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Adaptive Skinning for Interactive Hair-Solid Simulation.

Menglei Chai, Changxi Zheng, Kun Zhou

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    Summary
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    This study introduces an adaptive hair skinning method for realistic hair simulation. It enables interactive hair-solid collision handling for complex scenes with many hair strands.

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    Area of Science:

    • Computer Graphics
    • Computational Physics

    Background:

    • Reduced hair models rely on guide hairs for interpolation, assuming motion coherence.
    • Hair-solid interactions break this coherence, posing challenges for traditional models.

    Purpose of the Study:

    • To develop an adaptive hair skinning method for interactive hair simulation with hair-solid collisions.
    • To enable robust and efficient simulation of numerous hair strands interacting with complex solids.

    Main Methods:

    • Precomputing eligible guide hair sets and interpolation relationships using a strand-based hair skinning model.
    • Adaptively selecting guide hairs at runtime, considering motion coherence and potential collisions.
    • Implementing a two-way collision correction algorithm for sparsely sampled guide hairs.

    Main Results:

    • Interactive simulation of over 150,000 hair strands interacting with complex solids using only 400 guide hairs.
    • Demonstrated efficiency and robustness across various hairstyles and arbitrary user-controlled interactions.

    Conclusions:

    • The adaptive hair skinning method effectively handles hair-solid collisions in interactive simulations.
    • This approach significantly enhances the realism and performance of hair simulation for complex scenarios.