CGAL::Ball_merge_surface_reconstruction< Traits, ConcurrencyTag > Class Template Reference

#include <CGAL/Ball_merge_surface_reconstruction.h>

Definition

template<typename Traits, typename ConcurrencyTag>
class CGAL::Ball_merge_surface_reconstruction< Traits, ConcurrencyTag >

Class that can be used for running the ball merge surface reconstruction algorithms.

Once input points passed, it is possible to run a reconstruction algorithm with different parameters without rebuilding the internal Delaunay Triangulation.

Template Parameters

Traits	a model of DelaunayTriangulationTraits_3, with default using the value type of PointRange plugged in Kernel_traits
ConcurrencyTag	enables sequential versus parallel algorithm. Possible values are Sequential_tag, Parallel_tag, and Parallel_if_available_tag.

Public Member Functions
template<class PointRange >
void	build_triangulation (const PointRange &points)
	sets the input points for the triangulation, and (build the internal triangulation.
template<class NamedParameters = parameters::Default_named_parameters, class TripleIndexRange >
void	local_reconstruction (TripleIndexRange &out_triangles, const NamedParameters &np=parameters::default_values())
	creates a triangle soup approximating the surface with sample points passed to build_triangulation(), and puts the resulting triangule faces in out_triangles.
template<class NamedParameters = parameters::Default_named_parameters, class TripleIndexRange >
void	global_reconstruction (TripleIndexRange &out_triangles1, TripleIndexRange &out_triangles2, const NamedParameters &np=parameters::default_values())
	creates two watertight meshes approximating the surface with sample points passed to build_triangulation(), and puts the resulting triangule faces in out_triangles1 and out_triangles2.

Member Function Documentation

build_triangulation()

template<typename Traits , typename ConcurrencyTag >

template<class PointRange >

void CGAL::Ball_merge_surface_reconstruction< Traits, ConcurrencyTag >::build_triangulation

(

const PointRange &

points

)

sets the input points for the triangulation, and (build the internal triangulation.

If called several times, only the last point range will be considered for the reconstructions.

Template Parameters

PointRange

a model of RandomAccessContainer, with Traits::Point_3 as value type

Parameters

points

is the input points

global_reconstruction()

template<typename Traits , typename ConcurrencyTag >

template<class NamedParameters = parameters::Default_named_parameters, class TripleIndexRange >

void CGAL::Ball_merge_surface_reconstruction< Traits, ConcurrencyTag >::global_reconstruction	(	TripleIndexRange &	out_triangles1,
		TripleIndexRange &	out_triangles2,
		const NamedParameters &	np = parameters::default_values()
	)

creates two watertight meshes approximating the surface with sample points passed to build_triangulation(), and puts the resulting triangule faces in out_triangles1 and out_triangles2.

Template Parameters

TripleIndexRange

a model of BackInsertionSequence with value_type being a model of RandomAccessContainer and BackInsertionSequence with value_type being constructible from std::size_t.

Parameters

out_triangles1	is the output parameter storing the first resulting mesh
out_triangles2	is the output parameter storing the second resulting mesh
np	an optional sequence of Named Parameters among the ones listed below

Optional Named Parameters

delta the value of \( \delta \) Type: double Default: 1.7

local_reconstruction()

template<typename Traits , typename ConcurrencyTag >

template<class NamedParameters = parameters::Default_named_parameters, class TripleIndexRange >

void CGAL::Ball_merge_surface_reconstruction< Traits, ConcurrencyTag >::local_reconstruction	(	TripleIndexRange &	out_triangles,
		const NamedParameters &	np = parameters::default_values()
	)

creates a triangle soup approximating the surface with sample points passed to build_triangulation(), and puts the resulting triangule faces in out_triangles.

Template Parameters

TripleIndexRange

a model of BackInsertionSequence with value_type being a model of RandomAccessContainer and BackInsertionSequence with value_type being constructible from std::size_t.

Parameters

out_triangles	is the output parameter storing triangles approximating the surface
np	an optional sequence of Named Parameters among the ones listed below

Optional Named Parameters

delta the value of \( \delta \) Type: double Default: 1.7
eta the value of \( \eta \) Type: double Default: 200. Extra: The geometric traits class must be compatible with the vertex point type.