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    Area of Science:

    • Optics and Photonics
    • Computer Vision
    • Image Processing

    Background:

    • Traditional color imaging often requires complex optical setups or multiple sensors.
    • Structured illumination is a powerful technique for extracting information from light intensity measurements.
    • Low-cost LED arrays offer potential for advanced optical sensing applications.

    Purpose of the Study:

    • To develop a cost-effective color imaging system using a single photodiode.
    • To enable high-speed imaging through structured illumination.
    • To extend the system for 3D shape reconstruction.

    Main Methods:

    • Utilizing a low-cost color LED array to generate structured Hadamard patterns.
    • Employing a single photodiode to capture light intensity variations.
    • Implementing a field-programmable gate array (FPGA) for high-speed pattern sequencing (up to 10 kHz).
    • Extending to 3D imaging using a non-calibrated photometric stereo technique with additional photodiodes.

    Main Results:

    • Successful demonstration of color imaging with a single photodiode.
    • Achieved high refresh rates for dynamic scene capture.
    • Validated 3D shape reconstruction capabilities using the photometric stereo method.
    • Experimental results presented for a 32x32 element LED array.

    Conclusions:

    • The proposed method provides a simple and low-cost approach to color and 3D imaging.
    • High-speed imaging is achievable with structured LED illumination.
    • The system's modularity allows for straightforward extension to 3D applications.