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Fig. 1.1
The pinhole model. A scene point
C
x
defined in the camera coordinate system is projected
into the image point
I
x
located in the image plane
the camera coordinate system
C
is denoted by
C
x
, where the origin of
C
corresponds
to the principal point. Similarly, a transformation of a point in the world coordinate
system
W
into the camera coordinate system
C
is denoted by a transformation
W
T
,
where the lower index defines the original coordinate system and the upper index
the coordinate system into which the point is transformed. The transformation
W
T
corresponds to an arbitrary rotation and translation. In this notation, the transforma-
tion is given by
C
x
(x,y,z)
T
defined in the camera
coordinate system
C
is projected on the image plane into the point
I
x
, defined in
the image coordinate system
I
, such that the scene point
C
x
, the optical centre,
and the image point
I
x
are connected by a straight line in three-dimensional space
(Fig.
1.1
). Obviously, all scene points situated on this straight line are projected into
the same point in the image plane, such that the original depth information
z
is lost.
Elementary geometrical considerations yield for the point
I
x
C
W
T
W
x
. A scene point
C
x
=
=
=
(
u,
ˆ
v)
in the image
ˆ
coordinate system the relations
u
b
=
ˆ
x
z
(1.1)
v
b
=
ˆ
y
z
ˆ
ˆ
(Horn,
1986
). The coordinates
v
in the image plane are measured in the same
metric units as
x
,
y
,
z
, and
b
. The principal point is given in the image plane by
u
=
v
=
u
and
0. In contrast, pixel coordinates in the coordinate system of the camera
sensor are denoted by
u
and
v
.
While it may be useful to regard the camera coordinate system
C
as identical
to the world coordinate system
W
for a single camera, it is favourable to explic-
itly define a world coordinate system as soon as multiple cameras are involved. The
orientation and translation of each camera
i
with respect to this world coordinate
system is then expressed by
C
i
W
x
from the world coordi-
W
T
, transforming a point
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