基于三维人体扫描模型的衬衣版型生成方法

针对衬衣定制自动生成版型与体型匹配误差不可控问题，提出一种基于三维人体扫描模型的衬衣版型生成方法。首先，扫描目标人体获得个性化的三维人体模型，通过对模型截面曲线的几何特征分析，在三维人体模型上提取个性化体型特征点；使用服装制版标准人台，构建一个衬衣的标准三维基础模型；然后，使用保刚性变形算法，以个性化体型特征点为约束，实现该衬衣标准三维基础模型的变形；最后，使用基于质点-弹簧系统的三维模型展平算法，根据变形后的衬衣三维模型各个版片生成对应的二维版片，添加经实验验证的版片边缘线缩放量，生成适应目标体型的个性化衬衣版型。实验结果表明，该方法能够生成合体的衬衣版型，基于数字化模型和自动化处理算法，实现衬衣版型的自动化生成，保证个性化制版的精度，并提高制版效率，为服装智能生产制造提供技术解决方案。

Shirt pattern generating method based on 3-D human scanning model

Aiming at uncontrollable matching error between automatically generated pattern and body shape in shirt customization, an automatic generating method based on 3-D human body scanning model is proposed. The personalized 3-D human model was obtained by scanning the target human body, and the personalized body feature points were extracted on the 3-D human model by analyzing the geometric characteristics of the cross-section curves of the model. A standard 3-D basic model of a shirt was constructed by using the standard mannequin for garment pattern making, and as-rigid-as possible (ARAP) deformation algorithm was used to create the deformation of the standard 3-D basic model with the personalized body feature points as constraints. Finally, using a 3-D model flattening algorithm based on the mass-spring system, the corresponding 2-D pattern was generated according to the deformed 3-D clothing models, and offsets of the edge lines of the pattern verified by experiments were considered in generating the final personalized shirt pattern that adapts to the target body shape. The experimental results show that this method can generate shirt pattern with good fitting. Based on the digital model and automatic processing algorithm, automatic generation of shirt pattern can be achieved that ensures the accuracy and improves the efficiency of personalized pattern making. The research outcome provides a technical solution for garment intelligent manufacturing.