Pierre Alliez, Laurent Saboret, Nader Salman

This CGAL component implements methods to analyze and process unorganized point sets. The input is an unorganized point set, possibly with normal attributes (unoriented or oriented). The point set can be analyzed to measure its average spacing, and processed through functions devoted to the simplification, outlier removal, smoothing, normal estimation and normal orientation.

Introduced in: CGAL 3.5
Depends on: Eigen
BibTeX: cgal:ass-psp-14a
License: GPL
Windows Demo: Surface Reconstruction
Common Demo Dlls: dlls

Classified Reference Pages

Functions

Classes
struct	CGAL::value_type_traits< T >
	Class providing the value type of an iterator, and in the case of an output iterator, a type of objects that can be put in it. More...

Functions
template<typename InputIterator , typename PointPMap , typename Kernel >
Kernel::FT	CGAL::compute_average_spacing (InputIterator first, InputIterator beyond, PointPMap point_pmap, unsigned int k, const Kernel &)
	Computes average spacing from k nearest neighbors. More...

template<typename ForwardIterator , typename PointPMap , typename Kernel >
ForwardIterator	CGAL::grid_simplify_point_set (ForwardIterator first, ForwardIterator beyond, PointPMap point_pmap, double epsilon, const Kernel &)
	Merges points which belong to the same cell of a grid of cell size = `epsilon`. More...

template<typename OutputIteratorValueType , typename OutputIterator , typename PointPMap , typename NormalPMap , typename Kernel >
bool	CGAL::read_off_points_and_normals (std::istream &stream, OutputIterator output, PointPMap point_pmap, NormalPMap normal_pmap, const Kernel &)
	Reads points (positions + normals, if available) from a .off ASCII stream. More...

template<typename OutputIteratorValueType , typename OutputIterator , typename PointPMap , typename Kernel >
bool	CGAL::read_off_points (std::istream &stream, OutputIterator output, PointPMap point_pmap, const Kernel &kernel)
	Reads points (position only) from a .off ASCII stream. More...

template<typename OutputIteratorValueType , typename OutputIterator , typename PointPMap , typename NormalPMap , typename Kernel >
bool	CGAL::read_xyz_points_and_normals (std::istream &stream, OutputIterator output, PointPMap point_pmap, NormalPMap normal_pmap, const Kernel &)
	Reads points (positions + normals, if available) from a .xyz ASCII stream. More...

template<typename OutputIteratorValueType , typename OutputIterator , typename PointPMap , typename Kernel >
bool	CGAL::read_xyz_points (std::istream &stream, OutputIterator output, PointPMap point_pmap, const Kernel &kernel)
	Reads points (positions only) from a .xyz ASCII stream. More...

template<typename ForwardIterator , typename PointPMap , typename NormalPMap , typename Kernel >
bool	CGAL::write_off_points_and_normals (std::ostream &stream, ForwardIterator first, ForwardIterator beyond, PointPMap point_pmap, NormalPMap normal_pmap, const Kernel &)
	Saves the [first, beyond) range of points (positions + normals) to a .off ASCII stream. More...

template<typename ForwardIterator , typename PointPMap , typename Kernel >
bool	CGAL::write_off_points (std::ostream &stream, ForwardIterator first, ForwardIterator beyond, PointPMap point_pmap, const Kernel &)
	Saves the [first, beyond) range of points (positions only) to a .off ASCII stream. More...

template<typename ForwardIterator , typename PointPMap , typename NormalPMap , typename Kernel >
bool	CGAL::write_xyz_points_and_normals (std::ostream &stream, ForwardIterator first, ForwardIterator beyond, PointPMap point_pmap, NormalPMap normal_pmap, const Kernel &)
	Saves the [first, beyond) range of points (positions + normals) to a .xyz ASCII stream. More...

template<typename ForwardIterator , typename PointPMap , typename Kernel >
bool	CGAL::write_xyz_points (std::ostream &stream, ForwardIterator first, ForwardIterator beyond, PointPMap point_pmap, const Kernel &)
	Saves the [first, beyond) range of points (positions only) to a .xyz ASCII stream. More...

template<typename ForwardIterator , typename PointPMap , typename NormalPMap , typename Kernel , typename SvdTraits >
void	CGAL::jet_estimate_normals (ForwardIterator first, ForwardIterator beyond, PointPMap point_pmap, NormalPMap normal_pmap, unsigned int k, const Kernel &, unsigned int degree_fitting=2)
	Estimates normal directions of the `[first, beyond)` range of points using jet fitting on the k nearest neighbors. More...

