短裤特征截面廓形分析及间隙量预测模型构建

doi:10.13475/j.fzxb.20180608606

纺织学报 ›› 2019, Vol. 40 ›› Issue (05): 113-118.doi: 10.13475/j.fzxb.20180608606

短裤特征截面廓形分析及间隙量预测模型构建

李涛¹, 杜磊¹^,², 孙洁¹, 张益洁¹, 邹奉元¹^,²()

1.浙江理工大学服装学院, 浙江杭州 310018
2.浙江理工大学浙江省服装工程技术研究中心, 浙江杭州 310018

收稿日期:2018-06-29 修回日期:2018-11-21 出版日期:2019-05-15 发布日期:2019-05-21
通讯作者: 邹奉元
作者简介:李涛(1993—),男,博士生。主要研究方向为人体工程与服装数字化技术。
基金资助:
国家自然科学基金面上项目(11671009);“浙江省服装工程技术研究中心”重点实验室开放基金项目(2018FZFK13)

Typical cross section silhouette analysis and interval prediction model construction of shorts

LI Tao¹, DU Lei¹^,², SUN Jie¹, ZHANG Yijie¹, ZOU Fengyuan¹^,²()

1. Fashion College, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China
2. Clothing Engineering Research Center of Zhejiang Province, Zhejiang Sci-Tech University,Hangzhou, Zhejiang 310018, China

Received:2018-06-29 Revised:2018-11-21 Online:2019-05-15 Published:2019-05-21
Contact: ZOU Fengyuan

摘要/Abstract

摘要：

为探究短裤松量变化对截面廓形的影响,选取与裤装造型密切相关的腰围、臀围等特征截面进行研究。通过[TC] ²三维扫描仪获取截面点云数据,利用小脑神经网络进行曲线拟合,提取最小外接矩形面积、厚宽比及间隙量表征截面廓形变化,通过回归分析构建短裤间隙量与松量的预测模型。结果表明:短裤松量与臀围、裆围及裤口围截面厚宽比呈负相关,臀围、裆围处间隙量主要向截面两侧及后中部位累积,截面形状趋于宽扁;经两配对样本T检验,间隙量的预测值与实际测量结果之间无显著差异,间隙量预测模型的拟合优度较好。研究结果可为建立人体、服装截面廓形及三维仿真之间的关系提供参考。

关键词: 短裤, 松量, 廓形, 小脑神经网络, 间隙量

Abstract:

In order to explore the influence of ease allowance on the shorts silhouette, the waist, hip and other typical cross sections which closely related to the shorts shape were selected as the research object. [TC] ² 3-D scanner was adopted to collect point cloud data of typical section, and the curve was fitted by cerebellar model articulation controller (CMAC) neural network. The minimum enclosing rectangle, thickness to width ratio and the interval were used to characterize the cross section silhouette. The prediction model of interval and ease allowance was established by regression analysis. The results show that negative correlation exists between the ease allowances and the thickness to width ratio of the hip, thigh and leg opening. The interval of hip and thigh accumulates mainly on both sides and back middle part, resulting in the shape of the cross section is gradually flattening. Upon two paired samples T examination, no significant difference exists between the predicted values and actual measured results. The interval prediction model has a good fit, which can provide reference for establishing the relationship between human body data, cross section silhouette and 3-D simulation.

Key words: shorts, ease allowance, silhouette, cerebellar model articulation controller neural network, interval

中图分类号:

TS941.17

李涛, 杜磊, 孙洁, 张益洁, 邹奉元. 短裤特征截面廓形分析及间隙量预测模型构建[J]. 纺织学报, 2019, 40(05): 113-118.

LI Tao, DU Lei, SUN Jie, ZHANG Yijie, ZOU Fengyuan. Typical cross section silhouette analysis and interval prediction model construction of shorts[J]. Journal of Textile Research, 2019, 40(05): 113-118.

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样本	裤长	立裆	腰围	臀围	裤口围	腰头
人台			68	90	49
样裤1	36	24.5	70	96	51	3
样裤2	36	24.5	71	98	52	3
样裤3	36	24.5	72	100	53	3
样裤4	36	24.5	73	102	54	3

特征截面	廓形面积与松量		廓形形状与松量
特征截面	Pearson 相关系数	显著性 (双侧)	Pearson 相关系数	显著性 (双侧)
腰围	0.149	0.851	-0.350	0.650
臀围	0.942	0.058	-0.974^*	0.026
裆围	0.978^*	0.022	-0.967^*	0.033
裤口围	0.893	0.107	-0.976^*	0.024

模型	非标准化系数		标准系数	t值	Sig.	B的95.0%置信区间
模型	B	标准误差	试用版	t值	Sig.	下限	上限
常量	24.233	0.274	—	88.286	0.000	23.052	25.414
自变量:松量	0.042	0.030	0.711	1.432	0.289	-0.085	0.170
因变量:厚度
常量	30.172	1.064	—	28.355	0.002	25.593	34.750
自变量:松量	0.507	0.115	0.952	4.412	0.048	0.013	1.000
因变量:宽度

极角/(°)	回归预测方程	R²
-90	y=-0.239x²+4.183x+0.785	0.976
-70	y=0.008x³-0.049x²+6.800	0.912
-30	y=0.255x²-3.48x+15.234	0.915
0	y=0.032x³-4.989x+36.468	0.957
20	y=0.008x³-0.016x²+4.578	0.991
50	y=0.409x²-6.538x+30.977	0.995
80	y=0.104x²-2.769x+18.438	1.000

配对样本	极角/ (°)	成分差分			Sig. (双侧)
配对样本	极角/ (°)	均值	标准差	标准误	Sig. (双侧)
预测值- 实际值	-90	0.038	0.180	0.09	0.703
	-70	-0.218	1.002	0.501	0.693
	-30	-0.033	0.9498	0.4749	0.949
	0	0.3283	1.84	0.9201	0.745
	20	-0.241	0.4938	0.2469	0.399
	50	-0.043	0.2059	0.103	0.701
	80	-0.005	0.0035	0.017	0.062

短裤特征截面廓形分析及间隙量预测模型构建

Typical cross section silhouette analysis and interval prediction model construction of shorts

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