\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)
CGAL 4.12 - Point Set Processing
Named Parameters for Point Set Processing
Point Set Processing Reference

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.

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.
Type: a Geometric traits class.
Default type: is

typename CGAL::Kernel_traits<point_map::value_type>::Kernel

point_map

is the property map containing the points associated to the iterators of the point range points.
Type: a class model of ReadablePropertyMap with PointRange::iterator as key type and geom_traits::Point_3 as value type.
Default value:

CGAL::Identity_property_map<geom_traits::Point_3>

normal_map

is the property map containing the normal vectors associated to the iterators of the point range points.
Type: a class model of ReadablePropertyMap with PointRange::iterator as key type and geom_traits::Vector_3 as value type.
No default value.

diagonalize_traits

is the solver used for diagonalizing covariance matrices.
Type: a class model of DiagonalizeTraits.
Default: if Eigen 3.2 (or greater) is available and CGAL_EIGEN3_ENABLED is defined, then CGAL::Eigen_diagonalize_traits is used. Otherwise, the fallback CGAL::Diagonalize_traits is used (note that it is significantly slower, so using Eigen is strongly advised).

svd_traits

is the linear algebra algorithm required by the jet fitting method. For more information, please refer to the documentation of CGAL::Monge_via_jet_fitting.
Type: a class fitting the requirements of CGAL::Monge_via_jet_fitting.
Default: if Eigen 3.2 (or greater) is available and CGAL_EIGEN3_ENABLED is defined, then CGAL::Eigen_svd is used.

query_point_map

is the property map containing the points associated to the iterators of the point range queries.
Type: a class model of ReadablePropertyMap with PointRange::iterator as key type and geom_traits::Point_3 as value type.
Default value:

CGAL::Identity_property_map<geom_traits::Point_3>

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].
Type: floating scalar value
Default value: 30.

edge_sensitivity

controls the priority of points inserted along sharp features. Larger values of edge-sensitivity give higher priority to inserting points along sharp features. The range of possible values is [0, 1].
Type: floating scalar value
Default value: 1.

neighbor_radius

is the spherical neighborhood radius.
Type: floating scalar value
Default value: -1, in which case the functions that use it will compute an adapted value automatically.

number_of_output_points

is the number of output points to generate.
Type: unsigned int
Default value: 1000

size

maximum cluster size for hierarchical clustering. Must be strictly greather than 0.
Type: unsigned int
Default value: 10

maximum_variation

maximum cluster size for hierarchical clustering. Must be strictly greather than 0.
Type: unsigned int
Default value: 10

degree_fitting

is the degree of fitting (see CGAL::Monge_via_jet_fitting).
Type: unsigned int
Default value: 2

degree_monge

is the Monge degree (see CGAL::Monge_via_jet_fitting).
Type: unsigned int
Default value: 2

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).
Type: floating scalar value
Default value: 0

threshold_percent

is the maximum percentage (between 0 and 100) of points to remove in remove_outliers().
Type: floating scalar value
Default value: 10

attraction_factor

multiple of a tolerance epsilon used to connect simplices. Type: floating scalar value
Default value: 3

plane_map

is the property map containing the planes associated to the iterators of the plane range planes.
Type: a class model of ReadablePropertyMap with PlaneRange::iterator as key type and geom_traits::Plane_3 as value type.
Default value:

CGAL::Identity_property_map<geom_traits::Plane_3>

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).
Type: a class model of ReadablePropertyMap with std::size_t as key type and int as value type.
No default value.

select_percentage

percentage of points to retain (between 0 and 100) in wlop_simplify_and_regularize_point_set().
Type: floating scalar value
Default value: 5.

number_of_iterations

number of iterations to solve the optimsation problem in wlop_simplify_and_regularize_point_set().
Type: unsigned int
Default value: 35.

require_uniform_sampling

turn on or off an optional preprocessing of wlop_simplify_and_regularize_point_set(), which will give better result if the distribution of the input points is highly non-uniform.
Type: bool
Default value: false