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Related Experiment Video

Updated: Jan 19, 2026

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Dual surface structured light vision system based on multidimensional parameter coding.

Ming Xu, Xianxin Lu, Haiming Huang

    Applied Optics
    |September 11, 2019
    PubMed
    Summary

    This study introduces a dual surface structured light vision system for adaptive robot perception. It achieves high-accuracy object localization with improved performance over traditional methods.

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    Area of Science:

    • Robotics
    • Computer Vision
    • Optical Engineering

    Background:

    • Traditional structured light vision systems face limitations in adaptability and performance for complex robotic tasks.
    • Accurate and rapid object localization is crucial for advanced robotic perception and manipulation.

    Purpose of the Study:

    • To propose a novel dual surface structured light vision system for high-performance, adaptive robot vision perception.
    • To enhance the accuracy and application scope of structured light vision systems in industrial robotics.

    Main Methods:

    • Developed a dual surface structured light system using an auxiliary light source and a principal structured light.
    • Implemented multidimensional parameter coding for adaptive encoding of the principal structured light based on scene analysis.
    • Utilized scene images from the auxiliary light to determine parameters for the principal structured light.

    Main Results:

    • The proposed system adaptively encodes structured light based on scene parameters, capturing detailed depth information.
    • Achieved positioning accuracy ranging from 0.1 mm to 20 μm within 0.8 seconds in industrial experiments.
    • Demonstrated wider application scenarios and higher accuracy compared to traditional structured light vision systems.

    Conclusions:

    • The dual surface structured light vision system offers a high-performance, adaptive solution for robot vision perception.
    • The system enables quick and accurate target object localization, crucial for industrial automation.
    • The adaptive encoding strategy significantly enhances the system's applicability and precision in diverse industrial settings.