James Olaleye 
  
RI, RT. 
3% He es. sk #2 
A m x PE 
RIA R, Ta 
3 Repeat steps 1-2 for all points 
3 Algorithm for object space to conjugate image spaces 
Conceptually, the task here is to resolve the object space vector element into its left and right image space vecty 
elements. The operations involved may be summarized as follows: vector transformation from an object R-space to a 
object C-space (and through axes relabelling) to an image R-space to an image C-space. This is achieved by 
application of the ARDOVS operational rules 1 & 3 to the object space element (P,) in Figure 5. This produces a 
object C-space element T (Figure 5). The axes of the object C-space are relabelled as an image R- space and a further 
application of rules 1 & 3 projects the vector element T onto the left and right image spaces to produce the conjugate 
image space vectors (See figure 6). Note that the appropriate scales are applied to the projection. The theoretic 
development of this algorithm is treated in Olaleye (1992). The algorithm is listed below: 
  
Figur 
  
  
  
  
  
668 International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B3. Amsterdam 2000.