Calibration techniques for object tracking using a compound eye image sensor

Krishnasamy, Rubakumar; Thomas, Paul J.; Pepic, S.; Wong, Winnifred; Hornsey, Richard

doi:10.1117/12.579807

Cited by 7 publications

(5 citation statements)

References 10 publications

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“…Each fiber bundle is coherent and has an overall diameter of 3.2 mm and contains approximately 50 000 individual fibers of 10 µm in diameter. The FOVs for the DragonflEye system is about 100° in azimuth and 10° in elevation [90,91]. [89] with permission from The Optical Society.…”

Section: Solutions To Match a Curved Mla And Planar Image Sensormentioning

confidence: 99%

Review of state-of-the-art artificial compound eye imaging systems

et al. 2019

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The natural compound eye has received much attention in recent years due to its remarkable properties, such as its large field of view (FOV), compact structure, and high sensitivity to moving objects. Many studies have been devoted to mimicking the imaging system of the natural compound eye. The paper gives a review of state-of-the-art artificial compound eye imaging systems. Firstly, we introduce the imaging principle of three types of natural compound eye. Then, we divide current artificial compound eye imaging systems into four categories according to the difference of structural composition. Readers can easily grasp methods to build an artificial compound eye imaging system from the perspective of structural composition. Moreover, we compare the imaging performance of state-of-the-art artificial compound eye imaging systems, which provides a reference for readers to design system parameters of an artificial compound eye imaging system. Next, we present the applications of the artificial compound eye imaging system including imaging with a large FOV, imaging with high resolution, object distance detection, medical imaging, egomotion estimation, and navigation. Finally, an outlook of the artificial compound eye imaging system is highlighted.

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Section: Solutions To Match a Curved Mla And Planar Image Sensormentioning

confidence: 99%

Review of state-of-the-art artificial compound eye imaging systems

et al. 2019

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“…A biological compound eye has the characteristics of small volume, large field of view, sensitive to moving objects, and so on. [1]. Through the continuous exploration of the structure and imaging mechanism of the biological compound eye, the bionic compound eye imaging system has gradually developed for the intelligent, lightweight and miniaturization, without limitation of the volume to the field angle.…”

Section: Introductionmentioning

confidence: 99%

Calibration Technique of a Curved Zoom Compound Eye Imaging System

Liu

Diao

et al. 2019

Micromachines

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A calibration method for the designed curved zoom compound eye is studied in order to achieve detection and positioning of spatial objects. The structure of the curved zoom compound eye is introduced. A calibration test platform is designed and built based on the image characteristics of the compound eye, which can be constructed in the large field view for the calibration target. The spot images are obtained through image processing. The center of the spot is calculated by Gauss fitting method. This method is highly simple and intuitive, and it can be used in a zoom surface compound eye without any complex procedures. Finally, the corresponding relationship between the spot center coordinates and the incident light vector of the corresponding sub-eye is established, and the calibration of the multi vision positioning system is completed.

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“…Richard Hornsey proposed a prototype of beacons detector based on the compound eye structure -'DragonflEye'. But the system used fiber bundle to transmit image of each lens, thus there exist the disadvantage that is hard to assembly and the cost of the equipment is relatively higher [9][10]. A variety of the structures of artificial compound eye had been studied [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Lenses matching of compound eye for target positioning

2012

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Compound eye, as a new imaging method with multi-lens for a large field of view, could complete target positioning and detection fastly, especially at close range. Therefore it could be applicated in the fields of military and medical treatment and aviation with vast market potential and development prospect. Yet the compound eye imaging method designed use three layer construction of multiple lens array arranged in a curved surface and refractive lens and imaging sensor of CMOS. In order to simplify process structure and increase the imaging area of every sub-eye, the imaging area of every eye is coved with the whole CMOS. Therefore, for several imaging point of one target, the corresponding lens of every imaging point is unkonown, and thus to identify. So an algorithm was put forward. Firstly, according to the Regular Geometry relationship of several adjacent lenses, data organization of seven lenses with a main lens was built. Subsequently, by the data organization, when one target was caught by several unknown lenses, we search every combined type of the received lenses. And for every combined type, two lenses were selected to combine and were used to calculate one three-dimensional (3D) coordinate of the target. If the 3D coordinates are same to the some combine type of the lenses numbers, in theory, the lenses and the imaging points are matched. So according to error of the 3D coordinates is calculated by the different seven lenses numbers combines, the unknown lenses could be distinguished. The experimental results show that the presented algorithm is feasible and can complete matching task for imaging points and corresponding lenses.

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Calibration techniques for object tracking using a compound eye image sensor

Cited by 7 publications

References 10 publications

Review of state-of-the-art artificial compound eye imaging systems

Review of state-of-the-art artificial compound eye imaging systems

Calibration Technique of a Curved Zoom Compound Eye Imaging System

Lenses matching of compound eye for target positioning

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