template<typename InputIterator , typename PointPMap , typename Kernel , typename SvdTraits >
void	CGAL::jet_smooth_point_set (InputIterator first, InputIterator beyond, PointPMap point_pmap, unsigned int k, const Kernel &, unsigned int degree_fitting=2, unsigned int degree_monge=2)
	Smoothes the `[first, beyond)` range of points using jet fitting on the k nearest neighbors and reprojection onto the jet. More...

template<typename ForwardIterator , typename PointPMap , typename NormalPMap , typename Kernel >
ForwardIterator	CGAL::mst_orient_normals (ForwardIterator first, ForwardIterator beyond, PointPMap point_pmap, NormalPMap normal_pmap, unsigned int k, const Kernel &kernel)
	Orients the normals of the `[first, beyond)` range of points using the propagation of a seed orientation through a minimum spanning tree of the Riemannian graph [Hoppe92]. More...

template<typename ForwardIterator , typename PointPMap , typename NormalPMap , typename Kernel >
void	CGAL::pca_estimate_normals (ForwardIterator first, ForwardIterator beyond, PointPMap point_pmap, NormalPMap normal_pmap, unsigned int k, const Kernel &)
	Estimates normal directions of the `[first, beyond)` range of points by linear least squares fitting of a plane over the k nearest neighbors. More...

template<typename ForwardIterator , typename PointPMap , typename Kernel >
ForwardIterator	CGAL::random_simplify_point_set (ForwardIterator first, ForwardIterator beyond, PointPMap, double removed_percentage, const Kernel &)
	Randomly deletes a user-specified fraction of the input points. More...

template<typename InputIterator , typename PointPMap , typename Kernel >
InputIterator	CGAL::remove_outliers (InputIterator first, InputIterator beyond, PointPMap point_pmap, unsigned int k, double threshold_percent, const Kernel &)
	Removes outliers: More...

Function Documentation

template<typename InputIterator , typename PointPMap , typename Kernel >

Kernel::FT CGAL::compute_average_spacing	(	InputIterator	first,
		InputIterator	beyond,
		PointPMap	point_pmap,
		unsigned int	k,
		const Kernel &
	)

Computes average spacing from k nearest neighbors.

Precondition: k >= 2.

Template Parameters

InputIterator	iterator over input points.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if InputIterator value_type is convertible to Point_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: average spacing (scalar).

Parameters

first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of InputIterator -> Point_3
k	number of neighbors.

#include <CGAL/compute_average_spacing.h>

Examples:: Point_set_processing_3/average_spacing_example.cpp.

template<typename ForwardIterator , typename PointPMap , typename Kernel >

ForwardIterator CGAL::grid_simplify_point_set	(	ForwardIterator	first,
		ForwardIterator	beyond,
		PointPMap	point_pmap,
		double	epsilon,
		const Kernel &
	)

Merges points which belong to the same cell of a grid of cell size = epsilon.

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). For this reason it should not be called on sorted containers.

Precondition: epsilon > 0

Template Parameters

ForwardIterator	iterator over input points.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if ForwardIterator value_type is convertible to Point_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: iterator over the first point to remove.

Parameters

first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of ForwardIterator -> Point_3
epsilon	tolerance value when merging 3D points.

#include <CGAL/grid_simplify_point_set.h>

Examples:: Point_set_processing_3/grid_simplification_example.cpp.

template<typename ForwardIterator , typename PointPMap , typename NormalPMap , typename Kernel , typename SvdTraits >

void CGAL::jet_estimate_normals	(	ForwardIterator	first,
		ForwardIterator	beyond,
		PointPMap	point_pmap,
		NormalPMap	normal_pmap,
		unsigned int	k,
		const Kernel &	,
		unsigned int	degree_fitting = `2`
	)

Estimates normal directions of the [first, beyond) range of points using jet fitting on the k nearest neighbors.

The output normals are randomly oriented.

Precondition: k >= 2

Template Parameters

ForwardIterator	iterator model of the concept of the same name over input points and able to store output normals.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if ForwardIterator value_type is convertible to Point_3<Kernel>.
NormalPMap	is a model of `WritablePropertyMap` with a value_type = Vector_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.
SvdTraits	template parameter for the class `Monge_via_jet_fitting` that can be ommited in conditions described in the documentation of `Monge_via_jet_fitting`.

