摘要
为提高经编毛绒织物仿真效果的真实性,解决仿真过程中因毛绒方向完全一致而过分呆板或完全随机而效果杂乱的问题,采用分形噪声方法计算毛绒织物中毛绒方向的随机性,将生成的分形噪声作为纹理送入图形处理器(GPU)中进一步调整毛绒方向。采用1组沿毛绒切线方向分布的切片来表示1根毛绒,根据毛绒切线方向和观察视线方向的关系,定义了2种切片以保证在任意视线角度下都能生成连续的毛绒效果。利用GPU的几何着色器实现了三维毛绒的模拟,通过与实际织物的对比实验,证明了该方法能在保证仿真速度的同时可实现具有自然纹理感的经编毛绒织物仿真。
In order to improve simulation of warp knitted plush fabrics, an approach based on fractal noise and geometry shader was proposed to solve the problem of stiff or messy plush when defining the direction as consistent tangential or completely random. The randomness of plush using fractal noise was calculated, and then the generated fractal noise was as a texture to feed the GPU for further adjustment. A set of chips along the tangential direction of plush were used to represent a plush. According to the relation between the tangential direction of the plush and the observation, two different chips were defined to ensure displaying continuous plush at any viewpoint. 3-D simulation of warp knitted plush fabric was realized by using a geometry shader of GPU. Compared with real fabrics, the approach is proved superiorly naturalistic with real-time efficiency.
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2018年第2期171-176,共6页
Journal of Textile Research
基金
国家自然科学基金项目(61602212)
江苏高校优势学科建设工程资助项目(苏政办发[2014]37号)
关键词
经编毛绒
分形噪声
几何着色器
织物仿真
warp knitted plush fabric
fractal noise
geometry shader
fabric simulation
作者简介
张爱军（1982-），男，助理研究员，博士生。主要研究方向为数字纺织技术。E-mail：zaj@jiangnan．edu．cn。
