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Dynamic modeling of butterfly subdivision surfaces

机译:蝶形细分曲面的动态建模

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The authors develop integrated techniques that unify physics basednmodeling with geometric subdivision methodology and present a scheme forndynamic manipulation of the smooth limit surface generated by then(modified) butterfly scheme using physics based “force”ntools. This procedure based surface model obtained through butterflynsubdivision does not have a closed form analytic formulation (unlikenother well known spline based models), and hence poses challengingnproblems to incorporate mass and damping distributions, internalndeformation energy, forces, and other physical quantities required tondevelop a physics based model. Our primary contributions to computerngraphics and geometric modeling include: (1) a new hierarchicalnformulation for locally parameterizing the butterfly subdivision surfacenover its initial control polyhedron, (2) formulation of dynamicnbutterfly subdivision surface as a set of novel finite elements, and (3)napproximation of this new type of finite elements by a collection ofnexisting finite elements subject to implicit geometric constraints. Ournnew physics based model can be sculpted directly by applying synthesizednforces and its equilibrium is characterized by the minimum of andeformation energy subject to the imposed constraints. We demonstratenthat this novel dynamic framework not only provides a direct and naturalnmeans of manipulating geometric shapes, but also facilitatesnhierarchical shape and nonrigid motion estimation from large range andnvolumetric data sets using very few degrees of freedom (control verticesnthat define the initial polyhedron)
机译:作者开发了将基于物理的建模与几何细分方法相统一的集成技术,并提出了一种基于动力学的“ ntools”工具对由(修改后的)蝶形图生成的光滑极限曲面进行动力学处理的方案。通过蝶形细分获得的基于过程的表面模型没有封闭形式的解析公式(与其他众所周知的基于样条曲线的模型不同),因此带来了挑战性的问题,需要结合质量和阻尼分布,内部变形能量,力以及其他需要基于物理的物理量模型。我们对计算机图形学和几何建模的主要贡献包括:(1)用于在其初始控制多面体上局部对蝶形细分表面进行局部参数化的新的层级公式;(2)将动态蝶形细分表面表示为一组新颖的有限元;以及(3)这种新型的有限元是由一系列隐含的几何约束下的有限元组成的。我们可以基于新的基于物理的模型直接通过施加合成力来进行雕刻,并且其平衡的特征是受施加的约束条件下的最小形变能。我们证明了这种新颖的动态框架不仅提供了直接且自然的几何形状操纵方法,而且还使用了很少的自由度(定义初始多面体的控制顶点),促进了大范围和非体积数据集的分层形状和非刚性运动估计

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