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Related Experiment Video

Updated: May 7, 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

Taking advantage of selective change driven processing for 3D scanning.

Francisco Vegara1, Pedro Zuccarello, Jose A Boluda

  • 1Departament d'Informàtica, Escola Tècnica Superior d'Enginyeria, Universitat de València, Avd. de la Universidad, s/n, Burjassot, València 46100, Spain. Fernando.Pardo@uv.es.

Sensors (Basel, Switzerland)
|October 3, 2013
PubMed
Summary
This summary is machine-generated.

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Selective Change Driven (SCD) vision enhances 3D laser scanning by using sensors that only report changed pixels. This overcomes limitations of classical sensors for high-speed 3D reconstruction.

Area of Science:

  • Computer Vision
  • 3D Imaging Technology
  • Sensor Technology

Background:

  • Classical Complementary Metal-Oxide Semiconductor (CMOS) sensors in 3D laser scanning are limited by sequential data acquisition.
  • The Nyquist-Shannon sampling theorem highlights these limitations in high-speed scenarios.
  • Selective Change Driven (SCD) vision offers a novel approach by processing only changed pixels.

Purpose of the Study:

  • To compare the performance of classical CMOS sensors versus SCD CMOS sensors in 3D laser scanning.
  • To evaluate the effectiveness of SCD vision in overcoming high-speed acquisition and processing limitations.
  • To analyze the time and frequency domain performance of both capturing strategies.

Main Methods:

  • Implementation of two experimental setups: one with a classical CMOS sensor and another with an SCD CMOS sensor.

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Last Updated: May 7, 2026

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Published on: December 3, 2013

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  • Utilizing the Active Triangulation technique for 3D scanning.
  • Performing systematic pixel thresholding and comparative analysis under high-speed conditions.

    • Main Results:

    • Classical CMOS sensors demonstrated limitations in high-speed acquisition due to sequential array processing, as evidenced by experiments with a rotating helix.
    • The SCD 3D scanning prototype significantly outperformed the classical approach.
    • Both methods achieved identical 3D reconstructions in static scenes, validating the comparison parameters.

    Conclusions:

    • SCD vision technology is highly suitable for 3D laser scanning applications, particularly for high-speed data capture.
    • SCD sensors overcome the inherent speed limitations of traditional CMOS sensors in dynamic 3D scanning.
    • The study validates SCD vision as a superior method for high-performance 3D scanning.