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	A novel visualization scheme based on NNI method for highly irregular scattered data
	Zhu, HQ ; Xie, JP ; Wu, JH
	2001
关键词	Voronoi cells NNI C- basis function scientific visualization
英文摘要	One of the key problems in scientific visualization technology is how to efficiently build interpolation scheme and choose interpolation basis function. In this paper, the Natural Neighbor Interpolation (NNI) method based on C- basis function is described. Defined by a finite set of distinct data points of any planar domain, we can divide the plane into Voronoi cells and get the corresponding Delaunay triangulation. Using our efficient method, a complex data field with irregularly distributed data points can be reconstructed as a model with regular grid. Based on the regular grid, the data field is visualized by contour map, perspective view, streamline and vector quiver etc.; Computer Science, Artificial Intelligence; Computer Science, Hardware & Architecture; Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods; CPCI-S(ISTP); 0
语种	英语
内容类型	会议论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/407033]
专题	工学院
推荐引用方式 GB/T 7714	Zhu, HQ,Xie, JP,Wu, JH. A novel visualization scheme based on NNI method for highly irregular scattered data[C]. 见:.

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