Parameters

first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of ForwardIterator -> Point_3.
normal_pmap	property map: value_type of ForwardIterator -> Vector_3.
k	number of neighbors.
degree_fitting	fitting degree

#include <CGAL/jet_estimate_normals.h>

template<typename InputIterator , typename PointPMap , typename Kernel , typename SvdTraits >

void CGAL::jet_smooth_point_set	(	InputIterator	first,
		InputIterator	beyond,
		PointPMap	point_pmap,
		unsigned int	k,
		const Kernel &	,
		unsigned int	degree_fitting = `2`,
		unsigned int	degree_monge = `2`
	)

Smoothes the [first, beyond) range of points using jet fitting on the k nearest neighbors and reprojection onto the jet.

As this method relocates the points, it should not be called on containers sorted w.r.t. point locations.

Precondition: k >= 2

Template Parameters

InputIterator	iterator over input points.
PointPMap	is a model of `ReadWritePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if InputIterator value_type is convertible to Point_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.
SvdTraits	template parameter for the class `Monge_via_jet_fitting` that can be ommited in conditions described in the documentation of `Monge_via_jet_fitting`.

Parameters

first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of InputIterator -> Point_3.
k	number of neighbors.
degree_fitting	fitting degree
degree_monge	Monge degree

#include <CGAL/jet_smooth_point_set.h>

Examples:: Point_set_processing_3/jet_smoothing_example.cpp.

template<typename ForwardIterator , typename PointPMap , typename NormalPMap , typename Kernel >

ForwardIterator CGAL::mst_orient_normals	(	ForwardIterator	first,
		ForwardIterator	beyond,
		PointPMap	point_pmap,
		NormalPMap	normal_pmap,
		unsigned int	k,
		const Kernel &	kernel
	)

Orients the normals of the [first, beyond) range of points using the propagation of a seed orientation through a minimum spanning tree of the Riemannian graph [Hoppe92].

This method modifies the order of input points so as to pack all sucessfully oriented points first, and returns an iterator over the first point with an unoriented normal (see erase-remove idiom). For this reason it should not be called on sorted containers.

Warning: This function may fail when Boost version 1.54 is used, because of the following bug: https://svn.boost.org/trac/boost/ticket/9012

Precondition: Normals must be unit vectors; k >= 2

Template Parameters

ForwardIterator	iterator over input points.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if ForwardIterator value_type is convertible to Point_3<Kernel>.
NormalPMap	is a model of `ReadWritePropertyMap` with a value_type = Vector_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: iterator over the first point with an unoriented normal.

Parameters

first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of ForwardIterator -> Point_3.
normal_pmap	property map: value_type of ForwardIterator -> Vector_3.
k	number of neighbors
kernel	geometric traits.

#include <CGAL/mst_orient_normals.h>

Examples:: Point_set_processing_3/normals_example.cpp.

template<typename ForwardIterator , typename PointPMap , typename NormalPMap , typename Kernel >

void CGAL::pca_estimate_normals	(	ForwardIterator	first,
		ForwardIterator	beyond,
		PointPMap	point_pmap,
		NormalPMap	normal_pmap,
		unsigned int	k,
		const Kernel &
	)

Estimates normal directions of the [first, beyond) range of points by linear least squares fitting of a plane over the k nearest neighbors.

The output normals are randomly oriented.

Precondition: k >= 2

Template Parameters

ForwardIterator	iterator over input points.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if ForwardIterator value_type is convertible to Point_3<Kernel>.
NormalPMap	is a model of `WritablePropertyMap` with a value_type = Vector_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Parameters

first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of ForwardIterator -> Point_3.
normal_pmap	property map: value_type of ForwardIterator -> Vector_3.
k	number of neighbors.

#include <CGAL/pca_estimate_normals.h>

Examples:: Point_set_processing_3/normals_example.cpp.

template<typename ForwardIterator , typename PointPMap , typename Kernel >

ForwardIterator CGAL::random_simplify_point_set	(	ForwardIterator	first,
		ForwardIterator	beyond,
		PointPMap	,
		double	removed_percentage,
		const Kernel &
	)

Randomly deletes a user-specified fraction of the input points.

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). For this reason it should not be called on sorted containers.

Template Parameters

ForwardIterator	iterator over input points.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if ForwardIterator value_type is convertible to Point_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: iterator over the first point to remove.

Parameters

first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
removed_percentage	percentage of points to remove.

#include <CGAL/random_simplify_point_set.h>

template<typename OutputIteratorValueType , typename OutputIterator , typename PointPMap , typename Kernel >

bool CGAL::read_off_points	(	std::istream &	stream,
		OutputIterator	output,
		PointPMap	point_pmap,
		const Kernel &	kernel
	)

Reads points (position only) from a .off ASCII stream.

