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

我们试图利用3D人体测量系统获取中老年女性个人体像的服装买卖信息，并研究女性对3D服装模拟图像的感受。研究结果如下：1)我们开发了一种从人体表面形状生成同构网格的过程。同构网格的三角形单元的顶点是由几何规则确定的。这些规则被应用于已测量的数百个身体表面形状，但我们无法生成任何网格。从这次审判中，规则中的缺陷得到了修改和改进。结果，从正确测量的人体表面形状生成同构网格成为可能。针对三维人体测量系统的开发，在标记数据网格构造器中进行了许多改进，以提高精度和易操作性。我们重新制作了3D查看器(DspMsh)以支持显示和操作…一次生成多个网格，自动构建构件，最终表示数据网格、同构网格和曲率表示。对三维曲面展开展开二维贝壳纸样的方法进行了数学模型修正，防止了网格三角形的退化和反转，有时会影响展开过程的完成。2)通过将物质表面的光谱反射率与光源在每个波长的光谱发射率相乘，从物质表面计算的反射光谱被经验地再现。此外，通过应用颜色匹配函数，从模拟的反射光谱计算色度。它们与发现的值吻合得很好。3)女性模特(n=72)的三维体型图像由其他女性(n=81)评价。通过聚类分析，提取了6种三维体型。A：略显苗条女性化形象；B：Y-20‘S理想偏轻身材形象；C：E-70’S小半身、驼背大腹形象；D：超重身材形象；E：略超重女性形象；F：M-40‘S略宽、方肩、阳刚身材形象。4)选取图像关键词进行三维服装模拟。首先，从2000年至2004年的136本日本女性时尚书籍中发现的1075个词汇中，选取了136个形象词汇。第二)。将这136个词按5个主要的意象关键词组进行分类，调查对象为20岁的S-70岁的S。风格1；女士和女性形象，风格2；犀利和现代形象，风格3；休闲形象风格，风格4；标准和复古(老式)形象，风格5；优雅形象风格。5)在3个3岁的B型、C型和F型20‘S-70’S三维人体模型上模拟相同的20个设计服装图像和标记设计图像的决策因素，并将每个图像显示在计算机屏幕上。对每个3D模拟进行评估(n=120，女性，20‘S-80’S，年龄)。以五个主要形象关键词、38个设计形象项目和35个生活方式项目对每件服装的设计形象因素进行了分类。款式1：裙装、粉色质地等，款式2：仿皮肤质地的黑色裤装等，款式3：天蓝色棉质的T恤和深蓝色的牛仔裤，款式4：柔软质地的连体连衣裙，款式5：白色蕾丝棉质裙装和套装等。评价者的年龄差异对服装形象的评价几乎没有影响。较少

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