• Journal of the Korean Society of Clothing and Textiles
• /
• v.46 no.2
• /
• pp.321-330
• /
• 2022

This study analyzed the difference between 2D image and 3D virtual clothing images based on stripe arrangement to obtain fundamental data for slim appearance. First, the slimming effect according to the three types of stripe ratio was examined. Subsequently, the slimming effects of seven types of one-piece dress designs according to the stripe location were analyzed. Subjective ranking was evaluated. The width items and radius of curvature were measured for the image's respective parts. Consequently, in 2D image and 3D virtual clothing images, the one with the narrowest stripe ratio was evaluated as the slimmest; however, the conditions for the slimming effect were different. In the seven one-piece dress designs, a difference was apparent in the ranking of the 2D image and 3D virtual clothing images. In the 3D virtual clothing image, arranging the stripes on the entire garment proved inefficient. The stripes were curved according to the curvature of the human body, creating an optical illusion that differed from that of the 2D image.

• The Journal of the Convergence on Culture Technology
• /
• v.4 no.3
• /
• pp.191-196
• /
• 2018

The purpose of this study is to propose improvements for 3D garment simulation system by comparison with the difference between real garment and 3D garment simulation A, B of women's jacket. The process of the study was to take pictures on the standard sized subject wearing the jacket of basic size, to get a avatar from body sizes of the subject, and to obtain images of 3D garment simulation on the avatar. The appearance evaluation was resulted by the method of a questionnaire survey after presenting the images to 20 members of women's jacket customer. On that appearance evaluation, performed comparative analysis of same degree between the real garment and the Virtual garment A in women's jacket. And performed comparative analysis of same degree between the real garment and the Virtual garment B in women's jacket. It was done t-test for difference in appearance evaluation between real garment/virtual garment A and Real garment/virtual garment B. There were the differences on 4 areas: 1 question on the fabric, 9 questions on the front, 3 questions on the side, and 6 questions on the back.

• Science of Emotion and Sensibility
• /
• v.14 no.3
• /
• pp.385-394
• /
• 2011

The purpose of this research is to compare and analyze visual images between the Real garment and the 3D garment simulation with the various fabrics of flare skirts and to analyze the correlation between mechanical properties and visual images. The picture images (printed on paper) of the Real garment and the 3D garment simulation of experimental flare skirts were shown to the evaluation group of women in their 20s majoring in clothing and textiles, and were evaluated by questionnaires with 32 adjectives. SPSS Version 12.0 statistics program was utilized to analyze data. Factor analysis, One Way ANOVA, T-test and Duncan test were used to investigate visual effect of the Real garment and the 3D garment simulation. As the result of conducting factor analysis on the visual appearance, the images were driven with five factors: 'drapeability', 'attractive', 'body compensation', 'bulkiness', 'activeness'. Visual images were significantly related with mechanical properties of various fabrics, and the visual images between 3D garment simulations and real garment differed with various fabrics and their mechanical properties. Visual images of silk and polyester group, cotton, linen and wool group were significantly related with weight and thickness of kinds of fabrics.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.14 no.2
• /
• pp.101-111
• /
• 2012

The purpose of this study is to evaluate the differences of visual image on variations in the length and princess line, in a silhouette of a one-piece dress with the application of the 3D Virtual Clothing System known as i-designer. Eight sample were examined: 2 variations of the length and 2 variations of the princess line, 2 variations of the form of a silhouette. The data was obtained from 66 fashion design majors. The data was assessed by a t-test and a multi-way ANOVA and factor analysis. The results were as follows; The visual image according to the design variables, four factors were selected; the attractiveness factor, the activeness factor, the practicality factor, the elegance factor. In these factors, the attractiveness factor is estimated by the most important factor. As a result of analyzing the effect of the interaction in the visual image according to the design variables, the influence of the main effect was found to be great in each factor. In the activeness factor, a significant difference was noted in the two-way interaction between the length and the princess line, the length and the silhouette. In the elegance factor, a significant difference was noted in the two-way interaction between the length and the silhouette. However, the influence on three-way interaction among the length, the princess line, and the silhouette was not significant.

• Archives of design research
• /
• v.18 no.3 s.61
• /
• pp.85-94
• /
• 2005

Most of product designers use 3D CAD system as a inevitable design tool nowadays and many new products are developed through a concurrent engineering process. However, it is very difficult for novice designers to get the sense of reality from modeling objects shown in the computer screens. Such a intangibility problem comes from the lack of haptic interactions and contextual information about the real space because designers tend to do 3D modeling works only in a virtual space of 3D CAD system. To address this problem, this research investigate the possibility of a interactive quantified structure simulation for product design using AR(augmented reality) which can register a 3D CAD modeling object on the real space. We built a quantified structure simulation system based on AR and conducted a series of experiments to measure how accurately human perceive and adjust the size of virtual objects under varied experimental conditions in the AR environment. The experiment participants adjusted a virtual cube to a reference real cube within 1.3% relative error(5.3% relative StDev). The results gave the strong evidence that the participants can perceive the size of a virtual object very accurately. Furthermore, we found that it is easier to perceive the size of a virtual object in the condition of presenting plenty of real reference objects than few reference objects, and using LCD panel than HMD. We tried to apply the simulation system to identify preference characteristics for the appearance design of a home-service robot as a case study which explores the potential application of the system. There were significant variances in participants' preferred characteristics about robot appearance and that was supposed to come from the lack of typicality of robot image. Then, several characteristic groups were segmented by duster analysis. On the other hand, it was interesting finding that participants have significantly different preference characteristics between robot with arm and armless robot and there was a very strong correlation between the height of robot and arm length as a human body.