Full text: Close-range imaging, long-range vision

  
   
ill 
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TRO-—— VERDE OSCURC 
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erating conditions 
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‚amera is to know 
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ntee right values 
taking the mean or the median. Another matter is the selection 
and application of robust estimators in the adjustment. 
6. CONCLUSIONS 
The most difficult task when using CCD progressive video 
cameras for measuring is to know which image should be 
captured, or how many images we need for averaging. 
Results obtained from this study show that the reliability on 
video cameras is very poor. Whatever parameter is analysed, 
the variability exists and could not be tolerable. Although there 
are many ways to calibrate cameras, the problem itself is the 
non-metric video camera, and not the right methodology of 
geometric calibration. Otherwise, this study would have shown 
promising results in these aspects. 
7. REFERENCES 
Dermanis, A., 1994. Free network solutions with the DLT 
method. ISPRS Journal of Photogrammetry and Remote 
Sensing, 49(2), pp. 2-12. 
Fraser, C. S., 1997. Digital camera self-calibration. ISPRS 
Journal of Photogrammetry and Remote Sensing, 52, pp.149- 
159. 
Gruen, A. Huang, T. S.(Eds), 2001. Calibration and 
Orientation of Cameras in Computer Vision. Springer-Verlag, 
Berlin, Heidelberg. 
Lerma, J. L., 2002. Fotogrametría Moderna: Analítica y 
Digital. Editorial de la Universidad Politécnica de Valencia, 
Valencia. 
8. ACKNOWLEDGEMENTS 
The research reported was partly sponsored by the Generalitat 
Valenciana, reference number GV00-091-6. The authors would 
like to acknowledge the financial support. 
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