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27 #ifndef __com_sun_star_geometry_AffineMatrix3D_idl__
28 #define __com_sun_star_geometry_AffineMatrix3D_idl__
30 module com
{ module sun
{ module star
{ module geometry
{
32 /** This structure defines a 3 by 4 affine matrix.<p>
34 The matrix defined by this structure constitutes an affine mapping
35 of a point in 3D to another point in 3D. The last line of a
36 complete 4 by 4 matrix is omitted, since it is implicitely assumed
39 An affine mapping, as performed by this matrix, can be written out
40 as follows, where <code>xs, ys</code> and <code>zs</code> are the source, and
41 <code>xd, yd</code> and <code>zd</code> the corresponding result coordinates:
44 xd = m00*xs + m01*ys + m02*zs + m03;
45 yd = m10*xs + m11*ys + m12*zs + m13;
46 zd = m20*xs + m21*ys + m22*zs + m23;
49 Thus, in common matrix language, with M being the
50 <type>AffineMatrix3D</type> and vs=[xs,ys,zs]^T, vd=[xd,yd,zd]^T two 3D
51 vectors, the affine transformation is written as
52 vd=M*vs. Concatenation of transformations amounts to
53 multiplication of matrices, i.e. a translation, given by T,
54 followed by a rotation, given by R, is expressed as vd=R*(T*vs) in
55 the above notation. Since matrix multiplication is associative,
56 this can be shortened to vd=(R*T)*vs=M'*vs. Therefore, a set of
57 consecutive transformations can be accumulated into a single
58 AffineMatrix3D, by multiplying the current transformation with the
59 additional transformation from the left.<p>
61 Due to this transformational approach, all geometry data types are
62 points in abstract integer or real coordinate spaces, without any
63 physical dimensions attached to them. This physical measurement
64 units are typically only added when using these data types to
65 render something onto a physical output device. For 3D coordinates
66 there is also a projection from 3D to 2D device coordiantes needed.
67 Only then the total transformation matrix (oncluding projection to 2D)
68 and the device resolution determine the actual measurement unit in 3D.<p>
74 /// The top, left matrix entry.
77 /// The top, left middle matrix entry.
80 /// The top, right middle matrix entry.
83 /// The top, right matrix entry.
86 /// The middle, left matrix entry.
89 /// The middle, middle left matrix entry.
92 /// The middle, middle right matrix entry.
95 /// The middle, right matrix entry.
98 /// The bottom, left matrix entry.
101 /// The bottom, middle left matrix entry.
104 /// The bottom, middle right matrix entry.
107 /// The bottom, right matrix entry.