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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Marker encoded fringe projection profilometry for efficient 3D model acquisition.

B Budianto, P K D Lun, Tai-Chiu Hsung

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    |November 18, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new marker-encoded fringe projection profilometry (FPP) method for accurate 3D model acquisition. It overcomes limitations of traditional FPP in capturing objects with steep height changes, improving 3D reconstruction accuracy.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • Traditional fringe projection profilometry (FPP) struggles with 3D model accuracy for objects featuring abrupt height variations.
    • Ambiguities in fringe images lead to significant errors in reconstructed 3D models.

    Purpose of the Study:

    • To develop a novel marker-encoded fringe projection profilometry (FPP) scheme for efficient and accurate 3D model acquisition.
    • To address the limitations of traditional FPP in handling objects with complex height profiles.

    Main Methods:

    • Encoding markers within fringe patterns to resolve image ambiguities.
    • Utilizing analytic complex wavelet transform to extract marker information and restore fringe order.
    • Integration into an existing complex wavelet FPP framework.

    Main Results:

    • The proposed marker-encoded FPP scheme significantly enhances accuracy in 3D model reconstruction for objects with abruptly changing height profiles.
    • Simulations and experiments validate the improved performance compared to traditional FPP methods.
    • The method maintains real-time application capabilities for color objects.

    Conclusions:

    • The novel marker-encoded FPP scheme offers a robust solution for accurate 3D surface reconstruction, particularly for challenging object geometries.
    • This advancement improves the reliability and applicability of FPP in various fields requiring precise 3D measurements.
    • The method is suitable for real-time, high-accuracy 3D scanning of diverse objects.