CGAL 4.12.1  Point Set Processing

In this package, all functions optional parameters are implemented as BGL optional named parameters (see Named Parameters for more information on how to use them).
Since the parameters of the various point set processing functions defined in this package are redundant, their long descriptions are centralized below.
In the following, we assume that the following types are provided as template parameters of point set processing functions and classes. Note that, for some of these functions, the type is more specific.
PointRange
is a model of Range
. The value type of its iterator is the key type of the related property maps (see below). GeomTraits
a geometric traits class in which constructions are performed and predicates evaluated. Everywhere in this package, a CGAL Kernel
fulfills the requirements. CGAL::parameters::all_default()
can be used to indicate that default values of optional named parameters must be used.
Here is the list of the named parameters available in this package:
geom_traits  the geometric traits instance in which the point set processing operation should be performed. 
point_map  is the property map containing the points associated to the iterators of the point range 
normal_map  is the property map containing the normal vectors associated to the iterators of the point range 
diagonalize_traits  is the solver used for diagonalizing covariance matrices. 
svd_traits  is the linear algebra algorithm required by the jet fitting method. For more information, please refer to the documentation of 
query_point_map  is the property map containing the points associated to the iterators of the point range 
sharpness_angle  controls the sharpness of the result. The larger the value is, the smoother the result will be. The range of possible value is [0, 90]. 
edge_sensitivity  controls the priority of points inserted along sharp features. Larger values of edgesensitivity give higher priority to inserting points along sharp features. The range of possible values is 
neighbor_radius  is the spherical neighborhood radius. 
number_of_output_points  is the number of output points to generate. 
size  maximum cluster size for hierarchical clustering. Must be strictly greather than 0. 
maximum_variation  maximum cluster size for hierarchical clustering. Must be strictly greather than 0. 
degree_fitting  is the degree of fitting (see 
degree_monge  is the Monge degree (see 
threshold_distance  is the minimum distance for a point to be considered as outlier (distance here is the square root of the average squared distance to K nearest neighbors). 
threshold_percent  is the maximum percentage (between 0 and 100) of points to remove in 
attraction_factor  multiple of a tolerance 
plane_map  is the property map containing the planes associated to the iterators of the plane range 
plane_index_map  is the property map that associates the index of a point in the input range to the index of plane (1 if point is not assigned to a plane). 
select_percentage  percentage of points to retain (between 0 and 100) in 
number_of_iterations  number of iterations to solve the optimsation problem in 
require_uniform_sampling  turn on or off an optional preprocessing of 