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面向压力袜精确定制的基于NURBS的人体小腿建模优化研究
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Abstract:
为实现医用压力袜的快速、精准定制化，提出了一种基于NURBS的人体小腿高精度参数化建模方案。通过点云预处理、曲面逼近两个主要步骤实现小腿曲面重建。在NURBS曲面逼近中，为了解决节点矢量选择这一高维非线性和非凸优化问题，提出了一种基于粒子群算法的节点配置方法。该方法通过给定的适应度函数来评价节点位置的优劣，从而确定最佳的节点矢量。最终小腿建模精度相较于传统节点配置方法提高了10%，曲面重建误差最低达到0.21 mm。
In this work, an NURBS-based high-precision parametric modeling scheme for human calf is proposed to achieve rapid and accurate customization of medical compression stockings. To this end, surface reconstruction of human calf can be implemented through point cloud prepossession and surface approximation. A particle swarm optimization-based knot placement method was proposed to solve the high-dimensional nonlinear and non-convex optimization problem for knot vector selection. This proposed method evaluated the merit of knots positions by a given fitness function to determine the optimal knot vector. The final calf modeling accuracy is observed improved by 10% compared to traditional knot placement method, and the surface reconstruction error reaches a satisfactory minimum of 0.21 mm.
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