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A Proposal to Model Ancient Silk Weaving Techniques and Extracting Information from Digital Imagery - Ongoing Results of the SILKNOW Project

机译:关于模拟古代丝绸编织技术并从数字图像中提取信息的提案-SILKNOW项目的持续成果

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Three dimensional (3D) virtual representations of the internal structure of textiles are of interest for a variety of purposes related to fashion, industry, education or other areas. The modeling of ancient weaving techniques is relevant to understand and preserve our heritage, both tangible and intangible. However, ancient techniques cannot be reproduced with standard approaches, which usually are aligned with the characteristics of modern, mechanical looms. The aim of this paper is to propose a mathematical modelling of ancient weaving techniques by means of matrices in order to be easily mapped to a virtual 3D representation. The work focuses on ancient silk textiles, ranging from the 15th to the 19th centuries. We also propose a computer vision-based strategy to extract relevant information from digital imagery, by considering different types of images (textiles, technical drawings and macro images). The work here presented has been carried out in the scope of the SILKNOW project, which has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 769504.
机译:纺织品内部结构的三维(3D)虚拟表示形式对于与时装,工业,教育或其他领域相关的各种用途都很重要。古代编织技术的建模与理解和保存我们的有形和无形遗产有关。但是,古老的技术无法用标准的方法来复制,这些方法通常与现代机械织机的特征保持一致。本文的目的是提出一种通过矩阵对古代编织技术进行数学建模的方法,以便轻松地将其映射到虚拟3D表示形式。该作品侧重于15世纪至19世纪的古代丝绸纺织品。我们还提出了一种基于计算机视觉的策略,通过考虑不同类型的图像(纺织品,技术图纸和宏观图像)从数字图像中提取相关信息。此处介绍的工作已在SILKNOW项目的范围内进行,该项目已从欧洲联盟的Horizo​​n 2020研究与创新计划中获得了资助,编号为769504。

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