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Color Image Segmentation and Textile Texture Mapping of 2D Virtual Wearing System  

Lee, Eun-Hwan (백석대학교 정보통신학부)
Kwak, No-Yoon (백석대학교 정보통신학부)
Publication Information
Journal of KIISE:Computer Systems and Theory / v.35, no.5, 2008 , pp. 213-222 More about this Journal
Abstract
This paper is related to color image segmentation and textile texture mapping for the 2D virtual wearing system. The proposed system is characterized as virtually wearing a new textile pattern selected by user to the clothing shape section, based on its intensity difference map, segmented from a 2D clothes model image using color image segmentation technique. Regardless of color or intensity of model clothes, the proposed system is possible to virtually change the textile pattern or color with holding the illumination and shading properties of the selected clothing shape section, and also to quickly and easily simulate, compare, and select multiple textile pattern combinations for individual styles or entire outfits. The proposed system can provide higher practicality and easy-to-use interface, as it makes real-time processing possible in various digital environment, and creates comparatively natural and realistic virtual wearing styles, and also makes semi-automatic processing possible to reduce the manual works to a minimum. According to the proposed system, it can motivate the creative activity of the designers with simulation results on the effect of textile pattern design on the appearance of clothes without manufacturing physical clothes and, as it can help the purchasers for decision-making with them, promote B2B or B2C e-commerce.
Keywords
Virtual wearing system; Intensity difference map; Segmentation; Textile texture mapping;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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