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 R2 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.
作者
顾冰菲
闫彦红
苏军强
刘国联
GU Bingfei;YAN Yanhong;SU Junqiang;LIU Guolian(Fashion College,Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China;Clothing Engineering ResearchCenter of Zhejiang Province,Zhejiang Sci-Tech University,Hangzhou,Zhejiang 310018,China;Key Laboratoryof Silk Culture Heritage and Products Design Digital Technology,Ministry of Culture Tourism,Hangzhou,Zhejiang310018,China;School of Textile and Clothing,Jiangnan University,Wuxi,Jiangsu 214122,China;Collegeand Textile and Clothing Engineering,Soochow University,Suzhou,Jiangsu 215006,China)
出处
《纺织学报》
EI
CAS
CSCD
北大核心
2019年第5期107-112,共6页
Journal of Textile Research
基金
国家自然科学基金项目(61702461
61702460)
浙江理工大学纺织科学与工程一流学科优秀博士专项项目(2017YBZX14)
浙江理工大学科研启动基金项目(16072195-Y)
浙江省服装工程技术研究中心开放基金项目(2018FZKF08)
浙江理工大学2018年度高等教育科学研究课题资助项目(Xgz1805)
关键词
人体测量
点云数据
距离松量
样板增量
body measurement
point-cloud data
distance ease
pattern increment
