(I)
F the movable
' simplify the
lirections and
> the apparent
‘st application
- A.O) of the
ose, we shall
evaluate eqns
te orientation
) image space
) object space
] the C-spac
image spaces
ing, the fixed
ing the imag
Moreover, the
spaces which,
RDOVS idea
moving. The
ependent pair
juently in this
R-space (see
see Figure X
> image Space
space will be
ft image axes.
ng eqns. 1&
$ technique is
t2
James Olaleye
An element of one space can only cross to the other space by projection onto the apparent directions of the new space.
If the scales of the two spaces are different, the projection must be scaled to conform to the new space.
Any element moving from the C-space to the R-space must add to itself after projection, the vector which located the
origin of the C-space.
Any element moving from the R-space to the C- space must reduce itself before projection, by the vector which locates
the origin of the C-space.
These rules, aided by simple vector algebra produce the reduction equations. As will be demonstrated with an
example, the ARDOV's development leads to routine simplicity of the reduction process. However, a key factor to
bear in mind in the present problem is that the image R-space and the object C-space are one and the same space
except that depending on the operation being performed, its axes are labelled with the appropriate direction vectors.
Also, when the axes direction vectors carry the superscript (*) notation, they refer to an object space operation,
otherwise, an image space operation is implied.
\
(a) pa Í
R,
b
0, => x
T,
pa
(c)
Figure 3: R-space and C-space notations in the ARDOVS concept
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000. 661