纺织学报 ›› 2016, Vol. 37 ›› Issue (10): 101-106.

• 服装工程 • 上一篇    下一篇

青年女性乳房表面积预测模型

  

  • 收稿日期:2015-09-07 修回日期:2016-05-18 出版日期:2016-10-15 发布日期:2016-10-31

Predicting model of young women’s breast surface area

  • Received:2015-09-07 Revised:2016-05-18 Online:2016-10-15 Published:2016-10-31

摘要:

为建立乳房表面积与文胸制版参数间的量化关系,实验选取在校未孕女青年进行三维人体扫描,利用逆向工程技术定义乳房特征点并提取乳房边界曲线,根据特征点建立乳房局部坐标系,由局部坐标系的横截面与矢状面将乳房表面分割为上内、上外、下内、下外 4 个区块,并用逆向工程软件分别测量表面积;选取与文胸制版相结合的人体尺寸,利用逐步偏最小二乘回归法,建立各区块乳房表面积与人体尺寸参数间的回归模型。经检验,各区块乳房表面积的原始值与模型预测值间无显著差异,模型均具有理想的预测效果,可为乳房形态分析及文胸个性化定制提供有效的乳房表面积预测方法。

关键词: 乳房, 逆向工程, 人体尺寸, 偏最小二乘回归, 逐步回归

Abstract:

In order to establishing quantitative relationship between breast surface area and bra pattern-making parameters, young non-pregnant female students were scanned by 3-D body scanner, and breast feature points and boundary line were defined and extracted by reverse engineering software, then local breast coordinate system was built based on the feature points. According to the horizontal and segittal plan of local coordinate system, breast surface was divided into 4 parts as upper-inside, upper-outside, lower-inside and lower outside, and surface area of each part was measured. Body measurements related to bra pattern making were selected, regression models between body measurements and surface area of each part were established by the use of stepwise partial least squares regression method. Upon examination, no significant difference exists between the original values and forecastiong values of each breast surface area, and all the models have high precision, and can provide efficient breast surface area predicting method for breast shape analysis and bra personalized customization.

Key words: breast, reverse engineering, body measurement, partial least squares regression, stepwise regression

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