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

on the wire frame 
rtexes for a polygon 
1e wire frame model 
ır cameras for digital 
, lens distortions for 
ns distortion can be 
ree model. As a next 
id it can be seen that 
| with the increase of 
lel 
  
  
lel 
[lion digital cameras 
mateur cameras and 
e same value. Image 
vious difference of 
pixels can be found. 
t difference between 
re, the low-cost 
oped by the authors 
an be obtained with 
deling of important 
vith 3 million digital 
application of low- 
lon amateur cameras 
al cameras, and low- 
e to the development 
1ds. 
However, there is issue which need to be resolved before this 
system may become more operational. This problem is previous 
calibration for interior orientation, and this bottleneck issue 
should be removed for further operational development of the 
low-cost system. 
REFERENCES 
Anai T., Chikatsu H. and Murai S., 1998, Development of 
digital video camera and application for human motion analysis, 
International archives of photogrammetry and remote sensing, 
Vol.32, Part 5, pp.392-395. 
Fryer J. G. and Brown D.C., 1986, Lens Distortion for Close- 
Range Photogrammetry, Photogrammetric Engineering and 
Remote Sensing, Vol.52, No.1, pp. 51-58. 
Kunii Y., Chikatsu H, 2001, On the Application of 3 Million 
Consumer Pixel Camera to Digital Photogrammetry, 
Videometrics and Optical Methods for 3D Shape Measurement, 
Proceeding of SPIE, Vol. 4309, pp.278-287. 
Seitz P., Vietze O. and Spirig T., 1995, From pixels to answer- 
Recent developments and trends in electronic imaging, 
International archives of photogrammetry and remote sensing, 
Vol.30, Part SW1, pp.2-12. 
Yamada N. and Chikatsu H., 1998, On the application of 
CMOS image sensor to digital photogrammetry, International 
archives of photogrammetry and remote sensing, Vol.32, Part 5, 
pp.185-188. 
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