Modeling yarn-level geometry from a single micro-image

Modeling yarn-level geometry from a single micro-image
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从单个微图像对纱线级几何结构进行建模

DOI:
10.1631/fitee.1800693
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发表时间:
2019-09
影响因子:
3
通讯作者:
Zhao Qin-ping
Zhao Qin-ping
中科院分区:
工程技术3区
文献类型:
--
作者:
Wu Hong-yu;Chen Xiao-wu;Zhang Chen-xu;Zhou Bin;Zhao Qin-ping

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不同类型的布料因其独特的纱线级几何细节而呈现出独特的外观。尽管它在布料渲染和模拟等应用中很重要,但捕获纱线级几何形状并非易事,并且需要特殊的硬件,例如用于传统方法的计算机断层扫描仪。在本文中,我们提出了一种新颖的方法,可以使用由带有微距镜头的消费数码相机捕获的单个微图像来生成真实布料的纱线级几何形状。给定单个输入图像,我们的方法通过图像着色来估计大规模纱线几何形状,并且可以通过所提出的纤维追踪和生成算法来恢复细尺度纤维细节。实验结果表明,我们的方法可以捕获各种布料的详细纱线级几何形状并重现合理的布料外观。
Different types of cloth show distinctive appearances owing to their unique yarn-level geometrical details. Despite its importance in applications such as cloth rendering and simulation, capturing yarn-level geometry is nontrivial and requires special hardware, e.g., computed tomography scanners, for conventional methods. In this paper, we propose a novel method that can produce the yarn-level geometry of real cloth using a single micro-image, captured by a consumer digital camera with a macro lens. Given a single input image, our method estimates the large-scale yarn geometry by image shading, and the fine-scale fiber details can be recovered via the proposed fiber tracing and generation algorithms. Experimental results indicate that our method can capture the detailed yarn-level geometry of a wide range of cloth and reproduce plausible cloth appearances.
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