基于几何测量和变形的真实感织物模拟

提出一种有效、直观的基于几何测量和网格变形的织物模拟方法,可以获得具有不同面料属性的织物真实感形态.织物几何测量方法能够度量反映面料几何属性的3个关键特征,包括复原性、拉伸性和弯曲性.对应这3个几何属性度量,建立包括顶点位置、边长和二面角约束能量项的基于微分网格变形的泛函能量优化模型.3个变形能量项各自对应的权重是从每种真实面料测量数据中量化统计得到.该变形能量函数可以统一在最小二乘数值优化中求解,通过过程优化和权重设置,即可模拟到真实织物行为.实验结果表明,该方法可以有效地仿真到不同面料材质的织物真实感效果.

Realistic Cloth Simulation Based on Geometrical Measurement and Deformation

This paper presents an efficient and expressive cloth simulation method based on geometrical measurement and mesh deformation for obtaining realistic cloth shapes with various fabric materials. Geometrical measurement can measure the geometric material properties including recovery, stretching and bending of different real cloth behaviors. In accordance with these three geometric properties, three energy terms related to the vertex position, edge length and dihedral angle are embedded into the functional energy optimization model based on differential mesh deformation. The corresponding weights for the three energy terms are learned from the measured data with real cloth. The solution to the energy optimization can be obtained by a numerical solution in the least square sense. Using the weight settings and numerical optimization can simulate realistic cloth behaviors. Experimental results show that the presented method can effectively provide realistic cloth effects with various materials.