基于非均匀B样条小波的服装纸样优化识别方法及应用

针对服装样片纸样的形状与结构特点，提出一种由曲率确定型值点分布的非均匀B样条曲线拟合识别方法，并用其样条小波进行型值点压缩和优化，以达到在给定误差下型值点数目尽量少的目的．通过分析比较和实例检验表明，这种算法识别服装纸样方便可靠，为服装计算机辅助设计(CAD)中样片的编辑设计提供一种智能高效的输入技术．

Garment pattern optimized identification based on non-uniform B-spline wavelet and its application

With the peculiarities of garment pattern shape and structure in mind, the authors proposed a method for non-uniform B-spline curve fitting in which the distribution of data points was determined by curvature. The spline wavelet was used to compress and optimize the data points so as to make its number as small as possible under the permissible error margin. Being robust, the method provided an intellective and efficacious input technology for pattern design in garment computer aided design (CAD).