Modeling yarn-level geometry from a single micro-image  

基于单幅微距图像的布料丝线结构建模（英文）

作　　者：Hong-yu WU Xiao-wu CHEN Chen-xu ZHANG Bin ZHOU Qin-ping ZHAO 

机构地区：[1]State Key Laboratory of Virtual Reality Technology and Systems,School of Computer Science and Engineering,Beihang University,Beijing 100191,China

出　　处：《Frontiers of Information Technology & Electronic Engineering》2019年第9期1165-1174,共10页信息与电子工程前沿（英文版）

基　　金：the National Natural Science Foundation of China(Nos.61532003 and 61902014);the National Key Research and Development Plan,China(No.2018YFC0831003)。

摘　　要：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.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.

关 键 词：SINGLE micro-images YARN GEOMETRY CLOTH APPEARANCE 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]