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Implicit fitting of point cloud data using radial hermite basis functions
DOI:10.1007/s00607-006-0206-y.png)
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
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IF:
2.8
论文数:
2.3K
被引数:
3.5K
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