A Practical and Controllable Hair and Fur Model for Production Path Tracing
A Practical and Controllable Hair and Fur Model for Production Path Tracing
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DOI：
10.1111/cgf.12830
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发表时间：
2015-07
影响因子：
2.5
通讯作者：
Matt Jen-Yuan Chiang;Benedikt Bitterli;C. Tappan;Brent Burley
中科院分区：
文献类型：
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作者：
Matt Jen-Yuan Chiang;Benedikt Bitterli;C. Tappan;Brent Burley
我们提出了一个节能的纤维着色模型的头发和毛皮，是足够有效的路径跟踪。我们的模型采用了近场公式来避免光纤上昂贵的积分，考虑了所有具有单个波瓣的高阶内反射事件，并提出了一种基于logistic分布的方位角粗糙度的新的闭合形式分布。此外，我们通过模拟推导出一种参数化方法，该方法将直观的用户控件（如多次散射和各向同性圆柱体粗糙度）与底层物理参数联系起来。
We present an energy‐conserving fiber shading model for hair and fur that is efficient enough for path tracing. Our model adopts a near‐field formulation to avoid the expensive integral across the fiber, accounts for all high order internal reflection events with a single lobe, and proposes a novel, closed‐form distribution for azimuthal roughness based on the logistic distribution. Additionally, we derive, through simulation, a parameterization that relates intuitive user controls such as multiple‐scattering albedo and isotropic cylinder roughness to the underlying physical parameters.