摘要
为通过探究人体与服装间的距离松量分布规律构建成衣样板生成规则,首先使用三维扫描仪对未穿着服装的人台进行扫描,获得人台基本数据。然后扫描穿着7件相同款式不同尺码的西装,获得7件服装点云数据。再将人台数据和服装数据进行叠加展示服装间的距离松量分布规律,并通过测量人台与服装间10个特征部位的截面环建立距离松量计算模型,进行给定松量和距离的松量转换。最后用三维曲线拟合方式以胸围曲线为例进行了样板增量的转化。结果表明:各部位距离松量回归方程的R~2值均大于0.9,验证了该预测模型的精确度;通过案例验证发现成衣胸围与人体净胸围之间存在-0.42 cm的误差,且在国内女装制作胸围标准误差范围内。
In order to realize the automatic generation of individualized pattern, the distribution rules of ease allowance between human body and garments were analyzed to establish the pattern generation rules. First the undressed standard mannequin was scanned by a 3-D body scanner to obtain the basic point-cloud data of the mannequin, and then seven suits with the same style and different ease allowance were scanned to obtain the point-cloud data of the suits. The distribution rules of the distance ease were demonstrated by adding the data of the suits and mannequin, and the mannequin-suit curves of ten characteristic positions were measured to build the calculative models between the distance ease and the ease allowance to realize the conversion between the ease allowance and the distance ease. The R~2 values of the regression models of the distance ease at all positions are all more than 0.9, verifying the accuracy of the models. Finally, the distance ease was converted into the pattern increments through curve simulation by taking the bust position as an example, and the example shows that the difference between the bust circumference of the garment and the body bust girth is-0.42 cm, which conforms to the standard error of the bust circumference of women′s suits in China.
引文
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