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    Area of Science:

    • Computer Vision
    • 3D Reconstruction
    • Optical Sensing

    Background:

    • Multiple light-coding depth cameras (LCDCs) are crucial for 3D reconstruction.
    • Interference between LCDCs degrades depth image quality and limits applications.

    Purpose of the Study:

    • To develop a method for reducing interference in multi-camera depth extraction systems.
    • To improve the quality and reliability of depth images generated by LCDCs.

    Main Methods:

    • Established a linear illumination model to analyze interference patterns.
    • Developed an interference reduction scheme using pattern modulation and demodulation.
    • Implemented an interference-alignment solution for fast, interference-free pattern recovery.

    Main Results:

    • The proposed scheme effectively reduces interference impact on depth images.
    • Recovered interference-free patterns enable accurate depth image generation.
    • Simulated and real-world experiments confirm the scheme's efficacy.

    Conclusions:

    • The novel modulation-demodulation technique significantly enhances depth image quality in multi-camera systems.
    • This method overcomes limitations caused by camera interference, improving 3D reconstruction accuracy.
    • The interference-alignment solution offers efficient recovery of high-quality depth data.