• Title/Summary/Keyword: clothes image

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Cody Recommendation System Using Deep Learning and User Preferences

  • Kwak, Naejoung;Kim, Doyun;kim, Minho;kim, Jongseo;Myung, Sangha;Yoon, Youngbin;Choi, Jihye
    • International Journal of Advanced Culture Technology
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    • v.7 no.4
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    • pp.321-326
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    • 2019
  • As AI technology is recently introduced into various fields, it is being applied to the fashion field. This paper proposes a system for recommending cody clothes suitable for a user's selected clothes. The proposed system consists of user app, cody recommendation module, and server interworking of each module and managing database data. Cody recommendation system classifies clothing images into 80 categories composed of feature combinations, selects multiple representative reference images for each category, and selects 3 full body cordy images for each representative reference image. Cody images of the representative reference image were determined by analyzing the user's preference using Google survey app. The proposed algorithm classifies categories the clothing image selected by the user into a category, recognizes the most similar image among the classification category reference images, and transmits the linked cody images to the user's app. The proposed system uses the ResNet-50 model to categorize the input image and measures similarity using ORB and HOG features to select a reference image in the category. We test the proposed algorithm in the Android app, and the result shows that the recommended system runs well.

Augmented Reality Haptic Upper Garment for Wear Sensation (착용감 구현을 위한 증강현실용 햅틱 상의(上衣))

  • Yim, Eunhyuk;Kwon, Jeanne;Lee, Sooyong
    • The Journal of Korea Robotics Society
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    • v.14 no.2
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    • pp.150-156
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    • 2019
  • Haptic systems have been widely used for both virtual reality and augmented reality application including game, entertainment, education and medical sectors. Clothing designers and retailers initiated using AR and VR technologies to help the consumers find style with the perfect fit. Most of the developed augmented reality shopping is implemented by overlapping the image of the clothes on the customer so that he/she can find the fit. However, those are only visual information and the customer cannot experience the real size and the stiffness of the clothes. In this paper, we present the haptic upper garment which provides the haptic feedback to the user using cables. By controlling the length of the cable, the size of the clothes is set and by stiffness control, the compliance of the fabric is implemented. The haptic garment is modeled for precise control and the distributed controller architecture is described. With the haptic upper garment, the user's experience of the virtual clothes is greatly enhanced.

Virtual Fitting System Using Deep Learning Methodology: HR-VITON Based on Weight Sharing, Mixed Precison & Gradient Accumulation (딥러닝 의류 가상 합성 모델 연구: 가중치 공유 & 학습 최적화 기반 HR-VITON 기법 활용)

  • Lee, Hyun Sang;Oh, Se Hwan;Ha, Sung Ho
    • The Journal of Information Systems
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    • v.31 no.4
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    • pp.145-160
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    • 2022
  • Purpose The purpose of this study is to develop a virtual try-on deep learning model that can efficiently learn front and back clothes images. It is expected that the application of virtual try-on clothing service in the fashion and textile industry field will be vitalization. Design/methodology/approach The data used in this study used 232,355 clothes and product images. The image data input to the model is divided into 5 categories: original clothing image and wearer image, clothing segmentation, wearer's body Densepose heatmap, wearer's clothing-agnosting. We advanced the HR-VITON model in the way of Mixed-Precison, Gradient Accumulation, and sharing model weights. Findings As a result of this study, we demonstrated that the weight-shared MP-GA HR-VITON model can efficiently learn front and back fashion images. As a result, this proposed model quantitatively improves the quality of the generated image compared to the existing technique, and natural fitting is possible in both front and back images. SSIM was 0.8385 and 0.9204 in CP-VTON and the proposed model, LPIPS 0.2133 and 0.0642, FID 74.5421 and 11.8463, and KID 0.064 and 0.006. Using the deep learning model of this study, it is possible to naturally fit one color clothes, but when there are complex pictures and logos as shown in <Figure 6>, an unnatural pattern occurred in the generated image. If it is advanced based on the transformer, this problem may also be improved.

