Structure-aware synthesis for predictive woven fabric appearance
Structure-aware synthesis for predictive woven fabric appearance
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DOI：
10.1145/2185520.2185571
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发表时间：
2012-07
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影响因子：
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通讯作者：
Shuang Zhao;Wenzel Jakob;Steve Marschner;Kavita Bala
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文献类型：
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作者：
Shuang Zhao;Wenzel Jakob;Steve Marschner;Kavita Bala
机织物具有由其小尺度3D结构决定的广泛外观。精确地建模这种结构细节可以产生高度逼真的织物渲染，并且对于织物外观的预测渲染至关重要。但是构建这些纱线级的体积模型是具有挑战性的。程序技术是手工密集型的，并且不能捕捉自然产生的不规则性，这些不规则性对布料的整体外观有很大的贡献。获取真实的织物样品的详细3D结构的技术仅限于对扫描样品进行建模，并且不能表示不同的织物设计。本文提出了一种新的方法来创建体积模型的编织布，从用户指定的织物设计和生产的模型，正确捕捉纱线层次的结构细节的布。我们通过扫描具有简单编织结构的织物样品来创建体积样本的小型数据库。为了构建输出模型，我们的方法通过在每个纱线交叉处复制样本的数据来合成新的体积，以匹配指定所需输出结构的编织图案。我们的研究结果表明，我们的方法可以很好地推广到复杂的设计，并可以在大规模和小规模的高度逼真的结果。
Woven fabrics have a wide range of appearance determined by their small-scale 3D structure. Accurately modeling this structural detail can produce highly realistic renderings of fabrics and is critical for predictive rendering of fabric appearance. But building these yarn-level volumetric models is challenging. Procedural techniques are manually intensive, and fail to capture the naturally arising irregularities which contribute significantly to the overall appearance of cloth. Techniques that acquire the detailed 3D structure of real fabric samples are constrained only to model the scanned samples and cannot represent different fabric designs. This paper presents a new approach to creating volumetric models of woven cloth, which starts with user-specified fabric designs and produces models that correctly capture the yarn-level structural details of cloth. We create a small database of volumetric exemplars by scanning fabric samples with simple weave structures. To build an output model, our method synthesizes a new volume by copying data from the exemplars at each yarn crossing to match a weave pattern that specifies the desired output structure. Our results demonstrate that our approach generalizes well to complex designs and can produce highly realistic results at both large and small scales.