Super-helices for predicting the dynamics of natural hair
Super-helices for predicting the dynamics of natural hair
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DOI：
10.1145/1179352.1142012
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发表时间：
2006-07
期刊：
影响因子：
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通讯作者：
Florence Bertails;Basile Audoly;Marie-Paule Cani;B. Querleux;Frédéric Leroy;J. L. Lévêque
中科院分区：
文献类型：
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作者：
Florence Bertails;Basile Audoly;Marie-Paule Cani;B. Querleux;Frédéric Leroy;J. L. Lévêque
模拟人的头发被认为是计算机动画中最困难的任务之一。在本文中，我们表明，基尔霍夫方程的动态，不可扩展的弹性杆可以用来准确地预测头发的运动。这些方程充分考虑了头发束在弯曲和扭转时的非线性行为。我们引入了一种新的可变形模型来解决这些问题：每条链由一个超级障碍物表示，即，分段螺旋杆，其使用拉格朗日力学的原理来动画化。这将产生逼真且稳定的模拟，允许较大的时间步长。我们的第二个贡献是对超级螺旋模型的深入验证，通过一系列基于比较真实的和模拟的头发运动的实验进行。我们表明，我们的模型有效地处理了各种头发类型，具有高度的真实感。
Simulating human hair is recognized as one of the most difficult tasks in computer animation. In this paper, we show that the Kirchhoff equations for dynamic, inextensible elastic rods can be used for accurately predicting hair motion. These equations fully account for the nonlinear behavior of hair strands with respect to bending and twisting. We introduce a novel deformable model for solving them: each strand is represented by a Super-Helix, i.e., a piecewise helical rod which is animated using the principles of Lagrangian mechanics. This results in a realistic and stable simulation, allowing large time steps. Our second contribution is an in-depth validation of the Super-Helix model, carried out through a series of experiments based on the comparison of real and simulated hair motions. We show that our model efficiently handles a wide range of hair types with a high level of realism.