Full text: XVIIIth Congress (Part B3)

  
   
   
   
   
    
  
  
  
   
    
   
   
  
  
   
    
     
    
   
  
  
  
   
      
     
  
     
   
   
    
   
   
  
  
    
   
   
  
of a pre-processing reducing the number of channels used 
as input for FAST Vision before applying FAST Vision 
has to be examined. This pre-processing should be able 
to extract the maximum information of all channels of a 
picture on one hand and reduce the number of channels 
used as input for FAST Vision on the other. The results 
of the experiments shown in this paper indicate that this 
will be possible in many cases. 
Acknowledgement 
This research work was supported by Deutsche 
Forschungsgemeinschaft (German Research Foundation) 
6. References 
Kaiser, B., Schmolla, M., Wrobel, B., 1992: Application 
of Image Pyramid for Surface Reconstruction 
with FAST Vision (=Facets Stereo Vision), 
International Archives of Photogrammetry and 
Remote Sensing, Vol. 29, Part B3, pp. 341-345. 
Kempa, M., Wrobel, B., Weisensee, M., 1990: 
Convolutional Approaches for Target Location 
by Digital Photogrammetry, International 
Archives of Photogrammetry and Remote 
Sensing, Vol. 29, Part 3/2, S. 346-357, Wuhan 
1990. 
Kempa, M., 1995: Hochaufgelöste Oberflächenbestimm- 
ung und Orientierung von Bildern mit dem 
Facetten-Stereosehen, Dissertation, Technische 
Hochschule Darmstadt. 
Weisensee, M., Wrobel,B., 1991: State-of-the-Art of 
Digital Image Matching for Object 
Reconstruction, in: Ebner, Fritsch, Hepike (ed.), 
Digital Photogrammetric Systems, Herbert 
Wichmann Verlag, Karlsruhe. 
Weisensee, M., 1992: Modelle und Algorithmen für das 
Facetten-Stereosehen, Deutsche Geoditische 
Kommission, Reihe C, Nr. 374, München. 
Wrobel, B. 1987: Facets Stereo Vision (FAST Vision) - A 
New Approach to Computer Stereo Vision and to 
Digital Photogrammetry, Intercommission 
Conference of International Society for 
Photogrammetry and Remote Sensing on Fast 
Processing of Photogrammetric Data, Interlaken, 
Switzerland. 
Wrobel, B., Kaiser, B., Hausladen, J., 1992a: Adaptive 
Regularization - A New Method for Surface 
Reconstruction from Images, International 
Archives of Photogrammetry and Remote 
Sensing, Vol. 29, Part B3, pp. 824-831. 
964 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B3. Vienna 1996 
Wrobel, B., Kaiser, B., Hausladen, J., 1992b: Adaptive 
Regularization of Surface Reconstruction by 
Image Inversion, in: Robust Computer Vision, 
Förstner, W., Ruwiedel, S., Herbert Wichmann 
Verlag, Karlsruhe. 
   
A] 
Ra 
sel 
le 
int 
Fi 
by 
Es 
Zu 
ei 
ab 
Ini 
Er 
gk 
  
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.