Full text: Proceedings, XXth congress (Part 3)

  
    
    
   
    
   
    
   
    
   
     
   
    
   
   
   
  
   
    
     
    
  
  
  
    
    
  
   
   
   
    
   
   
    
     
  
   
    
    
  
  
'. Istanbul 2004 
rindow size that 
input for GET 
dows in left (for 
ible to compute 
e two windows. 
1atrices) of left 
0F which is a 
d , maximum 
ind since sensor 
dinates used in 
pace coordinate 
t in size of the 
|. some or all of 
ted point clouds 
  
; from a plate 
  
erent views 
  
  
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV, Part B3. Istanbul 2004 
6.2 3D model of a cellphone 
  
Figure 5. Two selected images taken from a cellphone with a 
small box as calibration object 
ED 
x 
e 
i 
  
Figure 6. Point cloud of surface of cellphone after manual 
filtering of gross errors 
6.3 modeling surface of an egg 
  
Figure 7. Three Images of an egg and an small box as 
calibration object 
  
Figure 9. Final 
3d point cloud of 
a portion of egg 
surface 
Figure 8. One mm contour 
lines of egg surface created 
from final point cloud 
after filtering gross errors 
7. CONCLUSION 
The software test results shows that quality of object point 
cloud in reference coordinates system greatly depends on 
precision of image matching process and finding exact 
conjugate points ,so it is necessary the object surface to be 
textured well . in above mentioned examples (except cellphone) 
the surface of objects were coloured to form a good texture on 
the object surface to support image matching . 
This also can be done by a video projector that projects a 
random noise image on the object surface. 
To check precision of geometric quality in object space ,some 
distances on the created point cloud and on the object compared 
and it proved that if camera calibration results and matching 
process be accurate enough , these results are also reliable. 
8. REFERENCES 
References from Books : 
Tony C.T. Tang ,Digital Image Correlation 
References from Websites : 
A. Malian, F.A. Van del Heuvel ,A. Azizi ‚A Robust 
Photogrammetric System For Wound Measurement 
Ahmed Elkasher , Mohammed Elghazali ,Ashraf Sayed ,Yasser 
Elmanadilli ,Assessment Of Two Cheap Close Range Feature 
Extraction Systems 
C. Rigotti , N.A. Borghese , S. Ferrari , G. Baroni , G. Ferrigno 
Portable And Accurate 3D Scanner For Breast Implants Design 
and Reconstructive Plastic surgery 
Fabio Remondino , 3D Reconstruction Of Articulated Objects 
From Uncalibrated Images 
Fabio Remondino , Image Sequence Analysis for Human Body 
Reconstruction 
Fanq-Jen Chen , Application Of Least Squares Adjustment 
Technique To Geometric Camera Calibration and 
Photogrammetric Flow Visualization 
Ibrahim Zeroual and AbdelKrim Lizaid , Use Of DLT In 
Photogrammetric Metrology 
Jian Xu ,Z.P. Fang, Andrew A. Malcolm,H. Wang , A Robust 
Close Range Photogrammetric system For Industrial Metrology 
Ming Zhou ,Clive S. Fraser , Automated Surface Extraction In 
Real Time Photogrammetry 
Nicola D'Apuzzo ,Human Face Modeling From Multi Images 
Paul Siebert and Stephen Marshall , Human Body 3D imaging 
By Speckle Texture Projection Photogrammetry 
Russel Morison ,Weird and Wonderful Applications Of Close 
Range Digital Photogrammetry 
T.A. Clarke and Dr X. Wang , Extracting High Precision 
Information From CCD Image 
Tim Suthau , John More , Albert Wiedemann and Jens Franzen 
, Close Range Photogrammetry With CCD Cameras and 
Matching Methods Applied To Fracture Surface Of An Iron 
Bolt 
X. Wang and T.A. Clarke , An Algorithmie Method For Real 
Time 3D Measurement 
  
	        
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.