System development of a 3-dimensional fashion・factory・boutique (Part III)

3维时装・工厂・精品店的系统开发（第三部分）

• 批准号: 16300231
• 负责人: MASUDA Tomoe
• 金额: $ 8.77万
• 依托单位: Mie University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2004
• 资助国家: 日本
• 起止时间: 2004 至 2005
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-16300231/
• 关键词: Non-tactile 3D body color measurement system; Middle & elder age women; Isomorphic meshes of human body surface; 3D body surface shape; Image of garment design; 3D garment simulation; Reflected ray from the surface of the matter; Spectral emissivit

We tried to obtain information on selling and buying garments for individual body images of middle & elderly ages women's using a 3D body measurement system and research how the women feel about the images of 3D garment simulations. The results were as follows. 1) We have developed a process to generate an isomorphic mesh from a human body surface shape. The vertices of the triangular elements of an isomorphic mesh were determined by geometrical rules. The rules were applied to the hundreds of body surface shapes that had been measured, however we could not generate any meshes. From this trial, defects in the rules were revised and improved. In the consequence, it became possible to generate isomorphic meshes from a human body surface shape that was measured correctly. For 3D body measurement system development, many improvements were implemented in the marker data mesh constructor for more accuracy and easy of operation. We remade the 3D viewer (DspMsh) to support the display and oper … More ation of many meshes at one time, automatically arranging the component construction of the final presentation of the data mesh, isomorphic mesh and curvature representation. The method of expanding the 3D surface to develop the 2D shell paper pattern was also revised from its mathematical model to prevent the degeneration and reversion of the mesh triangles, which sometimes affected the completion of the expanding process. 2) The reflection spectrum calculated from the surface of the matter has been reproduced empirically by multiplying the surface spectral reflectance of the matter and the spectral emissivity of the light source at each wave length. Furthermore the chromaticity was calculated from the simulated reflection spectrum by applying the color matching functions. They corresponded well with the values found. 3) The 3D-body shape images of female models (n=72) were evaluated by other female (n=81). Six 3D body types were extracted using the cluster analysis. A : Slightly-slim & feminine image, B : Y-20's Ideal & Underweight figure image, C : E-70's Small-bust, Stooped back & large stomach figure image, D : Overweight figure image, E : Slightly- overweight & Feminine figure image, F : M- 40's slightly wide, Square shoulder & Masculine figure image. 4) We selected the image key words for making the 3D garment simulations. First, 136 image words were selected from 1075 words found in 136 Japanese ladies fashion books (2000 to 2004. Second). Those 136 words were categorized using five main image key word groups on a questionnaire (n=687, female respondents of 20's - 70's in age). Style 1 ; Lady & Feminine Image, Style 2 ; Sharp & Modern Image, Style 3 ; Casual Image Style, Style 4 ; Standard & Retro (old-fashioned) Image, Style 5 ; Elegant Image Style. 5) The same 20 design garment images and the decision making factors for labeling the design images were simulated on three 3D-body models (B, C, and F type 20's- 70's in age of 3) and each image displayed of the computer screen. Each 3D simulation was evaluated (n=120, female of 20's - 80's in age). The design image factors were categorized using the five main image key word and 38 design image items and 35 lifestyle items for each garment. Style 1: Skirt suit and pink color texture, etc., Style 2 : Black trouser suit of skin-like texture, etc., Style 3 : T-shirts of sky blue cotton-like texture & jeans of dark blue, Style 4 : One-piece dresses of soft textures, Style 5 : Skirt suit of white lace cotton-like texture and Suit dress etc.. Age differences of the evaluators produced few variations in the evaluation of the garment image. Less

我们尝试使用 3D 身体测量系统获取中老年女性个人身体图像的销售和购买信息，并研究女性对 3D 服装模拟图像的感受 1) 我们有以下结果。开发了一种从人体表面形状生成同构网格的过程，同构网格的三角形元素的顶点由确定的几何规则应用于已确定的数百个身体表面形状。但我们无法生成任何网格。通过这次试验，对规则中的缺陷进行了修改和改进，从而可以从正确测量的人体表面形状生成同构网格。在开发过程中，标记数据网格构造器进行了许多改进，以提高准确性和操作简便性，我们重新设计了 3D 查看器 (DspMsh)，以支持同时显示和操作多个网格，自动排列组件。数据网格、同构网格和曲率表示的最终表示的构建还从其数学模型修改了扩展3D表面以开发2D贝壳纸图案的方法，以防止有时会出现的网格三角形的退化和反转。 2) 通过将物质的表面光谱反射率与光源在每个波的光谱发射率相乘，根据经验再现了从物质表面计算出的反射光谱此外，通过应用颜色匹配函数从模拟反射光谱中计算出色度，它们与发现的值很好地对应。 3) 女性模型 (n=72) 的 3D 体形图像由其他女性评估。 (n = 81) 使用聚类分析提取 6 种 3D 体型 A：略显苗条且女性化的图像，B：Y-20 的理想且体重不足的身材图像，C：E-70 的小胸围，驼背和大肚子的身材图像，D：超重的身材图像，E：稍微超重和女性化的身材图像，F：M-40 岁稍宽，方肩和男性化的身材图像 4）我们选择了用于制作图像的关键词。首先，从 136 本日本女士时尚书籍（2000 年至 2004 年）中的 1075 个单词中选出 136 个图像单词。使用问卷中的五个主要图像关键词组对 136 个词进行分类（n=687，年龄为 20 岁至 70 岁的女性受访者）；风格 1；淑女形象；风格 2；时尚形象；风格 3；风格、风格4；标准&复古（老式）形象、优雅形象5）相同的20个设计服装图像和标记设计的决策因素。图像在三个 3D 身体模型（B、C 和 F 型，20 岁至 70 岁，3 岁）上进行模拟，并且对计算机屏幕上显示的每个图像进行评估（n = 120，20 岁至 80 岁的女性）。设计形象因素按每件服装的 5 个主要形象关键词和 38 个设计形象项目和 35 个生活方式项目进行分类。款式2：仿肤质感的黑色裤装等，款式3：天蓝色棉质质感的T恤&深蓝色牛仔裤，款式4：柔软质感的连体连衣裙，款式5：白色蕾丝棉质质地的裙子套装、西装连衣裙等。评价者的年龄差异对服装形象的评价差异较小。