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Implicit fitting of point cloud data using radial hermite basis functions

delete2007-03-07
delete6
PRE
AI
G
Gregory M. Nielson *
H
Hans Hagen
K
K. Lee
DOI:10.1007/s00607-006-0206-ydelete
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摘要

摘要

En 中文
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.
Keyword:
surface fitting
point clouds
isosurfaces
noisy 3D data
scattered data approximation

期刊

C
Computing
IF:
2.8
论文数:
2.3K
被引数:
3.5K

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