Digital fabrics for online shopping and fashion design

IF 3.2 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Leyla Haghzare, Xiaona Ping, Matthew R. Arnison, David Monaghan, David Karlov, V. Honson, Juno Kim
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引用次数: 1

Abstract

Improving the digital presentation of fabrics enhances the online shopping experience and, in turn, reduces textile waste. In this study, we examined how the manipulation of simple surface reflectance models can bias the perception of fabric properties simulated online in a web browser. We showed that motion and three-dimensional (3D) folds (i.e., rumple) influence the perception of sheen for different fabric types (cotton knit and satin). Also, we found complex interactions between these parameters in their effects on perceived sheen and perceived color saturation. Moreover, we showed that changing the level of specular roughness significantly influences visual perception of sheen, color and lightness, which in turn, can categorically alter perceptual judgments of material type. In contrast to visual attributes, specular roughness did not influence visually perceived tactile characteristics of digital fabrics (thickness and stretch). The knowledge gained about perceptual biases of digital fabrics from this study will inform future considerations for optimizing the fidelity of textiles depicted in digital commerce.
用于网上购物和时尚设计的数字面料
改进织物的数字展示可以增强网上购物体验,进而减少纺织品浪费。在这项研究中,我们研究了简单表面反射率模型的操作如何会对网络浏览器中在线模拟的织物性能产生偏见。我们发现,运动和三维(3D)褶皱(即褶皱)会影响不同织物类型(棉针织和缎面)对光泽的感知。此外,我们发现这些参数之间的复杂相互作用对感知光泽和感知颜色饱和度的影响。此外,我们发现,镜面粗糙度的变化会显著影响对光泽、颜色和亮度的视觉感知,而这反过来又会明显改变对材料类型的感知判断。与视觉属性相反,镜面粗糙度不会影响数字织物的视觉触觉特性(厚度和拉伸)。从这项研究中获得的关于数字织物感知偏差的知识将为未来优化数字商务中描绘的纺织品保真度的考虑提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.80
自引率
0.00%
发文量
0
审稿时长
13 weeks
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