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Related Experiment Video

Updated: Jun 22, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Human face measurement by projecting bandlimited random patterns.

Axel Wiegmann, Holger Wagner, Richard Kowarschik

    Optics Express
    |June 17, 2009
    PubMed
    Summary

    This study introduces a fast and accurate 3D human face measurement method using random pattern projection and a novel correlation technique. The system achieves high precision, enabling detailed facial analysis for medical applications.

    Area of Science:

    • Medical imaging
    • Computer vision
    • Metrology

    Background:

    • Accurate 3D facial anthropometry is crucial for various medical applications, including reconstructive surgery and diagnosis.
    • Existing 3D measurement techniques may lack the speed, accuracy, or robustness required for clinical settings.

    Purpose of the Study:

    • To develop and validate a rapid and precise 3D human face measurement system for medical use.
    • To assess the system's performance in terms of accuracy and noise reduction.

    Main Methods:

    • Projection of multiple random patterns onto the human face.
    • Utilizing a single-pixel correlation technique for precise homologous point localization.
    • Employing band-limited random patterns to enhance noise reduction.

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    Related Experiment Videos

    Last Updated: Jun 22, 2026

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
    13:44

    Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns

    Published on: August 30, 2013

    Topographical Estimation of Visual Population Receptive Fields by fMRI
    06:02

    Topographical Estimation of Visual Population Receptive Fields by fMRI

    Published on: February 3, 2015

    Main Results:

    • Achieved a standard deviation of less than 50 micrometers when comparing measured and ideal planar point clouds.
    • Demonstrated the capability to detect depth differences as small as 20 micrometers.
    • Validated the effectiveness of band-limited random patterns for noise suppression.

    Conclusions:

    • The developed method offers a fast and accurate solution for 3D human face measurement.
    • The high precision and noise reduction capabilities make it suitable for demanding medical applications.
    • This technique advances the field of facial anthropometry for clinical and research purposes.