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    Area of Science:

    • Computer Graphics
    • Material Science

    Background:

    • Subsurface scattering (SSS) creates translucency in materials like coffee, milk, and marble.
    • Accurate simulation of SSS, especially multiple scattering events, is computationally intensive due to increased uncertainty and computation time.

    Purpose of the Study:

    • To develop a computationally efficient method for simulating subsurface scattering effects.
    • To leverage the correlation between multiple scattering and double scattering for acceleration.

    Main Methods:

    • Exploiting the correlation between multiple scattering and double scattering effects.
    • Developing a model for fast computation of double-scattering events.
    • Utilizing a precomputed density function for compact storage and efficient computation.

    Main Results:

    • Demonstrated a strong correlation between the surface effects of multiple scattering and those after only two scattering events.
    • Developed and implemented a model for accelerated computation of double-scattering events.
    • Achieved faster computation of subsurface scattering effects.

    Conclusions:

    • The correlation between multiple and double scattering significantly accelerates illumination simulations.
    • The proposed model and implementation offer an efficient approach to rendering translucent materials.
    • This method reduces computational cost while maintaining visual fidelity for subsurface scattering effects.