纺织学报 ›› 2018, Vol. 39 ›› Issue (04): 144-150.doi: 10.13475/j.fzxb.20170602407

• 管理与信息化 • 上一篇    下一篇

采用多角度成像技术的纺织品三维轮廓重建算法

  

  • 收稿日期:2017-06-08 修回日期:2018-01-10 出版日期:2018-04-15 发布日期:2018-04-20

Algorithm for three-dimensional reconstruction of textile contour based on multi-directional imaging

  • Received:2017-06-08 Revised:2018-01-10 Online:2018-04-15 Published:2018-04-20

摘要:

为更全面地对织物表面信息进行表征,方便对织物进行结构分析、外观评估、质量检测和逆向工程等测试,设计了1 套可实现数字化图像采集、相机校准和三维重建的纺织品三维轮廓重建方法及系统。自行搭建了1 套针对纺织品多角度图像采集平台,同时根据成像参数优化、算法优化深入探讨二者对三维重建效果的影响,逐步优化实验流程和拍摄环境,以提高纺织品三维重建系统的精度。结果表明,在现有硬件的基础条件下,该平台可完成低密度针织物三维轮廓的高精度重建,重建所得模型携带织物表面大量的纹理信息、空间位置关系及颜色信息,特征匹配的特征点均超过1 000个。

关键词: 纺织品检测, 相机标定, 特征点匹配, 点云融合, 三维重建

Abstract:

In order to more fully characterize the surface information of the fabric to facilitate the subsequent fabric structure analysis, appearance evaluation, quality inspection and reverse engineering and other applications, a three-dimensional contour reconstruction method and system were developed for realizing the digital image acquisition, camera calibration and three-dimensional reconstruction. A multi-angle image acquisition platform for textileswas set, the influence of the imaging parameters optimization and the algorithm optimization on the three-dimensional reconatruction effect was investigated, and the experimental process and shooting environment was gradually optimized to improve the system accuracy of the three-dimensional reconstruction of textiles. The results show that based on existing hardware, the platform can complete high-precision reconstruction of the three-dimensional contour of low density textiles, and the reconstructed model can carry a large number of texture information, spatial position relation and color information on the surface of the fabric, and the feature point number is above 1 000. 

Key words: textile testing, camera calibration, feature point matching, point colud fusion, three-dimensional reconstruction

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