The function expects for each point a line with the x y z position. If the position is followed by the nx ny nz normal, then the normal will be ignored. Faces are ignored.

Template Parameters

OutputIteratorValueType	type of objects that can be put in `OutputIterator`. It is default to `value_type_traits<OutputIterator>::type` and can be omitted when the default is fine.
OutputIterator	iterator over output points.
PointPMap	is a model of `WritablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if OutputIterator value_type is convertible to Point_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: true on success.

Parameters

stream	input stream.
output	output iterator over points.
point_pmap	property map: value_type of OutputIterator -> Point_3.
kernel	geometric traits.

#include <CGAL/IO/read_off_points.h>

template<typename OutputIteratorValueType , typename OutputIterator , typename PointPMap , typename NormalPMap , typename Kernel >

bool CGAL::read_off_points_and_normals	(	std::istream &	stream,
		OutputIterator	output,
		PointPMap	point_pmap,
		NormalPMap	normal_pmap,
		const Kernel &
	)

Reads points (positions + normals, if available) from a .off ASCII stream.

The function expects for each point a line with the x y z position, optionally followed by the nx ny nz normal. Faces are ignored.

Template Parameters

OutputIteratorValueType	type of objects that can be put in `OutputIterator`. It is default to `value_type_traits<OutputIterator>::type` and can be omitted when the default is fine.
OutputIterator	iterator over output points.
PointPMap	is a model of `WritablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if OutputIterator value_type is convertible to Point_3<Kernel>.
NormalPMap	is a model of `WritablePropertyMap` with a value_type = Vector_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: true on success.

Parameters

stream	input stream.
output	output iterator over points.
point_pmap	property map: value_type of OutputIterator -> Point_3.
normal_pmap	property map: value_type of OutputIterator -> Vector_3.

#include <CGAL/IO/read_off_points.h>

template<typename OutputIteratorValueType , typename OutputIterator , typename PointPMap , typename Kernel >

bool CGAL::read_xyz_points	(	std::istream &	stream,
		OutputIterator	output,
		PointPMap	point_pmap,
		const Kernel &	kernel
	)

Reads points (positions only) from a .xyz ASCII stream.

The function expects for each point a line with the x y z position. If the position is followed by the nx ny nz normal, then the normal will be ignored. The first line may contain the number of points in the file. Empty lines and comments starting by # character are allowed.

Template Parameters

OutputIteratorValueType	type of objects that can be put in `OutputIterator`. It is default to `value_type_traits<OutputIterator>::type` and can be omitted when the default is fine.
OutputIterator	iterator over output points.
PointPMap	is a model of `WritablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if OutputIterator value_type is convertible to Point_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: true on success.

Parameters

stream	input stream.
output	output iterator over points.
point_pmap	property map: value_type of OutputIterator -> Point_3.
kernel	geometric traits.

#include <CGAL/IO/read_xyz_points.h>

Examples:: Point_set_processing_3/average_spacing_example.cpp, Point_set_processing_3/grid_simplification_example.cpp, Point_set_processing_3/normals_example.cpp, and Point_set_processing_3/remove_outliers_example.cpp.

template<typename OutputIteratorValueType , typename OutputIterator , typename PointPMap , typename NormalPMap , typename Kernel >

bool CGAL::read_xyz_points_and_normals	(	std::istream &	stream,
		OutputIterator	output,
		PointPMap	point_pmap,
		NormalPMap	normal_pmap,
		const Kernel &
	)

Reads points (positions + normals, if available) from a .xyz ASCII stream.

The function expects for each point a line with the x y z position, optionally followed by the nx ny nz normal. The first line may contain the number of points in the file. Empty lines and comments starting by # character are allowed.

Template Parameters

OutputIteratorValueType	type of objects that can be put in `OutputIterator`. It is default to `value_type_traits<OutputIterator>::type` and can be omitted when the default is fine.
OutputIterator	iterator over output points.
PointPMap	is a model of `WritablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if OutputIterator value_type is convertible to Point_3<Kernel>.
NormalPMap	is a model of `WritablePropertyMap` with a value_type = Vector_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: true on success.

Parameters

stream	input stream.
output	output iterator over points.
point_pmap	property map: value_type of OutputIterator -> Point_3.
normal_pmap	property map: value_type of OutputIterator -> Vector_3.

