首页> 外文期刊>繊维製品消费科学 >Extraction of the Information on the Support System of Ladies' Wear Selection Using a 3D-Body Shape and Garment Simulations for Adult Women's Garments Part 2: Prediction of 3D-Body Image Types
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Extraction of the Information on the Support System of Ladies' Wear Selection Using a 3D-Body Shape and Garment Simulations for Adult Women's Garments Part 2: Prediction of 3D-Body Image Types

机译:使用3D身体形状和成衣模拟的成衣仿真提取女装选择支持系统的信息,第2部分:3D身体图像类型的预测

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摘要

In this second part of our papers, for a 3D-body shape image information of a garment design selection support system in adult women, the categorized 3D-body shapes by the qualitative image evaluations using the interval scale in the part one is extracted from the size features using the 1D-body measurements of the quantitative ratio scales. The four 3D-body image factors (Overweight figure — Ideal figure within Underweight and Standard figure, Vertical length proportions images, Feminine-Masculine figure images, Shoulder size and shapes images) were able to be predicted using both the interval scale of qualitative 3D-body images and the quantitative ratio scale of the 1D-body measurements by means of the multiple regression analysis. However it was difficult to predict "Feminine-Masculine figure images."
机译:在我们的论文的第二部分中,对于成年女性服装设计选择支持系统的3D身体形状图像信息,使用第一部分中的区间标度通过定性图像评估对3D身体形状进行了分类。尺寸特征使用1D人体测量的定量比例尺。可以使用定性3D-D的间隔尺度来预测四个3D人体图像因子(超重身材-体重不足和标准身材内的理想身材,垂直长度比例图像,女性男性身材图像,肩部尺寸和形状图像)身体图像和一维人体测量的定量比例尺通过多元回归分析。但是,很难预测“女性-男性形象”。

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