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PSO-based generating algorithm for parametric curve

机译:基于PSO的参数曲线生成算法

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This paper presents a generating algorithm at pixel level for parametric curve. The parallel particle sub-swarm optimization is used to search the optimal step of curve in forward. Large amount of repeated computing for points are avoided and the result is precise enough. Simulation results show that the parallel method based on particle sub-swarm can be used for searching the optimal step of parametric curve with any degree quickly. At the same time, compared with other methods, this algorithm produces the maximum step efficiently. Since there is no restriction on control point position and curve degree, the algorithm can be extended easily to other parametric curves besides Bezier curves.
机译:本文提出了一种在像素级的参数曲线生成算法。并行粒子次群优化用于搜索正向曲线的最佳步长。避免了对点的大量重复计算,并且结果足够精确。仿真结果表明,基于粒子群的并行方法可以快速,快速地搜索参数曲线的最优步长。同时,与其他方法相比,该算法有效地产生了最大步长。由于对控制点位置和曲线程度没有限制,因此该算法可以轻松扩展到Bezier曲线以外的其他参数曲线。

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