#include <CGAL/IO/read_xyz_points.h>

Examples:: Point_set_processing_3/read_write_xyz_point_set_example.cpp.

template<typename InputIterator , typename PointPMap , typename Kernel >

InputIterator CGAL::remove_outliers	(	InputIterator	first,
		InputIterator	beyond,
		PointPMap	point_pmap,
		unsigned int	k,
		double	threshold_percent,
		const Kernel &
	)

Removes outliers:

computes average squared distance to the K nearest neighbors,
and sorts the points in increasing order of average distance.

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). For this reason it should not be called on sorted containers.

Precondition: k >= 2

Template Parameters

InputIterator	iterator over input points.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if InputIterator value_type is convertible to Point_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: iterator over the first point to remove.

Parameters

first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of InputIterator -> Point_3
k	number of neighbors.
threshold_percent	percentage of points to remove.

#include <CGAL/remove_outliers.h>

Examples:: Point_set_processing_3/remove_outliers_example.cpp.

template<typename ForwardIterator , typename PointPMap , typename Kernel >

bool CGAL::write_off_points	(	std::ostream &	stream,
		ForwardIterator	first,
		ForwardIterator	beyond,
		PointPMap	point_pmap,
		const Kernel &
	)

Saves the [first, beyond) range of points (positions only) to a .off ASCII stream.

The function writes for each point a line with the x y z position.

Template Parameters

ForwardIterator	iterator over input points.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if ForwardIterator value_type is convertible to Point_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: true on success.

Parameters

stream	output stream.
first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of ForwardIterator -> Point_3.

#include <CGAL/IO/write_off_points.h>

template<typename ForwardIterator , typename PointPMap , typename NormalPMap , typename Kernel >

bool CGAL::write_off_points_and_normals	(	std::ostream &	stream,
		ForwardIterator	first,
		ForwardIterator	beyond,
		PointPMap	point_pmap,
		NormalPMap	normal_pmap,
		const Kernel &
	)

Saves the [first, beyond) range of points (positions + normals) to a .off ASCII stream.

The function writes for each point a line with the x y z position followed by the nx ny nz normal.

Precondition: normals must be unit vectors

Template Parameters

ForwardIterator	iterator over input points.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if ForwardIterator value_type is convertible to Point_3<Kernel>.
NormalPMap	is a model of `ReadablePropertyMap` with a value_type = Vector_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: true on success.

Parameters

stream	output stream.
first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of ForwardIterator -> Point_3.
normal_pmap	property map: value_type of ForwardIterator -> Vector_3.

#include <CGAL/IO/write_off_points.h>

template<typename ForwardIterator , typename PointPMap , typename Kernel >

bool CGAL::write_xyz_points	(	std::ostream &	stream,
		ForwardIterator	first,
		ForwardIterator	beyond,
		PointPMap	point_pmap,
		const Kernel &
	)

Saves the [first, beyond) range of points (positions only) to a .xyz ASCII stream.

The function writes for each point a line with the x y z position.

Template Parameters

ForwardIterator	iterator over input points.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if ForwardIterator value_type is convertible to Point_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: true on success.

Parameters

stream	output stream.
first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of ForwardIterator -> Point_3.

#include <CGAL/IO/write_xyz_points.h>

template<typename ForwardIterator , typename PointPMap , typename NormalPMap , typename Kernel >

bool CGAL::write_xyz_points_and_normals	(	std::ostream &	stream,
		ForwardIterator	first,
		ForwardIterator	beyond,
		PointPMap	point_pmap,
		NormalPMap	normal_pmap,
		const Kernel &
	)

Saves the [first, beyond) range of points (positions + normals) to a .xyz ASCII stream.

The function writes for each point a line with the x y z position followed by the nx ny nz normal.

Precondition: normals must be unit vectors

Template Parameters

ForwardIterator	iterator over input points.
PointPMap	is a model of `ReadablePropertyMap` with a value_type = Point_3<Kernel>. It can be omitted if ForwardIterator value_type is convertible to Point_3<Kernel>.
NormalPMap	is a model of `ReadablePropertyMap` with a value_type = Vector_3<Kernel>.
Kernel	Geometric traits class. It can be omitted and deduced automatically from PointPMap value_type.

Returns: true on success.

Parameters

stream	output stream.
first	iterator over the first input point.
beyond	past-the-end iterator over the input points.
point_pmap	property map: value_type of ForwardIterator -> Point_3.
normal_pmap	property map: value_type of ForwardIterator -> Vector_3.

#include <CGAL/IO/write_xyz_points.h>

Examples:: Point_set_processing_3/read_write_xyz_point_set_example.cpp.

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