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Related Experiment Video

Updated: Jan 19, 2026

Author Spotlight: Assessment of Visual Acuity in Central Vision Loss Through Motion-Based Peripheral Vision Testing
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Real-time motion-induced-error compensation in 3D surface-shape measurement.

Xinran Liu, Tianyang Tao, Yingying Wan

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    |September 13, 2019
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    Summary

    This study introduces a novel method to accurately measure 3D shapes using fringe projection profilometry by compensating for motion-induced errors. The technique enhances measurement accuracy for moving and deforming surfaces.

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    Area of Science:

    • Optical Metrology
    • 3D Shape Measurement
    • Computer Vision

    Background:

    • Fringe projection profilometry is susceptible to measurement errors caused by object motion.
    • Unknown phase shifts due to motion lead to inaccuracies in 3D shape reconstruction.

    Purpose of the Study:

    • To develop a robust method for estimating and compensating motion-induced phase shifts in fringe projection profilometry.
    • To reduce measurement errors in dynamic 3D shape measurement scenarios.

    Main Methods:

    • Utilizing three phase maps from a multiple measurement sequence.
    • Calculating phase map differences to estimate pixel-wise motion-induced phase shifts.
    • Implementing phase-error compensation for non-homogeneous surface motion.

    Main Results:

    • Successfully reduced motion-induced errors in real-time shape measurements.
    • Demonstrated effectiveness on surfaces with high depth variation.
    • Validated performance on moving and deforming surfaces.

    Conclusions:

    • The proposed method effectively mitigates motion artifacts in fringe projection profilometry.
    • Enables accurate 3D shape measurement of dynamic and complex surfaces.
    • Offers a practical solution for real-time applications requiring high precision.