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Updated: Mar 26, 2026

Determining 3D Flow Fields via Multi-camera Light Field Imaging
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Shape from focus for large image fields.

Pavel Pavliček, Ivana Hamarová

    Applied Optics
    |February 3, 2016
    PubMed
    Summary

    Shape from focus accurately measures object geometry using local focus search. This fast, texture-based method determines surface point depth from a focus measure function, demonstrating its practical capability.

    Area of Science:

    • Computer Vision
    • Optical Metrology
    • 3D Reconstruction

    Background:

    • Accurate 3D shape measurement is crucial for various applications.
    • Existing methods may have limitations in speed or applicability.
    • Shape from focus offers a potential solution for precise geometrical analysis.

    Purpose of the Study:

    • To introduce and evaluate a novel Shape from Focus (SFF) method.
    • To demonstrate the efficiency and accuracy of the SFF technique.
    • To highlight the suitability of SFF for textured objects.

    Main Methods:

    • Utilizes a local focus search principle for depth determination.
    • Employs a focus measure function to quantify image focus quality.
    • Applies a large sampling step due to the non-oscillatory nature of the focus measure function.

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    Main Results:

    • The method accurately determines the longitudinal coordinate (depth) of surface points.
    • Experimental results confirm the capability of the proposed SFF approach.
    • The non-oscillatory focus measure function enables fast measurements.

    Conclusions:

    • The presented Shape from Focus method provides accurate geometrical measurements.
    • The technique is well-suited for optically rough, textured surfaces.
    • The speed and accuracy demonstrated highlight the method's practical viability.