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.