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基于光栅成像的织物悬垂三维形态重建算法 被引量:3

Three-Dimensional Shape Reconstruction Algorithm of Fabric Drapability Based on Raster Imaging
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摘要 根据织物悬垂三维形态测试仪的基本原理,提出了一种织物悬垂性图像的三维形态重建算法。首先识别出试样的边缘轮廓,然后从全景光栅图像中提取等高线信息,对光栅条纹进行定位,计算出光栅条纹所在位置的空间高度,从而得到试样上光栅取样点的三维坐标数值,再利用双三次贝赛尔曲面重建试样悬垂形态的三维图像。结合实例陈述了该算法的设计和实现过程。 According to the fundamental of the fabric drapability three dimensional shape tester, a three dimensional shape reconstruction algorithm of fabric drapability is proposed. First, the outer edge of the fabric sample is identified; next, the contour line from the panoramic raster stripes image is extracted; then positioning and computing the height of raster stripes to obtain the 3D coordinates of sampling points in raster stripes; finally, the 3D fabric drapability image of the specimen is reconstructed using bicubic Brzier surface. The design and execution process of the algorithm are expounded with examples.
出处 《工程图学学报》 CSCD 北大核心 2008年第2期136-141,共6页 Journal of Engineering Graphics
基金 国家自然科学基金资助项目(50275139) 浙江省自然科学基金资助项目(501023)
关键词 计算机应用 织物悬垂性 光栅条纹 三维形态重建 computer application fabric drapability raster stripe three dimensional shape reconstruction
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