"Fossies" - the Fresh Open Source Software Archive

Member "doc_html/Kernel_23/classCGAL_1_1Aff__transformation__2.html" (8 Nov 2019, 41646 Bytes) of package /linux/misc/CGAL-4.14.2-doc_html.tar.xz:


Caution: In this restricted "Fossies" environment the current HTML page may not be correctly presentated and may have some non-functional links. You can here alternatively try to browse the pure source code or just view or download the uninterpreted raw source code. If the rendering is insufficient you may try to find and view the page on the CGAL-4.14.2-doc_html.tar.xz project site itself.

\( \newcommand{\E}{\mathrm{E}} \) \( \newcommand{\A}{\mathrm{A}} \) \( \newcommand{\R}{\mathrm{R}} \) \( \newcommand{\N}{\mathrm{N}} \) \( \newcommand{\Q}{\mathrm{Q}} \) \( \newcommand{\Z}{\mathrm{Z}} \) \( \def\ccSum #1#2#3{ \sum_{#1}^{#2}{#3} } \def\ccProd #1#2#3{ \sum_{#1}^{#2}{#3} }\)

CGAL 4.14.2 - 2D and 3D Linear Geometry Kernel
CGAL::Aff_transformation_2< Kernel > Class Template Reference

#include <CGAL/Aff_transformation_2.h>

Definition

The class Aff_transformation_2 represents two-dimensional affine transformations.

The general form of an affine transformation is based on a homogeneous representation of points. Thereby all transformations can be realized by matrix multiplications.

Multiplying the transformation matrix by a scalar does not change the represented transformation. Therefore, any transformation represented by a matrix with rational entries can be represented by a transformation matrix with integer entries as well. (Multiply the matrix with the common denominator of the rational entries.) Hence, it is sufficient to use the number type Kernel::RT to represent the entries of the transformation matrix.

CGAL offers several specialized affine transformations. Different constructors are provided to create them. They are parameterized with a symbolic name to denote the transformation type, followed by additional parameters. The symbolic name tags solve ambiguities in the function overloading and they make the code more readable, i.e., what type of transformation is created.

Since two-dimensional points have three homogeneous coordinates, we have a \( 3\times 3\) matrix \( {(m_{ij})}_{i,\,j=0\ldots 2}\).

If the homogeneous representations are normalized (the homogenizing coordinate is 1), then the upper left \( 2\times 2\) matrix realizes linear transformations. In the matrix form of a translation, the translation vector \( (v_0,\,v_1,\,1)\) appears in the last column of the matrix. The entries \( m_{20}\) and \( m_{21}\) are always zero and therefore do not appear in the constructors.

See also
Identity_transformation
Rotation
Scaling
Translation
CGAL::rational_rotation_approximation()

Example

typedef Cartesian<double> K;
typedef Aff_transformation_2<K> Transformation;
typedef Point_2<K> Point;
typedef Vector_2<K> Vector;
typedef Direction_2<K> Direction;
Transformation rotate(ROTATION, sin(pi), cos(pi));
Transformation rational_rotate(ROTATION,Direction(1,1), 1, 100);
Transformation translate(TRANSLATION, Vector(-2, 0));
Transformation scale(SCALING, 3);
Point q(0, 1);
q = rational_rotate(q);
Point p(1, 1);
p = rotate(p);
p = translate(p);
p = scale(p);

The same would have been achieved with

Transformation transform = scale * (translate * rotate);
p = transform(Point(1.0, 1.0));
See also
CGAL::Aff_transformation_3<Kernel>
CGAL::Identity_transformation
CGAL::Reflection
CGAL::Rotation
CGAL::Scaling
CGAL::Translation

Creation

 Aff_transformation_2 (const Identity_transformation &)
 introduces an identity transformation.
 
 Aff_transformation_2 (const Translation, const Vector_2< Kernel > &v)
 introduces a translation by a vector v.
 
 Aff_transformation_2 (const Rotation, const Direction_2< Kernel > &d, const Kernel::RT &num, const Kernel::RT &den=RT(1))
 approximates the rotation over the angle indicated by direction d, such that the differences between the sines and cosines of the rotation given by d and the approximating rotation are at most \( num/den\) each. More...
 
 Aff_transformation_2 (const Rotation, const Kernel::RT &sine_rho, const Kernel::RT &cosine_rho, const Kernel::RT &hw=RT(1))
 introduces a rotation by the angle rho. More...
 
 Aff_transformation_2 (const Scaling, const Kernel::RT &s, const Kernel::RT &hw=RT(1))
 introduces a scaling by a scale factor \( s/hw\).
 
