基于青年女性下肢形态分类的特征部位围度拟合

doi:10.19398/j.att.202012018

摘要/Abstract

摘要：

为实现个性化裤装样板自动生成,探讨了青年女性下肢体型的分类方法及腰部、腹部、臀部、大腿根部和膝部5个人体特征部位的围度预测模型建立。主要通过美国[TC]²三维人体扫描仪获取202名在校女大学生的人体点云数据,测量各特征部位的围度、宽度和厚度等相关形态参数。然后进行体型分类,提出VD_wh值(表征腰臀相对凸出量)、D_bw值(表征后腰的凹陷程度)、HD_h_t值(表征站姿)、A_tk值(表征腿型)4个形态指标,将青年女性下肢形态分为圆长型、圆润型、扁长型三类。基于体型分类结果,选择圆润体,对该体型下5个特征部位的宽度、厚度以及围度进行相关分析并建立特征部位围度的回归方程,并以手工数据进行验证分析。结果表明:除大腿根部最大误差值为1.98cm外,分类后预测的其他特征部位围度值与手工数据的误差绝对值均在1.5cm范围内,说明本围度预测方法具有较高的准确性,对基于照片的青年女体个性化裤装样板自动生成提供了一定的技术支撑。

关键词: 人体测量, 形态分类, 围度预测, 回归分析

Abstract:

In order to achieve the automatic generation of personalized pant templates, this study discussed the classification method of morphologies of young women's lower limbs and set up a circumference prediction model at five characteristic parts of human body, that is, the waist, abdomen, hip, thigh and knee. The point cloud data of 202 female college students were obtained by the U.S. [TC]² 3D human body scanner, and relevant morphological parameters, i.e., circumference, width and thickness of each characteristic part were measured. Then the morphologies were divided into three types: oblong, round, and prolate, and four morphological indicators were proposed: VD_wh(representing the relative protrusion of waist and hip), D_bw(representing the depression degree in the lower waist), HD_h_t(representing the standing posture), and A_tk(representing the leg type). Based on the classification results of morphologies, the morphology of "round" was selected to analyze the width, thickness and circumference of five characteristic parts under this morphology and a regression equation of the circumferences at the characteristic parts were established. The calculation models were verified through a comparison with the manual data. The results show that except that the maximum error at the thigh is 1.98cm, the absolute values of the errors between the predicted circumference values of characteristic parts and manual data are all within the range of 1.5cm, which shows that this circumference prediction method has high accuracy. The present study provides some technical support for the automatic generation of personalized pant templates for young women based on photos.

Key words: anthropometry, morphological classification, circumference prediction, regression analysis

中图分类号:

TS941.17

徐凯忆, 钟泽君, 蔡晓裕, 顾冰菲. 基于青年女性下肢形态分类的特征部位围度拟合[J]. 现代纺织技术, 2022, 30(1): 204-211.

XU Kaiyi, ZHONG Zejun, CAI Xiaoyu, GU Bingfei. Circumference fit of characteristicparts based on the morphological classification of young women’s Lower limbs[J]. Advanced Textile Technology, 2022, 30(1): 204-211.

图/表 17

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项目	最大值	最小值	平均值	标准差	偏度	峰度	K-S检验
身高/cm	170.00	150.00	160.16	4.80	0.113	-0.794	-
体重/kg	67.00	40.00	50.96	5.62	0.629	0.382	-
腰围/cm	100.60	56.47	67.73	5.40	1.362	6.080	0.200^*
腹围/cm	102.45	68.20	81.76	5.76	0.195	0.475	0.200^*
臀围/cm	103.06	78.10	90.64	4.47	0.171	0.205	0.200^*
大腿根围/cm	65.63	40.99	53.03	4.64	0.148	-0.199	0.200^*
膝围/cm	44.30	28.44	36.05	2.80	0.642	0.714	0.200^*

项目	最大值	最小值	平均值	标准差	偏度	峰度	K-S检验
身高/cm	170.00	150.00	160.16	4.80	0.113	-0.794	-
体重/kg	67.00	40.00	50.96	5.62	0.629	0.382	-
腰围/cm	100.60	56.47	67.73	5.40	1.362	6.080	0.200^*
腹围/cm	102.45	68.20	81.76	5.76	0.195	0.475	0.200^*
臀围/cm	103.06	78.10	90.64	4.47	0.171	0.205	0.200^*
大腿根围/cm	65.63	40.99	53.03	4.64	0.148	-0.199	0.200^*
膝围/cm	44.30	28.44	36.05	2.80	0.642	0.714	0.200^*

特征围度	3类		4类
特征围度	F	Sig.	F	Sig.
腰宽厚比	156.699	0.000	110.746	0.000
腹宽厚比	263.955	0.000	199.856	0.000
臀宽厚比	259.280	0.000	232.303	0.000
大腿根宽厚比	141.360	0.000	101.237	0.000
膝宽厚比	83.298	0.000	64.652	0.000

特征围度	3类		4类
特征围度	F	Sig.	F	Sig.
腰宽厚比	156.699	0.000	110.746	0.000
腹宽厚比	263.955	0.000	199.856	0.000
臀宽厚比	259.280	0.000	232.303	0.000
大腿根宽厚比	141.360	0.000	101.237	0.000
膝宽厚比	83.298	0.000	64.652	0.000

聚类变量	F	Sig.
腰宽厚比	156.699	0.000
腹宽厚比	263.955	0.000
臀宽厚比	259.280	0.000
大腿根宽厚比	141.360	0.000
膝宽厚比	83.298	0.000