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Computational method for correcting complex optical distortion based on FOV division.

An Li, Yisi Wu, Xinxing Xia

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    |May 14, 2015
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    Summary
    This summary is machine-generated.

    This study introduces a novel computational method for correcting optical distortion in off-axis systems. The technique simplifies distortion calculation for wide fields of view (FOV), achieving high accuracy with fewer computations.

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    Area of Science:

    • Optical Engineering
    • Computational Imaging
    • Display Technology

    Background:

    • Off-axis optical systems, common in head-mounted and head-up displays, suffer from complex optical distortions.
    • Accurate distortion correction is crucial for image quality and user experience in these systems.

    Purpose of the Study:

    • To develop a computationally efficient method for correcting complex optical distortion in off-axis optical systems.
    • To provide a distortion model that directly relates object and image space without requiring intrinsic or extrinsic parameters.

    Main Methods:

    • The proposed method divides the wide field of view (FOV) into subsections for localized distortion analysis.
    • Distortion coefficients are calculated for each subsection using a simple linear polynomial, directly characterizing object-image relationships.
    • A pixel lookup table is generated by iteratively applying the inverse polynomial, enabling accurate distortion compensation.

    Main Results:

    • The method successfully corrected optical distortion, reducing root-mean-square deviation from 23-65 pixels to approximately 1 pixel.
    • Experimental results validated the effectiveness of the proposed computational approach.
    • The technique demonstrated its ability to compensate for distortion without complex calculations or parameter requirements.

    Conclusions:

    • The developed computational method offers an effective and simplified approach to correcting optical distortion in off-axis systems.
    • This technique provides a practical solution for improving image fidelity in head-mounted and head-up displays.
    • The method's efficiency and lack of parameter dependency make it suitable for real-world applications.