 Aff_transformation_2 (const Kernel::RT &m00, const Kernel::RT &m01, const Kernel::RT &m02, const Kernel::RT &m10, const Kernel::RT &m11, const Kernel::RT &m12, const Kernel::RT &hw=RT(1))
 introduces a general affine transformation in the \(3 \times 3\) matrix form \( \small \mbox{\( \left(\begin{array}{ccc} m_{00} & m_{01} & m_{02}\\ m_{10} & m_{11} & m_{12}\\ 0 & 0 & hw \end{array}\right) \)} \). More...
 
 Aff_transformation_2 (const Kernel::RT &m00, const Kernel::RT &m01, const Kernel::RT &m10, const Kernel::RT &m11, const Kernel::RT &hw=RT(1))
 introduces a general linear transformation \(\small \mbox{\(\left(\begin{array}{ccc} m_{00} & m_{01} & 0\\ m_{10} & m_{11} & 0\\ 0 & 0 & hw \end{array}\right)\)}\) i.e. there is no translational part.
 

Operations

The main thing to do with transformations is to apply them on geometric objects.

Each class Class_2<Kernel> representing a geometric object has a member function:

Class_2<Kernel> transform(Aff_transformation_2<Kernel> t).

The transformation classes provide a member function transform() for points, vectors, directions, and lines. The same functionality is also available through operator() overloads.

Point_2< Kerneltransform (const Point_2< Kernel > &p) const
 
Vector_2< Kerneltransform (const Vector_2< Kernel > &p) const
 
Direction_2< Kerneltransform (const Direction_2< Kernel > &p) const
 
Line_2< Kerneltransform (const Line_2< Kernel > &p) const
 
Point_2< Kerneloperator() (const Point_2< Kernel > &p) const
 
Vector_2< Kerneloperator() (const Vector_2< Kernel > &p) const
 
Direction_2< Kerneloperator() (const Direction_2< Kernel > &p) const
 
Line_2< Kerneloperator() (const Line_2< Kernel > &p) const
 

Miscellaneous

Aff_transformation_2< Kerneloperator* (const Aff_transformation_2< Kernel > &s) const
 composes two affine transformations.
 
Aff_transformation_2< Kernelinverse () const
 gives the inverse transformation.
 
bool operator== (const Aff_transformation_2< Kernel > &s) const
 compares two affine transformations.
 
bool is_even () const
 returns true, if the transformation is not reflecting, i.e. the determinant of the involved linear transformation is non-negative.
 
bool is_odd () const
 returns true, if the transformation is reflecting.
 

Matrix Entry Access

Kernel::FT cartesian (int i, int j) const
 
Kernel::FT m (int i, int j) const
 returns entry \( m_{ij}\) in a matrix representation in which \( m_{22}\) is 1.
 
Kernel::RT homogeneous (int i, int j) const
 
Kernel::RT hm (int i, int j) const
 returns entry \( m_{ij}\) in some fixed matrix representation.
 

Constructor & Destructor Documentation

◆ Aff_transformation_2() [1/3]

template<typename Kernel >
CGAL::Aff_transformation_2< Kernel >::Aff_transformation_2 ( const Rotation  ,
const Direction_2< Kernel > &  d,
const Kernel::RT num,
const Kernel::RT den = RT(1) 
)

approximates the rotation over the angle indicated by direction d, such that the differences between the sines and cosines of the rotation given by d and the approximating rotation are at most \( num/den\) each.

Precondition
\( num/den>0\) and \( d != 0\).

◆ Aff_transformation_2() [2/3]

template<typename Kernel >
CGAL::Aff_transformation_2< Kernel >::Aff_transformation_2 ( const Rotation  ,
const Kernel::RT sine_rho,
const Kernel::RT cosine_rho,
const Kernel::RT hw = RT(1) 
)

introduces a rotation by the angle rho.

Precondition
\( sine\_rho^2 + cosine\_rho^2 == hw^2\).

◆ Aff_transformation_2() [3/3]

template<typename Kernel >
CGAL::Aff_transformation_2< Kernel >::Aff_transformation_2 ( const Kernel::RT m00,
const Kernel::RT m01,
const Kernel::RT m02,
const Kernel::RT m10,
const Kernel::RT m11,
const Kernel::RT m12,
const Kernel::RT hw = RT(1) 
)

introduces a general affine transformation in the \(3 \times 3\) matrix form \( \small \mbox{\( \left(\begin{array}{ccc} m_{00} & m_{01} & m_{02}\\ m_{10} & m_{11} & m_{12}\\ 0 & 0 & hw \end{array}\right) \)} \).

The sub-matrix \(1\over hw\) \(\small \mbox{\( \left(\begin{array}{cc} m_{00} & m_{01}\\ m_{10} & m_{11} \end{array}\right) \) } \) contains the scaling and rotation information, the vector \( \small \left( \begin{array}{c} m_{02}\\ m_{12} \end{array} \right) \) contains the translational part of the transformation.