首页> 外文期刊>成人女子の3次元の体形とデザインのイメージ評価を用いた婦人服選択支援情報の抽出(その3): デザイン評価用イメージ用語の抽出と3次元人体モデルの着装シミュレーションによる衣服デザインの評価 >Extraction Of Ladies' Wear Selection Support Information Using A 3d-body And Garment Simulations For Adult Women's Garments (part 3): Features Of Design Image Key Words And Its 3d-garment Designs
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Extraction Of Ladies' Wear Selection Support Information Using A 3d-body And Garment Simulations For Adult Women's Garments (part 3): Features Of Design Image Key Words And Its 3d-garment Designs

机译:使用成年女性服装的3d体和服装模拟提取女士的服装选择支持信息(第3部分):设计图像关键字的特征及其3d服装设计

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In this third part of our papers, for the information of a garment design selection support system in adult women except students, the five design image key words and the two principal components of 3D-garment design images using the rotating 3D-garment simulation on three generations of 3D-body models were extracted by means of questionnaires.rnThe 136 words selected from 1075 words describing the design images of the garments were classified by 457 females in their late 20's to 70's (means = 45.77 years old) using Cluster Analysis. The selected five key words for design images were: Al. Lady & Feminine, A2. Sharp & Modern, A3. Casual, A4. Standard & Retro, and A5. Elegant images.rnThe twenty 3D-garments of three different 3D-body shape models were built as a simulation for the evaluation of design images. The design images using these five key words and the appearance for the twenty 3D-garments of three models, impression, clothing life, and other items were evaluated by 127 females, in their 20's to 70's (means = 45.88 years old), mainly using a five point scale. The evaluations of the main items for the clothing life, etc. among the three generations and the 3D-garment design images among the three 3D-body models did not have significantly different values. The sixty 3D-garment design images (20 designs×3 models) were calculated by using the Principal Component (PC) Analysis. The principal components PC1 to PC2 were extracted: PC1; Al and A5 -A3 Image Styles, PC2;A4 - A2 Image Styles.
机译:在我们的论文的第三部分中,为获得针对除学生以外的成年女性的服装设计选择支持系统的信息,使用三个旋转3D服装模拟对五个设计图像关键词和3D服装设计图像的两个主要组成部分通过问卷调查的方式提取了几代人的3D人体模型。使用聚类分析,从457位20岁至70岁(平均年龄45.77岁)的女性中,从描述服装设计图像的1075个单词中选择了136个单词。设计图像选择的五个关键词是:Al。女士和女性,A2。夏普与现代(A3)。休闲,A4。标准和复古以及A5。精美的图像。构建了三个不同3D身体形状模型的二十个3D服装,作为模拟来评估设计图像。使用这五个关键词和三个模型的二十个3D服装的外观,印象,衣着寿命和其他项目的设计图像由127位女性(在20至70年代(平均年龄为45.88岁))评估,五分制。三个世代之间对服装寿命等主要项目的评估以及三个3D人体模型之间的3D服装设计图像没有显着不同的值。使用主成分(PC)分析计算出60个3D服装设计图像(20个设计×3个模型)。提取了主要成分PC1至PC2:PC1; Al和A5 -A3图像样式,PC2; A4-A2图像样式。

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