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    This study introduces a high-speed 3D shape measurement technique using optimized composite fringe patterns. The method achieves accurate and robust 3D reconstruction with dense fringe patterns at high frame rates.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • Traditional stereo phase unwrapping for 3D measurement faces accuracy limitations due to fringe period constraints.
    • Ensuring phase unwrapping stability typically requires fringe periods around 20, hindering precise 3D shape acquisition.

    Purpose of the Study:

    • To develop a high-speed, high-accuracy 3D shape measurement technique overcoming limitations of conventional methods.
    • To enhance phase measurement accuracy and robustness by embedding speckle patterns into fringe patterns.

    Main Methods:

    • Proposed an optimized composite fringe pattern design embedding speckle patterns into 4-step phase-shifting fringe patterns.
    • Introduced an evaluation criterion for speckle pattern correlation quality to improve matching accuracy.
    • Utilized adaptive window image correlation with geometric constraints for phase ambiguity elimination.
    • Implemented regional diffusion compensation (RDC) for correcting mismatched regions.

    Main Results:

    • Achieved accurate, unambiguous, and distortion-free 3D point cloud recovery with only 4 projected patterns.
    • Demonstrated high-speed (5000 fps) and high-accuracy 3D shape measurement using dense (64-period) fringe patterns.
    • Verified the robustness and effectiveness of the proposed computational framework through experimental results.

    Conclusions:

    • The developed technique enables efficient and precise 3D shape measurement.
    • The composite fringe pattern approach significantly improves phase measurement accuracy and robustness.
    • This method offers a complete framework for high-performance 3D reconstruction.