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Update doc of remove_outliers

This commit is contained in:
Simon Giraudot 2020-04-16 13:55:38 +02:00
parent 1772709b94
commit 79dbfbf14e
2 changed files with 11 additions and 6 deletions
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11
Point_set_processing_3/doc/Point_set_processing_3/Point_set_processing_3.txt
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@ -643,11 +643,12 @@ computed and stored as colors in a PLY file:
\section Point_set_processing_3OutlierRemoval Outlier Removal
Function `remove_outliers()` deletes a user-specified fraction
of outliers from an input point set. More specifically, it sorts the
input points in increasing order of average squared distances to their
nearest neighbors and deletes the points with largest value. The user
can either specify a fixed number of nearest neighbors or a fixed
Function `remove_outliers()` deletes a user-specified fraction of
outliers from an input point set. More specifically, it partitions the
input points with respect to the average squared distances to their
nearest neighbors and deletes the points with largest value, either
partitionning with a threshold or removing a fixed percentage. The
user can either specify a fixed number of nearest neighbors or a fixed
spherical neighborhood radius.
\subsection Point_set_processing_3Example_outlier_removal Example

6
Point_set_processing_3/include/CGAL/remove_outliers.h
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@ -88,7 +88,9 @@ compute_avg_knn_sq_distance_3(
\ingroup PkgPointSetProcessing3Algorithms
Removes outliers:
- computes average squared distance to the nearest neighbors,
- and sorts the points in increasing order of average distance.
- and partitions the points either using a threshold on the of
average distance or selecting a fixed percentage of points with
the highest average distances
This method modifies the order of input points so as to pack all remaining points first,
and returns an iterator over the first point to remove (see erase-remove idiom).
@ -96,6 +98,8 @@ compute_avg_knn_sq_distance_3(
\pre `k >= 2`
\tparam ConcurrencyTag enables sequential versus parallel algorithm. Possible values are `Sequential_tag`,
`Parallel_tag`, and `Parallel_if_available_tag`.
\tparam PointRange is a model of `Range`. The value type of
its iterator is the key type of the named parameter `point_map`.