Full text: XVIIIth Congress (Part B3)

        
    
    
  
     
   
     
    
   
   
  
   
    
   
   
   
  
    
    
    
  
   
   
   
      
    
    
   
   
   
    
   
   
   
     
      
   
     
   
  
  
  
  
   
      
gorithm holds 
ab.2). Item a 
rithm obtains 
the DLT algo- 
configuration. 
JLT algorithm 
es completely 
3. The small 
'cimeters, are 
es. Moreover, 
im GCPs con- 
e accuracy as 
it due to the 
tion within a 
(in meters) 
; values 
oz 
1:722 
1.722 
1.723 
1.729 
1.729 
1.722 
1.736 
1.745 
  
  
  
  
  
  
  
  
  
  
  
  
  
im under dif- 
e s, @ and d 
> and the dis- 
y. In order to 
nulated affine 
; are added to 
the first and 
je parameters 
for this table 
ithm presents 
formations, it 
is (in meters) 
  
  
  
  
  
  
) best values 
Oy oz 
455 | 1.722 
.460 | 1.715 
.466 | 1.719 
.465 | 1.748 
.488 | 1.743 
  
  
  
-580 
thm is practi- 
nount of affine 
hanges (maxi- 
nong them. 
    
7. CONCLUSIONS 
Object reconstruction without interior orientation 
can be linearly accomplished with the aid of the affine 
model. By making complete employment of a stereo 
we can determine 2 ratios of the affine base compo- 
nents and 6 relationships among the 9 entries of the 
affine rotation matrix. The partially reconstructed 
affine model is oriented to an object frame via de- 
termining 15 independent parameters. Unlike the 
DLT algorithm where minimum 6 known points are 
required on each image of a stereo, this algorithm al- 
lows one image may have only 4 of them. In addition 
to its completely compatible accuracy with the DLT 
algorithm, it is robust to control configurations and 
image deformations. 
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ACKNOWLEDGEMENTS 
Prof. Dr.-Ing E.Grafarend is gratelfully acknowledged 
since he led the author to projective geometry and its 
application to computer vision.
	        
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