namespace Eigen {

/** \page TutorialGeometry Tutorial 2/3 - Geometry
    \ingroup Tutorial

<div class="eimainmenu">\ref index "Overview"
  | \ref TutorialCore "Core features"
  | \b Geometry
  | \ref TutorialAdvancedLinearAlgebra "Advanced linear algebra"
</div>

In this tutorial chapter we will shortly introduce the many possibilities offered by the \ref GeometryModule "geometry module",
namely 2D and 3D rotations and affine transformations.

\b Table \b of \b contents
  - \ref TutorialGeoElementaryTransformations
  - \ref TutorialGeoCommontransformationAPI
  - \ref TutorialGeoTransform
  - \ref TutorialGeoEulerAngles

\section TutorialGeoElementaryTransformations Transformation types

<table class="tutorial_code">
<tr><td>Transformation type</td><td>Typical initialization code</td></tr>
<tr><td>
2D rotation from an angle</td><td>\code
Rotation2D<float> rot2(angle_in_radian);\endcode</td></tr>
<tr><td>
3D rotation as an angle + axis</td><td>\code
AngleAxis<float> aa(angle_in_radian, Vector3f(ax,ay,az));\endcode</td></tr>
<tr><td>
3D rotation as a quaternion</td><td>\code
Quaternion<float> q = AngleAxis<float>(angle_in_radian, axis);\endcode</td></tr>
<tr><td>
N-D Scaling</td><td>\code
Scaling<float,2>(sx, sy)
Scaling<float,3>(sx, sy, sz)
Scaling<float,N>(s)
Scaling<float,N>(vecN)\endcode</td></tr>
<tr><td>
N-D Translation</td><td>\code
Translation<float,2>(tx, ty)
Translation<float,3>(tx, ty, tz)
Translation<float,N>(s)
Translation<float,N>(vecN)\endcode</td></tr>
<tr><td>
N-D \ref TutorialGeoTransform "Affine transformation"</td><td>\code
Transform<float,N> t = concatenation_of_any_transformations;
Transform<float,3> t = Translation3f(p) * AngleAxisf(a,axis) * Scaling3f(s);\endcode</td></tr>
<tr><td>
N-D Linear transformations \n
<em class=note>(pure rotations, \n scaling, etc.)</em></td><td>\code
Matrix<float,N> t = concatenation_of_rotations_and_scalings;
Matrix<float,2> t = Rotation2Df(a) * Scaling2f(s);
Matrix<float,3> t = AngleAxisf(a,axis) * Scaling3f(s);\endcode</td></tr>
</table>

<strong>Notes on rotations</strong>\n To transform more than a single vector the preferred
representations are rotation matrices, while for other usages Quaternion is the
representation of choice as they are compact, fast and stable. Finally Rotation2D and
AngleAxis are mainly convenient types to create other rotation objects.

<strong>Notes on Translation and Scaling</strong>\n Likewise AngleAxis, these classes were
designed to simplify the creation/initialization of linear (Matrix) and affine (Transform)
transformations. Nevertheless, unlike AngleAxis which is inefficient to use, these classes
might still be interesting to write generic and efficient algorithms taking as input any
kind of transformations.

Any of the above transformation types can be converted to any other types of the same nature,
or to a more generic type. Here are come additional examples:
<table class="tutorial_code">
<tr><td>\code
Rotation2Df r = Matrix2f(..);       // assumes a pure rotation matrix
AngleAxisf aa = Quaternionf(..);
AngleAxisf aa = Matrix3f(..);       // assumes a pure rotation matrix
Matrix2f m = Rotation2Df(..);
Matrix3f m = Quaternionf(..);       Matrix3f m = Scaling3f(..);
Transform3f m = AngleAxis3f(..);    Transform3f m = Scaling3f(..);
Transform3f m = Translation3f(..);  Transform3f m = Matrix3f(..);
\endcode</td></tr>
</table>


<a href="#" class="top">top</a>\section TutorialGeoCommontransformationAPI Common API across transformation types

To some extent, Eigen's \ref GeometryModule "geometry module" allows you to write
generic algorithms working on any kind of transformation representations:
<table class="tutorial_code">
<tr><td>
Concatenation of two transformations</td><td>\code
gen1 * gen2;\endcode</td></tr>
<tr><td>Apply the transformation to a vector</td><td>\code
vec2 = gen1 * vec1;\endcode</td></tr>
<tr><td>Get the inverse of the transformation</td><td>\code
gen2 = gen1.inverse();\endcode</td></tr>
<tr><td>Spherical interpolation \n (Rotation2D and Quaternion only)</td><td>\code
rot3 = rot1.slerp(alpha,rot2);\endcode</td></tr>
</table>



