采用光切扫描法提出了一种基于规则化点云数据的鞋楦定制算法。将规则化点云拟合为NURBS曲线后,在划分的各特征段内分别根据脚型对标准鞋楦进行整体缩放实现局部修改;然后,用基于能量优化原则同时修改控制点和权因子的方法,对标准鞋楦进行自适应修改来实现鞋楦的数字化定制。利用该算法对特定脚型进行自动化鞋楦定制,由脚型扫描至生成定制鞋楦模型的时间在120 s之内。根据此算法完成的定制鞋楦能够满足鞋楦美观性和舒适性的需求,并且缩短了常规手工定制鞋楦的时间。

In order to realize the automatic customizing for shoe lasts,a segment-based adaptive algorithm is proposed.After fitting the regular data clouds to NURBS curves,the standard shoe lasts are contracted or enlarged in each feature segment according to foot shapes to perform local modification.Then,an energy optimization-based method to modify the control points and the weight factors is proposed to fit the standard shoe lasts adaptively and to realize digital customizing the shoe lasts.The automatic custormizing shoe lasts are performed by the presented method,and the procedure from scanning the foot shape to establish a last 3D model takes time less than 120 s.The results show that the algorithm can meet the requirements of comfort and aesthetics,and can shorten the customizing time.