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Directionally Decomposing Structured Light for Projector Calibration.

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    This study introduces a novel device for accurate projector calibration, overcoming shallow depth-of-field limitations. The method ensures precise intrinsic parameter estimation for dynamic projection mapping (PM) applications.

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    Area of Science:

    • Computer Vision
    • Optical Engineering
    • Robotics

    Background:

    • Accurate intrinsic projector calibration is crucial for projection mapping (PM), particularly in dynamic scenarios.
    • Shallow depth-of-field (DOF) in projectors poses a significant challenge for precise calibration.
    • Existing methods often struggle with projectors having limited DOF or when working distances are constrained.

    Purpose of the Study:

    • To develop a practical method for estimating projector intrinsic parameters that circumvents the limitations of shallow DOF.
    • To present a calibration device enabling accurate calibration irrespective of projector focusing distance and aperture size.
    • To validate the technique's efficacy for dynamic projection mapping applications.

    Main Methods:

    • A calibration device employing a flat-bed scanner and pinhole-array masks was designed.
    • Projectors cast structured light patterns onto the device, with pinholes filtering specific rays.
    • Extracted rays passing through pinholes were used to calibrate the projector using a standard pinhole camera model.

    Main Results:

    • The proposed technique successfully calibrated projectors with varying focusing distances and aperture sizes.
    • Calibration accuracy was comparable to conventional methods.
    • The method proved effective even for projectors positioned far from the target, where traditional methods fail.

    Conclusions:

    • The developed calibration device and method effectively address the DOF limitations in projector calibration.
    • The technique provides intrinsic parameters suitable for high-accuracy dynamic projection mapping.
    • This approach expands the applicability of projection mapping in scenarios with challenging projector configurations.