Full text: XVIIIth Congress (Part B5)

  
calibration). The worst ones are of the order of 3cm 
(digitizer + self calibration). 
  
  
  
  
  
  
  
  
  
  
  
Data | Adjust. D, D, D ax M, 
set Type (cm) (cm) (cm) im (pixel) 
I a 1.48 1.38 2.06 | 6.43 (0.76) 
I b 0.92 0.79 1.58 | 4.00 (0.47) 
II a 4.47 | 4.13 6.18 | 19.43(0.78) 
II b 2.96 2.40 | 4.65 | 12.87(0.51) 
  
  
D, RMS value corresponding to the mean variance 
of the check points coordinates(object space) 
D, Mean Standard Deviation of the check points 
coordinates (object space) 
D Maximum Standard Deviation of the check points 
coordinates (object space) 
M, RMS value corresponding to the mean variance, 
calculated with respect to D, (image space) 
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Figure 6. Projections of error ellipsoids for solutions Iib. 
7. CONCLUSIONS 
Many images of buildings of cultural interest are taken by 
architects, historians or others, who are interested in 
Architectural Photogrammetry or just in souvenir 
photography. There is a great potential for such imagery 
taken by accident, and it would be advantageous to use 
this resource in addition to professional photogrammetric 
imagery for the restitution of the world's heritage. Many 
such images are acquired today by low-cost consumer 
products, like camcorders. 
Although camcorders are not intented for photogram- 
metric use, they excibit many useful characteristics (low- 
cost, universal use, portability, no need of special equip- 
ment, inexpensive means for storage of huge amount of 
data, etc) while previous studies have shown that with 
proper system calibration sufficient accuracy for archite- 
ctural tasks can be otained under practical situations. 
The aim of this work is to contribute to the CIPA test "O. 
Wagner Pavillion" with the purpose to describe the state- 
of-the-art in Architectural Photogrammetry. This contri- 
bution consists of demonstrating the user of camcorders 
in architectural recording. It is shown that even such low- 
cost, low-resolution, and  low-geometrical-stability 
systems can give results compatible to those obtained 
under conventional photogrammetric techniques. The 
accuracies obtained is 1 cm with minimal ground control. 
Acknowledgements 
This work has been performed during the stay of the first 
author at ETH, Zurich, as a visiting professor. The access 
to the images, DIPAD system and computer facilities is 
gratefully aknowledged. 
REFERENCES 
Beyer, H., T. Kersten, A. Streilein. 1992. Metric accuracy 
performance of solid-state camera systems, Proc. of SPIE 
OE/Technology'92 - Videometrics conference, Nov, 15- 
20, 1992, Boston, MA., SPIE Vol. 1820, pp. 103-110. 
Gruen, A., 1985. Adaptive Least Squares Correlation: A 
powerful image matching technique, South African 
Joutnal of Photogrammetry, Remote Sensing and 
Cartography, Vol. 14, No. 3, pp. 175-187. 
Patias, P., D. Rossikopoulos, O. Georgoula. 1993. CIPA 
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Streilein, A. and S. Gaschen. 1994. Comparison of a S- 
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Streilein, A., 1993. Application of a S-VHS Camcorder in 
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462 
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B5. Vienna 1996 
  
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