mirror of https://github.com/CGAL/cgal
Fixed typo: recommended knn is 18 in code
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@ -22,7 +22,7 @@
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\ccc{CGAL::pca_estimate_normals()} estimates normal directions at all points of an input point set by linear least squares fitting of a plane over their $k$ nearest neighbors. The result is an unoriented normal for each input point.
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The output of the normal estimation algorithm highly depends on the \ccc{k} parameter.
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The number of neighbors controls the size of the point subset considered for plane fitting at each input point. As this parameter is application-specific we do not provide any default value. For noise-free point sets this value can be set to a small number, e.g., 15. Larger values (e.g., 30 or more) lead to smoother normal fields and are more time consuming. We thus recommend using them only for noisy data sets.
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The number of neighbors controls the size of the point subset considered for plane fitting at each input point. As this parameter is application-specific we do not provide any default value. For noise-free point sets this value can be set to a small number, e.g., 18. Larger values (e.g., 30 or more) lead to smoother normal fields and are more time consuming. We thus recommend using them only for noisy data sets.
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\ccInclude{CGAL/pca_estimate_normals.h}
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