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High-Precision Extraction of Segment Points of 2D Profiles Based on a Dynamic Grid Method

机译:基于动态网格法的2D型材分段点的高精度提取

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摘要

In order to improve the reconstruction precision and performance of 2D profiles, this paper presents a new high-precision extraction method of segment points of 2D profile features. Firstly, we extract the intervals which include initial segment points based on the curvature information of data points. Secondly, a grid is dynamically constructed in the interval and all the nodes of the grid are considered as candidate segment points for an optimization process. Thirdly, the optimization model of each feature curve is constructed on the basis of boundary constraints. Selection of the optimal segment point is related to two factors: the number of control points of B-spline and the total approximation error of all collected points to the fitted curves. Numerical experiments were conducted and the results demonstrate the efficacy of our method in capturing design intent and in industrial applications, compared to existing methods.
机译:为了提高2D轮廓的重建精度和性能,本文提出了一种新的高精度提取方法的2D型材特征的分段点。首先,我们提取基于数据点的曲率信息的初始段点的间隔。其次,在间隔中动态地构造网格,并且网格的所有节点被认为是优化过程的候选段点。第三,基于边界约束构造每个特征曲线的优化模型。选择最佳段点与两个因素有关:B样条的控制点数和所有收集点到安装曲线的总近似误差。进行了数值实验,结果证明了与现有方法相比捕获设计意图和工业应用中的方法的功效。

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