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Magnitude-based seed point placement for streamlines generation

机译:基于大小的种子点放置以简化流水线生成

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This paper presents an improved seed point placement to locate initial seed points based on magnitude value. The vector field is separated in to grid to ensure the uniformity in generating streamlines and broader streamlines coverage, thus reducing poor visualization information especially near to visualization boundary. An evaluation using Mean Square Error is conducted to evaluate the improvement in term of streamlines placement uniformity. Result shows that proposed method able to come out with lower Mean Square Error value compared to evenly-spaced in across different separation distance, resulting better streamlines control to produce uniform visualization result. Finally, the proposed method can be improved in many aspects to come out with a better visualization result in 2 and possibly 3 dimension flow visualization.
机译:本文提出了一种改进的种子点放置方式,可以基于大小值定位初始种子点。矢量场被分成网格以确保生成流线的均匀性和更宽的流线覆盖范围,从而减少了不良的可视化信息,尤其是在可视化边界附近。进行使用均方误差的评估,以评估流线放置均匀性方面的改进。结果表明,所提出的方法与在不同的分离距离上均匀分布相比,具有更低的均方误差值,从而实现了更好的流线控制,从而产生了统一的可视化结果。最后,可以在许多方面进行改进,以在二维和可能的三维流可视化中获得更好的可视化结果。

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