A Study on Developing the Modern Fashion Design with the Application of Plasticity of Patchwork Wrapping Cloth (조각보의 조형성을 응용한 현대복식디자인 개발에 관한 연구)

  • Kim Jeong-Mee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.4 s.152
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    • pp.507-518
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    • 2006
  • This study aims to prove that traditional patchwork wrapping cloth can be a creative motive for modem fashion, and the application of it can be a way of expressing not only the pride in our cultural heritage but also the originality of fashion design. The analysis of the plasticity of 108 patchwork wrapping clothes has come up with the following findings: Firstly, the plane structure consists of 41 basic forms and 67 applied ones. Secondly, 61 contrast color harmony and 47 similarity color harmony. Thirdly, the fabric consists of 88 silk clothes, 19 ramie clothes, and 1 silk and ramie cloth. Fourthly, 47 unlined clothes and 61 lined ones. The study also expresses the analyzed plasticity of patchwork wrapping cloth for fashion with the following findings: Firstly, basic plane structures, contrast color harmony, silk cloth and the press flower coating technique become one piece dress to express splendid and elegant image. Secondly, application plane structures, similarity color harmony of natural dyeing method using persimmon, ramie cloth and the press flower coating and over lock technique become a jacket and a blouse to express calm and dynamic image. Thirdly, the needling and over lock technique used to patch clothes has become a desirable way to express fabric with unique surface effects. Fourthly, the press flower coating which modernizes embroidery in patchwork wrapping. cloth has become a new technique which can create high values with its extended the visual effects of the material. Fifthly, Patchwork wrapping cloth in Chosun Dynasty has now become a motive for modem fashion design to express tradition and creation.

Analysis Characteristics of Interviewee Custume Design in Job Interviewee Image-Making - focused on custume of pre-employed women- (취업 면접 이미지메이킹에 나타난 면접 의상 디자인의 특징 분석 - 일반 사무직 예비 취업 여성 의상을 중심으로 -)

  • Lee, Un-Young;Lee, In-Seong
    • Fashion & Textile Research Journal
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    • v.12 no.3
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    • pp.265-271
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    • 2010
  • This study aims at academically organizing fashion coordination methods for interview image-making, which have been attempted through seminars in companies and universities, through empirical studies including previous studies and surveys conducted by groups of experts. The methods of this study include theoretical considerations through literature and empirical considerations such as one-to-one interviews and surveys of groups of experts in the areas of fashion and interview. Through these methods, this study examined elements of image-making characteristics of fashion for an interview, which are required for an interview, by investigating and analyzing interview image-making. As a result of the examination, the characteristics of proper clothes for an interview are as follows; Items of clothes: tailored, tuxedo, Chanel, Eton, blazer jackets, button-down and dress shirts, shirt waist, bow, Gibson blouses, tight, A-line, gored, pleats, flared skirts and straight, boot-cut and ankle pants. Color: achromatic colors including white, gray, black, navy, pink and yellow. Patterns: solid, stripe, and basket check.

A Study on the Tendency of Gorgeous Image in Modern Fashion Design (현대 패선 디자인에 나타난 고저스 이미지 경향에 관한 연구)

  • Lee Un-Young;Lee In-Seong
    • Journal of the Korean Home Economics Association
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    • v.42 no.10 s.200
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    • pp.115-128
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    • 2004
  • Social structure has diversified, and changed into the form of pluralism since entering the 21st century. Specially, entering in the 21st century modem fashion is expressed to the luxurious feminism which expresses sensual, strong, and decorative elegant based on the womanly beauty. The gorgeous image is a splendid and luxurious image. Also it is the fashion image which is expressed strongly by the decorative detail elements among the design components. Then, it appears often in modem fashion as the pursuit image of modem persons. Therefore, the purpose of this study was not only to analyze the meaning providence and the diagnostic elements about the gorgeous image that appears often in modem fashion, but also to help the various fashion image representations by arranging the presenting principle and the method of fashion image systematically setting in the trend toward modem fashion. The method of this study was a theoretical research of the literature materials concerned with fashion images by the clothes. Also, the questionnaires were completed by selected specialists as investigation subjects who were variously engaged in the fashion-related fields in order to research the gorgeous image. In the above results. the gorgeous image's diagnostic constituent was grasped laying stress on the characteristic of the clothes. Then, the whole concept named Luxury Imagination was chosen, and 4 suits of the gorgeous image were produced by these results In the diversified and personalized modem fashion with he above results the flowing of the gorgeous image is the part able to be expressed exactly in the view of the image pursued by the public.

3D Clothes Modeling of Virtual Human for Metaverse (메타버스를 위한 가상 휴먼의 3차원 의상 모델링)

  • Kim, Hyun Woo;Kim, Dong Eon;Kim, Yujin;Park, In Kyu
    • Journal of Broadcast Engineering
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    • v.27 no.5
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    • pp.638-653
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    • 2022
  • In this paper, we propose the new method of creating 3D virtual-human reflecting the pattern of clothes worn by the person in the high-resolution whole body front image and the body shape data about the person. To get the pattern of clothes, we proceed Instance Segmentation and clothes parsing using Cascade Mask R-CNN. After, we use Pix2Pix to blur the boundaries and estimate the background color and can get UV-Map of 3D clothes mesh proceeding UV-Map base warping. Also, we get the body shape data using SMPL-X and deform the original clothes and body mesh. With UV-Map of clothes and deformed clothes and body mesh, user finally can see the animation of 3D virtual-human reflecting user's appearance by rendering with the state-of-the game engine, i.e. Unreal Engine.

