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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

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High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
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Published on: December 3, 2013

High-dynamic-range fringe projection profilometry using a double-exposure branch fusion network.

Xiao Li, Xingpei Chen, Wei Li

    Optics Express
    |June 11, 2026
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    Summary

    This study introduces a novel network for high-dynamic-range fringe projection profilometry, enabling precise 3D measurement of reflective surfaces by overcoming image limitations and data loss.

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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Metrology

    Background:

    • Manufacturing requires precise 3D measurement of high-reflective workpieces.
    • Low dynamic range in images causes fringe information loss, hindering accurate 3D measurement.
    • Existing 3D measurement techniques are often slow, imprecise, and lack dynamic range.

    Purpose of the Study:

    • To develop a high-dynamic-range (HDR) fringe projection profilometry method for accurate 3D measurement of high-reflective workpieces.
    • To address the challenges of fringe information loss and point-cloud loss in reflective surface measurement.
    • To improve the precision, efficiency, and dynamic range of 3D measurement systems.

    Main Methods:

    • A double-exposure branch fusion network (DBF-Net) was proposed for HDR fringe projection profilometry.
    • A sinusoidality-preserving algorithm was embedded within DBF-Net to generate HDR fringe images.
    • A weighted fusion loss function was designed to enhance network generalization.
    • Camera-projector inverse calibration established an accurate object-image relationship.

    Main Results:

    • The proposed DBF-Net achieved a measurement accuracy of 0.06 mm for high-reflective workpieces.
    • The method effectively resolved point-cloud loss issues common with reflective surfaces.
    • Comparative experiments demonstrated superior image quality, phase demodulation accuracy, and 3D reconstruction compared to existing methods.

    Conclusions:

    • DBF-Net offers a high-precision and efficient solution for 3D measurement of challenging reflective surfaces.
    • The developed method significantly advances fringe projection profilometry capabilities.
    • This technique is crucial for quality control and inspection in advanced manufacturing industries.