An interactive clothing design and personalized virtual display system

Zhu, Xiaoyan; Lu, Haiqing; Rätsch, Matthias

doi:10.1007/s11042-018-5912-x

Cited by 31 publications

(19 citation statements)

References 22 publications

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“…eir method is not stable [1]. Yamashita and Arakawa proposed a color matching method considering the brightness contrast and design characteristics of adjacent regions.…”

Section: Introductionmentioning

confidence: 99%

Innovative Design of Intangible Cultural Heritage Elements in Fashion Design Based on Interactive Evolutionary Computation

Liu

et al. 2021

Mathematical Problems in Engineering

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The application of intangible cultural heritage cultural elements and traditional crafts in modern design, especially in modern fashion design, is not to flatter the public but to integrate the artistic language of intangible cultural heritage into modern fashion on the basis of deeply understanding the connotation of intangible cultural heritage and mastering its traditional crafts, so as to meet people’s demand for fashion and aesthetics. It can also promote the inheritance and development of traditional intangible cultural heritage culture and technology. The purpose of this study is to analyze the intangible cultural heritage elements in the innovative design of fashion design by using interactive evolutionary computation. According to the composition characteristics of cultural elements, this research uses interactive evolutionary calculation to analyze the current status of intangible cultural heritage elements in clothing design. Then, 30 fashion designers are selected to evaluate the design situation and judge the effect of the method on the design. The results show that the neural network has evaluated 36 generations, that is, 256 times of moderate value. Compared with the general IGA algorithm, adding neural network IGA can reduce the fatigue caused by user reference score and improve the quality of the optimal solution, and the cultural image attributes whose perception frequency is more than 50% are favored. It is concluded that the research method in the intangible cultural heritage elements in fashion design can improve user satisfaction and the effect is good. This research contributes to the application of intelligent algorithm in the field of fashion design.

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“…eir method is not stable [1]. Yamashita and Arakawa proposed a color matching method considering the brightness contrast and design characteristics of adjacent regions.…”

Section: Introductionmentioning

confidence: 99%

Innovative Design of Intangible Cultural Heritage Elements in Fashion Design Based on Interactive Evolutionary Computation

Liu

et al. 2021

Mathematical Problems in Engineering

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“…The Interface for an interactive garment design and display. 47 system proposes a type of object-oriented blackboard and sets up expert rules based on apparel-characteristic elements. The system makes personal recommendations based on a positive rule reasoning mechanism engine.…”

Section: Fashion Recommendation Systemmentioning

confidence: 99%

“…Zhu et al 47 developed an interactive, personalized fashion design virtual-display system that uses the customer’s own face and can therefore meet the requirement of personalized fashion customization. Customers can choose fashion design elements to realize personalized design (Figure 7).…”

Section: Design-support Systems For Fashionmentioning

confidence: 99%

Big data and digital design models for fashion design

Zhao

Liu

Zhao

2021

Journal of Engineered Fibers and Fabrics

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The demand for fashion, and for virtual fitting and personalized fashion among customers, is changing the design and consumption of fashion. To meet such challenges, fashion design models are being developed based on big data and digitization, in which fashion is designed based on data, virtual fitting, design-support systems, and recommendation systems. This paper reviews the fashion design models proposed in recent years and considers future development directions for fashion design. Using big data and digital processing technologies, fashion designers identify the characteristics of popular fashions in the market, predict fashion trends, and create designs accordingly. The virtual fitting of scanatar, parametric mannequin, or even real human bodies, enables customers to quickly and easily find fashion that best meets their tastes and requirements. On consumer design-support platforms, consumers can freely select styles, colors, materials, and other fashion aspects and view the design output. Furthermore, fashion recommendation systems, guided by fashion design experts, have greatly improved consumer satisfaction with fashion design. Yet, current fashion design systems do not fully consider the performance of textile materials and do not involve functional fashion design, let alone comfort. Such limitations provide directions future research in fashion design.

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“…An increasing demand for 3D appearance modeling that demonstrates natural objects including fashion apparel vividly have been emerged with the arrived era featuring e-commence such as personalized design systems [1,2] and recommendation systems [3]. In recent years, 3D modeling for textile has been intensively investigated.…”

Section: Mini Reviewmentioning

confidence: 99%

Online Modeling for Future Fashion Factory Based on 3D Multispectral Colour Imaging and Data Fusion

2019

CTFTTE

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An interactive clothing design and personalized virtual display system

Cited by 31 publications

References 22 publications

Innovative Design of Intangible Cultural Heritage Elements in Fashion Design Based on Interactive Evolutionary Computation

Innovative Design of Intangible Cultural Heritage Elements in Fashion Design Based on Interactive Evolutionary Computation

Big data and digital design models for fashion design

Online Modeling for Future Fashion Factory Based on 3D Multispectral Colour Imaging and Data Fusion

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