摘要
为增强模拟纬编针织物外观的真实感,在已有三维线圈模型的基础上,通过引入球的极坐标方程和基于类正态分布函数的随机方法计算毛羽模型控制点,构造曲线模拟毛羽走向,控制构建股线的单纱根数和弯曲度,从微观结构上使线圈模拟更为逼真.最后对已生成的线圈图像进行特征像素提取,计算最小重复周期,使其满足四方连通性,形成纬编针织物外观纹理.
In order to make the appearance of 3D simulated weft knitted fabric look more realistic, a novel method that simulates the microstructure of fabric yarns and hairiness is proposed. The method adopts polar equations to present the model of yarns and uses approximately normal distribution function to compute the positions of control points on the model within a block of fabric. It allows user to promote the sense of reality of simulated fabric by tuning parameters to change the microstructure of fabric surface, such as the direction of fabric hairiness, the number and twisting degree of yarn which makes up folded yarns. And at last, on the basis of extracting the feature pixels from the generated coil pictures and calculating the minimum repetition period, the hairiness of the knitted fabric are simulated to acquire quartet connectivity, thus forming the appearance of seamless knitted texture.
出处
《东华大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第5期644-649,共6页
Journal of Donghua University(Natural Science)
基金
上海市科委重点科技攻关资助项目(10511500902)
关键词
针织物
毛羽
控制点
股线
特征像素
四方连通性
knitted fabric
hairiness
control point
folded yarn
characteristic pixel
quartet connectivity
