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非接触式测量获取背部图形的拟合及其验证 被引量:6

Fitting and verifying of males' back graphics measured by non-contact scanner
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摘要 为确定非接触式人体测量获取图形的准确性,采用170/88A号型青年男性的背部曲线为研究对象,对获取的图形进行函数拟合和准确性验证。参考服用尺寸手工测量方法绘制其圆顺曲线,再通过多项式函数对曲线进行拟合,其中三次多项式函数的拟合优度达到0.995 62,考虑到表达式的简洁性,将其确定为标准参考曲线。经相关性验证后确定人体背部曲线与背长、胸厚具有相关性;将拟合函数转化为参数函数,利用三者之间的函数关系,按照比例进行缩放,从而通过背长和胸厚推算出背部曲线长度,再与拟合曲线的长度进行对比。实验结果表明,采用该方法拟合的背部曲线长度误差小于1 cm,远低于服装号型中人体背长的档差,能够满足服用人体测量的需求。 In order to verify the accuracy of the graphics measured by a non-contact scanner,the backcurves of adult males in the group of 170/88 A were studied,then the function fitting and the accuracy verification was performed based on the manual measurement,the circumscribed circle along its curve was drawn.The back-curves were fitted by a polynomial function,and the R-squared of the cubic polynomial function is 0.995 62.Considering the concision,the cubic polynomial function is determined to be the standard reference curve.The correlation verification shows that the back-curve length,back length and chest depth are related,the fitting function is converted into a parameter function,and based on the functional relationship among them,zooming was performed according to the proportional relationship,and further the back-curve length was calculated from the back length and chest depth of a sample in the same group,and compared with the length of the fitted curve.This experiment results show that the error of the back-curve function fitted is smaller than 1 cm,which is far smaller than the class difference for clothes,and the accuracy is enough to satisfy the requirement to the non-contact human body measurement for clothes.
作者 吴尚 齐琳 周双喜 尚笑梅 WU Shang;QI Lin;ZHOU Shuangxi;SHANG Xiaomei(College of Textile and Clothing Engineering, Soochow University, Suzhou, Jiangsu 215006, China;Shanghai Textile Group Testing Standard Co., Ltd., Shanghai 200336, China)
出处 《纺织学报》 EI CAS CSCD 北大核心 2018年第4期111-115,共5页 Journal of Textile Research
基金 国家重点研发计划项目(2016YFF0202600)
关键词 非接触式人体测量 背部曲线 三次多项式拟合 相关性验证 non-contact human body measurement back curve cubic polynomial fitting correlation verification
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