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Target-positioning method for a four-aperture infrared bionic compound eye based on the reprojection Kalman filter

Siyuan Zhao, Lin Luo, Weiqi Jin

    Applied Optics
    |August 12, 2025
    PubMed
    Summary

    This study introduces a novel target-positioning method for four-aperture infrared bionic compound eye systems, improving accuracy by considering spatial and pose differences. The enhanced system achieves precise static and dynamic target localization with minimal error.

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    Area of Science:

    • Optics and Photonics
    • Robotics and Automation
    • Computer Vision

    Background:

    • Single-aperture infrared cameras have limited fields-of-view.
    • Existing multi-aperture systems often neglect sub-eye pose differences, leading to slow convergence and reduced accuracy.
    • Bionic compound eye systems offer potential for enhanced imaging and positioning.

    Purpose of the Study:

    • To develop and validate a target-positioning method for four-aperture infrared bionic compound eye systems.
    • To improve target-positioning accuracy and convergence speed by accounting for spatial and pose variations among sub-aperture cameras.
    • To address limitations of traditional infrared imaging systems.

    Main Methods:

    • Captured static and dynamic target images using a four-aperture infrared bionic compound eye system.

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  • Developed a target-positioning method incorporating spatial and pose weights.
  • Employed a reprojection method for camera relationship establishment and a Kalman filter with spatially weighted projection for all camera combinations.
  • Performed single-aperture and dual-target calibrations.
  • Main Results:

    • Static target-positioning achieved horizontal error of 1.76%, vertical error of 2.44%, and depth-estimation error of 0.40% at 2660 mm.
    • Ablation studies confirmed the importance of spatial weighting.
    • Dynamic target-positioning error was controlled within 2.5% at 2840 mm in the overlapping field-of-view.

    Conclusions:

    • The proposed target-positioning method significantly enhances accuracy in four-aperture infrared bionic compound eye systems.
    • Accounting for spatial and pose differences is crucial for optimal performance.
    • The system demonstrates robust capabilities for both static and dynamic target tracking.