Full text: Proceedings, XXth congress (Part 3)

  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004 
  
  
    
    
  
  
   
   
   
     
    
    
   
   
   
  
  
  
  
  
  
  
   
   
  
   
    
   
  
  
  
  
  
  
   
   
   
  
  
   
  
   
  
   
  
  
  
  
   
  
  
     
  
  
  
  
  
   
    
Mean shortening of edges at point 20 
  
  
  
  
  
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0 5 10 15 20 25 30 35 40 45 50 
Image No. 
Figure 8: Shortening of straight lines and edges at a single junc- 
tion over all images 
  
Mean shortening at each point over all images 
  
  
  
  
157 T T T T 
| 
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| + 
| + + + + 
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Point No. 
Figure 9: Shortening of straight lines and edges for all junctions. 
Mean and the variance are taken over all images 
role of reference data in characterizing and evaluating algorithms 
is discussed and the approaches to reference data generation are 
explained. 
The methods were successfully employed to investigate the noise 
sensitivity of point extraction modules and the shortening of straight 
lines and edges provided. by linear feature extraction modules. 
First results are plausible and give reason 1) to exploit the pro- 
posed methods for reference data generation on other data sets, 
2) to further investigate the noise behavior of corner extraction 
modules including local image characteristics such as shape or 
local contrast and 3) to further investigate the shortening of linear 
features dependent at junctions dependent on the contrast at the 
junction branches. 
ACKNOWLEDGMENT 
This work has been supported by the German Research Council 
(DFO). 
References 
Canny, J.F., 1983. Finding Edges and Lines in Images. Technical 
report, MIT Artificial Intelligence Laboratory. 
Crowley, J.L., Riff, O. and Piator, J.H., 2002. Fast computation of 
characteristic scale using a half octave pyramid. In: CogVis 
2002, International Workshop on Cognitive Vision, Zürich. 
Fórstner, W., 1996. 10 Pros and Cons Against Performance Char- 
acterization of Vision Algorithms. In: Workshop on "Perfor- 
mance Characteristics of Vision Algorithms" , Cambridge. 
1066 
Fórstner, W. and Gülch, E., 1987. A Fast Operator for Detection 
and Precise Location of Distinct Points, Corners and Cen- 
tres of Circular Features. In: Proceedings of the Intercom- 
mission Conference on Fast Processing of Photogrammetric 
Data, Interlaken, pp. 281—305. 
Fuchs, C., 1998. Extraktion polymorpher Bildstrukturen und ihre 
topologische und geometrische Gruppierung. DGK, Bayer. 
Akademie der Wissenschaften, Reihe C, Heft 502. 
Luxen, M., 2003. Variance component estimation in performance 
characteristics applied to feature extraction procedures. In: 
B. Michaelis and G. Krell (eds), Pattern Recognition, 25th 
DAGM Symposium, Magdeburg, Germany, September 10- 
12, 2003, Proceedings, Lecture Notes in Computer Science, 
Vol. 2781, Springer, pp. 498—506. 
Maimone, M. and Shafer, S., 1996. A Taxonomy for Stereo Com- 
puter Vision Experiments. In: ECCV Workshop on Perfor- 
mance Characteristics of Vision Algorithms, pp. 59 — 79. 
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