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

我们试图获得信息销售和购买服装的个人身体形象的中老年妇女的使用三维身体测量系统和研究如何妇女感觉的图像的三维服装模拟。结果如下。1)我们已经开发了一个过程来生成一个同构网格从人体表面形状。同构网格的三角形单元的顶点由几何规则确定。这些规则被应用于已经测量的数百个身体表面形状，但是我们无法生成任何网格。从这次审判开始，规则中的缺陷得到了修改和完善。结果，可以从正确测量的人体表面形状生成同构网格。针对三维人体测量系统的开发，对标记数据网格构造器进行了改进，提高了测量精度和操作方便性。我们重新制作了3D查看器（DspMsh），以支持显示和操作 ...更多信息 一次处理多个网格，自动安排数据网格最终表示的组件结构，同构网格和曲率表示。从数学模型出发，对三维曲面展开生成二维贝壳纸样的方法进行了修正，以防止网格三角形退化和反转，从而影响展开过程的完成。2)通过将物质的表面光谱反射率与光源在每个波长处的光谱发射率相乘，根据经验再现了从物质表面计算的反射光谱。此外，通过应用颜色匹配函数从模拟反射光谱计算色度。3）对72名女性模特的三维体型图像进行了81名女性模特的评价。使用聚类分析提取了六种三维体型。答：略苗条和女性化形象，B：Y-20的理想和体重不足的形象，C：E-70的小胸围，驼背和大肚子的形象，D：超重的形象，E：略超重和女性化形象，F：M- 40的略宽，方肩和男性化形象。4)我们选择了图像关键词来制作3D服装模拟。首先，从136本日本女性时尚书籍（2000年至2004年）中的1075个词中选出136个图像词。第二）。这136个词被归类为五个主要的图像关键字组的问卷调查（n=687，女性受访者的20 - 70的年龄）。风格1 ;淑女与女性形象，风格2 ;锐利与现代形象，风格3 ;休闲形象风格，风格4 ;标准与复古（老式）形象，风格5 ;优雅形象风格。5)同样的20个设计服装图像和用于标记设计图像的决策因素在三个3D身体模型（3岁的20 - 70岁的B、C和F型）上进行模拟，并且每个图像显示在计算机屏幕上。对每个3D模拟进行评价（n=120，年龄为20 - 80岁的女性）。设计形象的因素进行了分类，使用5个主要的形象关键字和38个设计形象项目和35个生活方式项目的每件服装。风格一：裙装套装和粉色质感等，风格二：仿肤质感黑色裤装等，样式三：天蓝色仿棉T恤、深蓝色牛仔裤，款式4：柔软质地的连体连衣裙，款式5：白色仿棉蕾丝裙套装、套装等。年龄差异的评估产生的变化不大的服装形象的评价。少