Implicit fitting of point cloud data using radial hermite basis functions

被引：0
|
作者：
G. M. Nielson
H. Hagen
K. Lee
机构：
[1] Arizona State University,Computer Science and Engineering Mathematics
来源：
Computing | 2007年 / 79卷
关键词：
65D17; 41A46; Surface fitting; point clouds; isosurfaces; noisy 3D data; scattered data approximation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We describe a new technique for fitting noisy scattered point cloud data. The fitting surface is determined as zero level isosurface of a trivariate model which is an implicit least squares fit of the data based upon Radial Hermite Operators (RHO). We illustrate the value of these new techniques with several diverse applications.
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页码：301 / 307
页数：6
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