<a href="#" class="top">top</a>\section TutorialGeoTransform Affine transformations
Generic affine transformations are represented by the Transform class which internaly
is a (Dim+1)^2 matrix. In Eigen we have chosen to not distinghish between points and
vectors such that all points are actually represented by displacement vectors from the
origin ( \f$ \mathbf{p} \equiv \mathbf{p}-0 \f$ ). With that in mind, real points and
vector distinguish when the transformation is applied.
<table class="tutorial_code">
<tr><td>
Apply the transformation to a \b point </td><td>\code
VectorNf p1, p2;
p2 = t * p1;\endcode</td></tr>
<tr><td>
Apply the transformation to a \b vector </td><td>\code
VectorNf vec1, vec2;
vec2 = t.linear() * vec1;\endcode</td></tr>
<tr><td>
Apply a \em general transformation \n to a \b normal \b vector
(<a href="http://www.cgafaq.info/wiki/Transforming_normals">explanations</a>)</td><td>\code
VectorNf n1, n2;
MatrixNf normalMatrix = t.linear().inverse().transpose();
n2 = (normalMatrix * n1).normalized();\endcode</td></tr>
<tr><td>
Apply a transformation with \em pure \em rotation \n to a \b normal \b vector
(no scaling, no shear)</td><td>\code
n2 = t.linear() * n1;\endcode</td></tr>
<tr><td>
OpenGL compatibility \b 3D </td><td>\code
glLoadMatrixf(t.data());\endcode</td></tr>
<tr><td>
OpenGL compatibility \b 2D </td><td>\code
Transform3f aux(Transform3f::Identity);
aux.linear().corner<2,2>(TopLeft) = t.linear();
aux.translation().start<2>() = t.translation();
glLoadMatrixf(aux.data());\endcode</td></tr>
</table>

\b Component \b accessors</td></tr>
<table class="tutorial_code">
<tr><td>
full read-write access to the internal matrix</td><td>\code
t.matrix() = matN1xN1;    // N1 means N+1
matN1xN1 = t.matrix();
\endcode</td></tr>
<tr><td>
coefficient accessors</td><td>\code
t(i,j) = scalar;   <=>   t.matrix()(i,j) = scalar;
scalar = t(i,j);   <=>   scalar = t.matrix()(i,j);
\endcode</td></tr>
<tr><td>
translation part</td><td>\code
t.translation() = vecN;
vecN = t.translation();
\endcode</td></tr>
<tr><td>
linear part</td><td>\code
t.linear() = matNxN;
matNxN = t.linear();
\endcode</td></tr>
<tr><td>
extract the rotation matrix</td><td>\code
matNxN = t.extractRotation();
\endcode</td></tr>
</table>


\b Transformation \b creation \n
While transformation objects can be created and updated concatenating elementary transformations,
the Transform class also features a procedural API:
<table class="tutorial_code">
<tr><td></td><td>\b procedurale \b API </td><td>\b equivalent \b natural \b API </td></tr>
<tr><td>Translation</td><td>\code
t.translate(Vector_(tx,ty,..));
t.pretranslate(Vector_(tx,ty,..));
\endcode</td><td>\code
t *= Translation_(tx,ty,..);
t = Translation_(tx,ty,..) * t;
\endcode</td></tr>
<tr><td>\b Rotation \n <em class="note">In 2D, any_rotation can also \n be an angle in radian</em></td><td>\code
t.rotate(any_rotation);
t.prerotate(any_rotation);
\endcode</td><td>\code
t *= any_rotation;
t = any_rotation * t;
\endcode</td></tr>
<tr><td>Scaling</td><td>\code
t.scale(Vector_(sx,sy,..));
t.scale(s);
t.prescale(Vector_(sx,sy,..));
t.prescale(s);
\endcode</td><td>\code
t *= Scaling_(sx,sy,..);
t *= Scaling_(s);
t = Scaling_(sx,sy,..) * t;
t = Scaling_(s) * t;
\endcode</td></tr>
<tr><td>Shear transformation \n ( \b 2D \b only ! )</td><td>\code
t.shear(sx,sy);
t.preshear(sx,sy);
\endcode</td><td></td></tr>
</table>

Note that in both API, any many transformations can be concatenated in a single expression as shown in the two following equivalent examples:
<table class="tutorial_code">
<tr><td>\code
t.pretranslate(..).rotate(..).translate(..).scale(..);
\endcode</td></tr>
<tr><td>\code
t = Translation_(..) * t * RotationType(..) * Translation_(..) * Scaling_(..);
\endcode</td></tr>
</table>



<a href="#" class="top">top</a>\section TutorialGeoEulerAngles Euler angles
<table class="tutorial_code">
<tr><td style="max-width:30em;">
Euler angles might be convenient to create rotation objects.
On the other hand, since there exist 24 differents convensions,they are pretty confusing to use. This example shows how
to create a rotation matrix according to the 2-1-2 convention.</td><td>\code
Matrix3f m;
m = AngleAxisf(angle1, Vector3f::UnitZ())
*  * AngleAxisf(angle2, Vector3f::UnitY())
*  * AngleAxisf(angle3, Vector3f::UnitZ());
\endcode</td></tr>
</table>

*/

}