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Medientyp:
E-Artikel
Titel:
Application of intelligent virtual reality technology in Clothing virtual wear and color saturation after COVID-19 epidemic situation
Beteiligte:
Niu, Meng
Erschienen:
IOS Press, 2020
Erschienen in:
Journal of Intelligent & Fuzzy Systems, 39 (2020) 6, Seite 8943-8951
Sprache:
Nicht zu entscheiden
DOI:
10.3233/jifs-189292
ISSN:
1064-1246;
1875-8967
Entstehung:
Anmerkungen:
Beschreibung:
The COVID-19 epidemic has brought a huge impact to the clothing industry. Because of the inconveniences caused by countermeasures, clothing consumers can’t go to physical stores to try on, so it is urgent to develop a virtual clothing trial system. In addition, online fitting and online shopping gradually become the trend of clothing consumption. Based on virtual reality technology, this paper proposes a virtual clothing fitting system, and studies the color saturation in the process. In this paper, a method of parametric drawing of garment characteristic curve is proposed, and the shape of garment is designed by using control vertices. Based on this, this paper presents four forms of sutured parabola space and their control point solving algorithm. According to the principle of scale method, a three-dimensional coordinate transformation model of feature points is established. The model can calculate the coordinates of each characteristic value point of clothing according to the body shape information provided by customers and the empirical formula of different clothing styles, and then reverse calculate the curve control point. Furthermore, Bezier surface generation method is used to fit the control points. After the surface patches are spliced, the 3D rigid clothing model can be obtained. Experiments show that the method of personalized clothing modeling in this paper is efficient and accurate, which can be further extended to the observation system with larger degree of freedom.