摘要
随着服装行业科技能力的提高,三维服装CAD系统成为服装设计的必然趋势,这就决定了做为基础的人体建模的重要性。人体的建模方法直接影响后期服装款式设计的表现效果,也与服装三维模拟仿真等问题密切相关,因此研究三维人体模型的构建方法具有广泛的价值和应用前景。
本文在非接触式三维扫描仪获取的人体表面数据的基础上,进行了点云数据存储、点云数据处理、人体模型重构和人体模型查看等四个方面的研究工作。分别提出了:简化二维链表的点云数据存储结构;基于弦差分法的点云数据精简算法;运用逆向工程软件Rapidform对点云数据进行补点与去噪;参照人体测量定义的基准点对人台数据进行关键点提取;基于Voronoi图和Delaunay三角剖分的Crust算法重构人体模型;运用MATLAB平台实现人体建模。
最后选取一个人体扫描的数据样本,制作出人体模型和基于该人体的人台模型。实验结果表明本文的方法便捷、有效,能快速准确地得到符合要求的计算机人体模型,为三维服装CAD系统的进一步完善提供了良好的基础。
With the development of technologies in the garment industry, 3D-garment CAD is becoming the trend of garment design, which means the importance of the mannequin modeling. The mannequin modeling will influence the performance of the garment design directly, and be closely related to the three-dimensional simulation of the garment. Therefore exploring 3D mannequin modeling method is valuable and of extensive prospect for application.
Based on the mannequin data from 3D non-contact body scanning, this paper discussed how to store and process the point cloud data, how to rebuild and display the mannequins. Specific researches include the storage structure of the point cloud data based on the two-dimensional chain table, the reduction algorithm of the point cloud data based on the difference method, hole-filling and noise-filtering in the application of Rapidform software, the extraction of the top mannequin data based on anthropometry standard, the Crust algorithm of the mannequin modeling based on Voronoi and Delaunay triangulation, the mannequin modeling in MATLAB platform.
Using a mannequin data file, this paper builds the mannequin and the top mannequin modeling. Experiments result showed that this method can build model quickly and efficiently; the obtained mannequin met the standard exactly. In a word, this method lays a good foundation for the further development of 3D-garment CAD system.
引文
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