Image-Based Reverse Engineering and Visual Prototyping of Woven Cloth
Image-Based Reverse Engineering and Visual Prototyping of Woven Cloth
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DOI：
10.1109/tvcg.2014.2339831
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发表时间：
2015-02
影响因子：
5.2
通讯作者：
K. Schröder;A. Zinke;R. Klein
中科院分区：
文献类型：
--
作者：
K. Schröder;A. Zinke;R. Klein
织物的真实感可视化在计算机图形学中有着广泛的应用。一个正在进行的研究问题是如何最好地表示和捕获布料模型，特别是当考虑计算机辅助设计的布料。以前的方法产生高度逼真的图像，然而，它们要么难以编辑，要么需要测量大型数据库来捕获布料样品的所有变化。我们提出了一个管道来逆向工程布料和估计一个参数化的布料模型从一个单一的图像。我们介绍了一个几何纱线模型，结合国家的最先进的纺织研究。我们提出了一种自动分析方法来估计纱线路径，纱线宽度，它们的变化和编织图案。几个例子表明，我们能够模拟原始布料样品的外观。从输入图像导出的属性提供了一个物理上合理的基础，可以使用一些直观的参数进行完全编辑。
Realistic visualization of cloth has many applications in computer graphics. An ongoing research problem is how to best represent and capture cloth models, specifically when considering computer aided design of cloth. Previous methods produce highly realistic images, however, they are either difficult to edit or require the measurement of large databases to capture all variations of a cloth sample. We propose a pipeline to reverse engineer cloth and estimate a parametrized cloth model from a single image. We introduce a geometric yarn model, integrating state-of-the-art textile research. We present an automatic analysis approach to estimate yarn paths, yarn widths, their variation and a weave pattern. Several examples demonstrate that we are able to model the appearance of the original cloth sample. Properties derived from the input image give a physically plausible basis that is fully editable using a few intuitive parameters.