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Efficient texture mapping by adaptive mesh division in mesh-based computer generated hologram.

Yeong-Min Ji, Hanju- Yeom, Jae-Hyeung Park

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    Summary
    This summary is machine-generated.

    This study introduces an efficient texture mapping method for analytic computer-generated holograms using triangular meshes. The technique minimizes mesh increases and computation time for detailed holographic displays.

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    Area of Science:

    • Computer Graphics
    • Holography
    • Computational Imaging

    Background:

    • Texture mapping enhances object detail in computer graphics without increasing mesh complexity.
    • Direct application of texture mapping is challenging in fully-analytic triangular-mesh-based holograms due to amplitude distribution constraints.

    Purpose of the Study:

    • To develop an efficient texture mapping method for fully-analytic mesh-based computer-generated holograms.
    • To enable high-detail holographic representations while maintaining analytic properties.

    Main Methods:

    • Proposes adaptive triangular mesh division to manage mesh count with texture data.
    • Exploits geometrical similarity for efficient angular spectrum calculation of divided meshes.
    • Leverages pre-calculated data from original meshes.

    Main Results:

    • Achieves efficient texture mapping for analytic computer-generated holograms.
    • Minimizes the increase in triangular mesh count for texture image data.
    • Significantly reduces computation time compared to brute-force methods.
    • Enables high-detail holographic content.

    Conclusions:

    • The proposed method effectively integrates texture details into analytic holograms.
    • It offers a computationally efficient solution for creating detailed computer-generated holograms.
    • Feasibility confirmed through simulations and optical experiments.