Full text: XIXth congress (Part B5,1)

  
Chapman, David 
  
6 CONCLUSIONS 
The Biris system has demonstrated that it is capable of range data recovery from a variety of common surfaces 
encountered in an industrial setting. Whilst its short baseline configuration means that it will never be capable of 
millimetric precision over 2-3m stand-off distances it does, never-the-less, enable surface recovery with similar 
precision to those quoted by the manufacturers of time-of-flight systems. It's compact, robust construction together with 
lightweight means that such a system would form a very useful additions to the industrial surveyors toolbox. 
The recovery of geometric entities from these range images still remains a semi-automatic task. However, the random- 
sampling strategy describe appears very robust to the noise typically found in such systems when used on a wide variety 
of surfaces. With the ever-increasing power of desktop computers such ‘brute-force’ strategies offer considerable 
potential for further development. 
  
Figure 11. Extracts from a partial VRML model with texture-mapped planar surfaces, cylinders and sub-sampled 
portions of the original point-cloud. 
REFERENCES 
Beraldin, J.-A., Blais, F., Cournoyer, L., Rioux, M., Bernier, F., & Harrison, N., 1998. Portable digital 3-d imaging 
system for remote sites. The 1998 IEEE International Symp. on Circuit and Systems, Monterey, CA, USA: 326-333. 
May 31-June 3, 1998. 
Beraldin, J.A. Blais, F., Cornouyer, L., Rioux, M., El-Hakim, S., 1999. 3D imaging for rapid response on remote sites, 
SIGGRAPH 99 Technical Sketches, pp. 225, Los Angeles, August 8-13. 
Blais, F., LeCavalier, M., Domey, J. Boulanger, P., Courteau, J., 1992. Application of the Biris range sensor for wood- 
volume measurement. NRC Tech. Report NRC/ERB-1038. 
Chapman, D. & Deacon, A., 1997. The role of spatially indexed image archives for "As-Built" modelling of large 
process plant facilities. Optical 3-D measurement techniques IV, Wichmann, Heidelberg. 300 pages: 475-482. 
El-Hakim, S.F., Beraldin, J. -A., 1994. On the integration of range and intensity data to improve vision-based three- 
dimensional measurements, SPIE Proc., Vol. 2350, Videometrics III, pp. 306-321. 
El-Hakim, S.F., Boulanger, P., Blais, F, Beraldin, J.-A., 1997. "A system for indoor 3D mapping and virtual 
environments, SPIE Proc., Vol. 3174, Videometrics V, pp. 21-35. 
Feedema, J.T. & Little, C.Q., 1997. Rapid world modelling: Fitting Range Data to Geometric Prmitives. Proc. IEEE 
Int.Conf. on Robotics and Automation, Alberquerque, New Mexico, April 1997, pp 2807-2812. 
Johnson, A.E., Hoffman, R., Osborn, J., Hebert, M., 1997. A System for semi-automatic modeling of complex 
environments, Proc. International Conference on Recent Advances in 3-D Digital Imaging and Modeling, Ottawa, pp. 
213-220. 
Miyatsuka, Y., Chen, X., Takahashi, Y., 1998. Archaeological 3D GIS for virtual museum in Damascus", Proc. ISPRS 
Comm. V, pp. 348- 355, Hakodate, Japan. 
Rioux, M., 1984. Laser range finder based on synchronized scanners, Applied Optics, 23, 3837-3844. 
Roth, G., 1993. Extracting geometric primitives. CVGIP: ImageUnderstanding. Vol 58, No 1, July 1993, pp 1-22. 
  
International Archives of Photogrammetry and Remote Sensing. Vol. XXXIII, Part B5. Amsterdam 2000. 129 
 
	        
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