A Study on Design of Family Look Style T-Shirts -Focused on Traditional Patchwork Wrapping-Clothes and Natural Dying Techniques- (패밀리룩 T-Shirts 디자인에 관한 연구 -조각보와 천연염색을 중심으로-)

  • Kong Mi-Ran
    • Journal of the Korean Society of Costume
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    • v.56 no.4 s.103
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    • pp.134-147
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    • 2006
  • As modern society set in, lifestyle has been changing largely; leisure activity has been expanded and family activity became important. Changes in the lifestyle caused big changes even in fashion industry. Instead of suits, coordination using clothes easy to wear was extended and the need of family look was also raised. Despite the need and marketability of family look, however, family look style clothes depend on the manufacture by orders on the Internet and few brands have been developed unlike the activation of family restaurants or family fast-food restaurants. Thus, this study examined design of family look style T-shirts applying Korean image as one of measures to activate fashion brands of family look. This study purposed to find out self-conceit and identification of our culture by recreating family look as cultural tourism products applying Korean traditional patchwork wrapping-clothes and natural dying techniques and to globalize the products as high value-added ones containing differentiated Korea-style originality. In particular, as Interest in natural dying has been raised because of serious environmental problems and extension of wellbeing culture, products applying natural dying have been developed actively. At this point of time, the development of family look style T-shirts applying natural dying will contribute largely to planning globalization of our brands by developing products with more polished and globalized design.

Improvement of ECG Measurement for the Elderly's U-healthcare Clothing Using 3D Tight-fit Pattern (3D패턴을 이용한 노인용 u-헬스케어 의복의 심전도 측정 연구)

  • Park, Hye-Jun;Shin, Seung-Chul;Shon, Boo-Hyun;Hong, Kyung-Hi
    • Fashion & Textile Research Journal
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    • v.10 no.5
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    • pp.676-682
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    • 2008
  • In this study a guideline of the 3D-fit pattern for the ECG(electrocardiogram) measurement of elderly's u-healthcare clothes was proposed. In the screening test of the ECG measurement band, ECG peak band was observable at the band pressure of 0.20 kPa. By employing a 3D body image, tight-fit 3D patterns were made at two different reduction rates of 21%(pattern 1) and 33%(pattern 2), and corresponding pressure of both of the clothes were 0.25 kPa and 0.54 kPa, respectively. Typical waves of ECG were found in both stationary and moving position. In terms of the subjective evaluation of the u-healthcare clothes when worn, it was confirmed that reduction pattern 1(0.25 kPa) conveyed comfortable clothing pressure and pleasantness, which is very close to the result of screening test of ECG band experiment. As results, it is recommended that reduction rate should be adjusted, so that clothing pressure is about 0.2 kPa for the elderly's comfortable and efficient u-healthcare clothes.

An Empirical Study of the Store Image and Switching Barrier on Store Loyalty (할인점 의류매장 점포충성도에 대한 점포이미지와 전화장벽의 영향력에 관한 연구)

  • Lee, Ok-Hee;Kim, Ji-Soo
    • Fashion & Textile Research Journal
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    • v.9 no.4
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    • pp.409-417
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    • 2007
  • The goal of this study was to investigate the impacts of customer satisfaction, store image, and switching barrier on store loyalty of the clothes shops at a large-scale discount store. The subjects were 357 female adults living in Suncheon City, Jeollanam Province. The questionnaires were conveniently sampled from June 1 to 30, 2006. The collected data were factor and reliability analyzed using the SPS program. And LISREL was used to test and evaluate the relationships between the constructs through confirmatory factor analysis and covariance structure analysis. Among the six hypotheses set in the research model, total four were selected through empirical analysis and the rest two were rejected. The analysis results were useful in making a conceptual model that could keep the simplicity about store loyalty and had increased explanatory power. Thus it turned out the deciding factors of store loyalty for the clothes shop at a discount store were customer satisfaction and switching barrier rather than store image. Customer satisfaction had the biggest influences on store loyalty among the expected variables. Considering the direct impacts of switching barrier on store loyalty, it's important to work on switching barrier along with customer satisfaction in order to maintain the customers' store loyalty. The efforts to identify the various factors of store loyalty in addition to switching barrier, customer satisfaction, and store image will lead to such marketing strategies as can vitalize the clothes shops at a large discount store.