polymer Film with a Seamless Panoramic Field of View: The Radially Distributed Waveguide Encoded Lattice (RDWEL)

Lin

Hosein

Benincasa

et al. 2018

Advanced Optical Materials

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“…Modern imaging systems play a vital role in various fields such as unmanned drones, autonomous driving, augmented reality, and virtual reality. [1,32] There is a need to incorporate additional features to these imaging systems, such as a wide FoV, 3D realtime depth sensing capability, and hyperspectral imaging function [33,34] (i.e., infrared (IR), visible (vis), and ultraviolet (UV)). However, to obtain such features, the conventional imaging systems require bulky optics and/or additional complex components such as multilens optics, multiple cameras, and color filter arrays.…”

Section: Bio-inspired Artificial Vision Systemmentioning

confidence: 99%

“…Recent progress in mobile electronics and machine vision has increased the demand for advanced image acquisition and processing devices. [ 1–6 ] However, conventional image recognition systems using a flat image sensor array with a multilens optical system and the von‐Neumann computing architecture for processing the acquired image data have several limitations such as high system‐level complexity, bulky module size, large computing load, and low energy efficiency. [ 7 ] Therefore, advanced devices in both image acquisition and image data processing are required.…”

Section: Introductionmentioning

confidence: 99%

Bio‐Inspired Artificial Vision and Neuromorphic Image Processing Devices

Kim

Lee

et al. 2021

Adv Materials Technologies

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However, conventional image recognition systems using a flat image sensor array with a multilens optical system and the von-Neumann computing architecture for processing the acquired image data have several limitations such as high system-level complexity, bulky module size, large computing load, and low energy efficiency. [7] Therefore, advanced devices in both image acquisition and image data processing are required. As a result, bio-inspired imaging devices [8][9][10] (i.e., artificial vision) and neuromorphic image processing devices [11][12][13] (i.e., artificial synapse) have received considerable attention (Figure 1).Bio-inspired imaging devices (e.g., bioinspired camera) have been developed for image acquisition. [14] Conventional imaging devices require bulky and heavy optical systems to obtain high-quality visual information. [15] In contrast, natural eyes have a simple and small optical geometry and high-quality image acquisition capability. [16,17] Therefore, bio-inspired artificial vision has been developed by mimicking the unique structural and functional advantage of natural eyes [2,6] (Figure 1a). For example, the chambered eye, typically found in humans and aquatic animals, exhibits a wide field of view, low optical aberration, and facile accommodation with a simple optical system. [16,17] The compound eye has distinctive optical geometries, and such structures offer various useful visual features. [18,19] Neuromorphic computing devices that can efficiently process massive image data acquired from the imaging device have been developed for image data processing. [20][21][22] The conventional von-Neumann architecture, in which the central processing unit and memory unit are separated, is not suitable to efficiently process the massive unstructured image data. [23,24] Therefore, a novel computing device inspired by the human brain (i.e., electronic synapse) has been developed [25,26] (Figure 1b). For example, the memristor crossbar array can efficiently perform vector multiplications. [27] Such a neuromorphic device implements artificial neural networks (ANN) in the hardware and enables efficient parallel processing of image data with low energy consumption. [25] In a previous study, a device that integrates the synaptic device and photodetector in one unit has been reported. [26] Despite recent progress in the hardware of the neuromorphic image data processing devices, such devices still require Remarkable technological developments for efficient image recognition (i.e., image acquisition and image data processing) have been reported in the past decade. Such advances in imaging and image processing technologies have driven significant progress in mobile electronics and machine vision applications. In particular, for image acquisition devices, two types of natural eyes (i.e., chambered and compound eyes) have inspired the development of novel multifunctional imaging devices with unique optical geometries. For image data processing devices, novel computing devices based on memristor crossbar arrays,...

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“…However, the uncorrected second-order spectrum of the optical glass results in a poor image quality. Some scientists make some contributions to the planar imaging system with multiple channels 5 – 8 . However, FOV is small and imaging quality is at a low level.…”

Section: Introductionmentioning

confidence: 99%

Real-time and ultrahigh accuracy image synthesis algorithm for full field of view imaging system

Liu

Wang

Yuan

et al. 2020

Sci Rep

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In this paper, we propose a real time, ultrahigh accuracy and full-field-of-view (RUF) algorithm for full field of view (FOV) imaging system. The proposed algorithm combines rough matching and precise matching method to stitch multiple images with the whole FOV in short time and high imaging quality. In order to verify real-time imaging effect of RUF algorithm, we also fabricate a multi-camera imaging system which includes 19 independent cameras. And the experiment result practically illustrates that full-FOV system can achieve good performances under a near-limiting FOV of 360° × 240° with low distortion, meanwhile, optical resolution reaches up to 95 megapixels. 100% registration-accuracy RUF algorithm for imaging in one second can be widely applied to any optical imaging engineering field with large FOV, such as remote sensing imaging, microscopy imaging, monitoring system engineering fields and so on. Optical imaging systems are now widely used in medical, biological and military fields 1-3. With the expansion of application scope, higher performance indexes of imaging systems are required, such as larger FOV, higher resolution and lower distortion. In previous work, the conventional single-channel imaging system adopts a complex diffraction/refraction hybrid system 4. However, the uncorrected second-order spectrum of the optical glass results in a poor image quality. Some scientists make some contributions to the planar imaging system with multiple channels 5-8. However, FOV is small and imaging quality is at a low level. Besides, multi-camera imaging system without image processing technology requires multi-window scanning imaging, which causes great confusion to observation for real-time and large-FOV performance 9. To obtain full FOV and high resolution, usually image synthesis algorithms are needed and the system combined with image synthesis algorithms can obtain high resolution 10-17. For example, AWARE-2 camera is proposed, which achieves high resolution synthesized image by algorithm. However, it only has horizontal 90°-120° FOVs and cylindrical 60°-70° FOVs, which can't provide a capacious vision 10. Furthermore, the conventional image processing algorithms, such as rotation-clipping-mapping algorithm, often contain relatively large errors and the imaging precision is at a millimeter level 11. Besides, conventional large-FOV imaging system with a pixel-level accuracy can't guarantee a full field-of-view imaging effect 12. And High-resolution imaging system based on traditional imaging synthesis algorithm is difficult to realize real-time imaging, which is extremely detrimental to engineering requirements 14. Some image processing techniques matching imaging system can't deal with the distortion, which causes bad distortion 15. The imaging system using scanning method is also time-consuming and make a timely judgment on the imaging result 16. Also, some imaging systems with image processing technique have no stable robustness and accuracy rate facing complex environment 17. These conventional multi-c...

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Catadioptric planar compound eye with large field of view

Cited by 15 publications

References 32 publications

A Slim Polymer Film with a Seamless Panoramic Field of View: The Radially Distributed Waveguide Encoded Lattice (RDWEL)

A Slim Polymer Film with a Seamless Panoramic Field of View: The Radially Distributed Waveguide Encoded Lattice (RDWEL)

Bio‐Inspired Artificial Vision and Neuromorphic Image Processing Devices

Real-time and ultrahigh accuracy image synthesis algorithm for full field of view imaging system

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