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Smoothing of Freeform Curves Based on Multi-Resolution B-Spline-Wavelet Network

机译:基于多分辨率B样条小波网络的自由曲线平滑

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This paper presents a novel network, Multi-resolution B-spline-wavelet network(MRBWN), which is used to the smoothing of freeform curves and obtaining the least control vertices in ship form design. Based on the MRWN principle, we introduce cubic Bspline function as the wavelet function and cubic Bspline basis function as the scale function to construct the network to approximate the freeform curves. The gradient algorithm is adopted to train the network. In the experiment on the ship waterline curve, the smooth curve is obtained, which show the approach is satisfactory.
机译:本文提出了一种新颖的多分辨率B样条小波网络(MRBWN),该网络用于平滑自由曲线并获得最小的控制顶点。基于MRWN原理,我们引入三次Bspline函数作为小波函数,三次Bspline基函数作为比例函数,以构造网络来近似自由曲线。采用梯度算法训练网络。在船舶水线曲线实验中,获得了平滑曲线,表明该方法是令人满意的。

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