on parame-
jector
|
4
-04
-07
-09
-03
-03
bundle ad-
surement of
camera and
IT
the projec-
intersection
ctive image
iced on the
ition of one
pointing of
en the two
vertical and
for scaling
N Laser array co-ordinates +
Projector calibration +
Geodimeter angles (H,V)
Image co-ordinate (i,j) + /
Camera calibration + /
Gcodimeter angles (H,V)^
AY i Ay
/ D
[x, y, z] ———" A
Z CCD camera zZ Laser projector
Figure 13: Spatial intersection for position estimation.
the intersection result. Different measurements to derive di-
rections of any object point from the two positions contain
observational and modelling errors, so exact intersection of
all these rays is very difficult. In this system, estimation of
the position of a target point is done by defining the middle
point of the line normal to the two supposedly intersecting
rays as shown in Figure 13. An intersection parallax 0.25 mm
was observed during a laboratory test scan of an object at
4.5 m distance.
5 CONCLUSION
Simultaneous projection of a large number of distinct tar-
get points by diffraction grating based laser diode projector
provides high accuracy for automatic measurement of a tex-
tureless object. Development of a camera model for the pro-
jector, treating it as a virtual camera, improves intersection
accuracy during three dimensional object space co-ordinate
measurement as various distortions are taken into account.
There is no requirement for a three dimensional testfield for
calibration of the projector and the camera which can be done
in the field with the help of two known target points. Motor
driven sensors can be handled remotely to scan large areas of
object space. The knowledge of regularity of the dot matrix
over a nearly flat object surface and the results of a suit-
able threshold for an uniform textured object surface may be
used as initial estimates for fully automatic image co-ordinate
measurements by least squares based template matching.
REFERENCES
[Allan, 1993] A.L. Allan, 1993. Practical surveying and com-
putations (2nd edition). Butterworth - Heinemann Ltd.,
Oxford (England): 573 pages.
[Beyer, 1992] H. A. Beyer, 1992. Geometric and radiometric
analysis of a CCD-camera based photogrammetric close-
range system. Ph. D. thesis, ETH, Zurich: 186 pages.
[Chapman et al., 1992] D. P. Chapman, A. T. D. Deacon
and A. Hamid, 1992. CAD modelling of radioactive plant:
the role of digital photogrammetry in hazardous nuclear
environments. /nternational Archives of Photogrammetry
and Remote Sensing, 29(5): 741-753.
[Clarke & Katsimbris, 1994] T. A. Clarke and A. Katsimbris,
1994. The use of diode laser collimators for targetting 3-
D objects. /nternational Archives of Photogrammetry and
Remote Sensing, 30(5): 47-55.
545
[Day & Muller, 1989] T. Day and J. P. Muller, 1989. Digital
elevation model production by stereomatching of SPOT
image-pairs: a comparison of algorithms. Image and Vision
Computing, 7(2): 95-101.
[El-Hakim, 1985] S. F. El-Hakim, 1985. A photogrammet-
ric vision system for robots. Photogrammetric Engineering
and Remote Sensing, 51(5): 545-552.
[Ethrog, 1991] U. Ethrog, 1991. Rasterstereography and
double rasterstereography; two methods for measuring
fast dynamic changes in laboratory model surfaces. ISPRS
Journal of Photogrammetry and Remote Sensing, 46(5):
269-282.
[Gruen, 1985] A. W. Gruen, 1985. Adaptive least squares
correlation: a powerful image matching technique. South
African Journal of Photogrammetry, Remote Sensing and
Cartography, 14(3): 175-187.
[Huang & Harley, 1990] Y. D. Huang and |. Harley, 1990.
CCD-camera calibration without a control field. Close
Range Photogrammetry Meets Machine Vision, SPIE,
1395(2): 1028-1034.
[Hurteau et al., 1991] R. Hurteau, M. St-Amant, Y. Laper-
riere, G. Chevrette, and A. Piche, 1991. Optically guided
LHD: a demonstration prototype. Proceedings of Inter-
national Mine Mechanisation & Automation, Colorado
School of Mines, USA: 6-11 to 6-20.
[Keran & Hendricks] C. M. Keran and P. A. Hendricks, 1995.
Automation and safety of mobile equipment. Engineering
and Mining Journal, 196(2): 30-33.
[Maerz et al., 1990] N. H. Maerz, J. A. Franklin and C.
P. Bennett, 1990. Joint roughness measurement using
shadow profilometry. International Journal of Rock Me-
chanics, Mining Sciences and Geomechanics Abstracts,
27(5): 329-345.
[Mason, 1995] S. O. Mason, 1995. Conceptual model of the
convergent multistation network configuration task. Pho-
togrammetric record, 15(86): 277-299.
[Otto & Chau, 1989] G. P. Otto and T. K. W. Chau, 1989. A
'region-growing' algorithm for matching of terrain images.
Image and Vision Computing, 7(2): 83-94.
[Singh et al., 1991] A. Singh, M. Scoble, Y. Lizotte and
G. Crowther, 1991. Characterisation of underground rock
fragmentation. Geotechnical and Geological Engineering,
9: 93-107.
[Singh et al., 1995] R. Singh, D. P. Chapman and K. B.
Atkinson, 1995. CCD based active triangulation for rock
surface measurement. Videometrics IV, SPIE 2598, S. F.
El-Hakim (Editor): 233-244.
[Trinder, 1989] J. C. Trinder 1989. Precision of digital target
location. Photogrammetric Engineering and Remote Sens-
ing, 55(6): 883-886.
[Trinder et al., 1995] J. C. Trinder, J. Jansa and Y. Huang,
1995. An assessment of the precision and accuracy of
methods of digital target location. ISPRS Journal of Pho-
togrammetry and Remote Sensing, 50(2): 12-20.
[Trucco et al., 1994] E. Truccco, R. B. Fisher, and A. W.
Fitzgibbon, 1994. Direct calibration and data consistency
in 3-D laser scanning. Proceedings of 5th British Machine
Vision Conference, E. R. Hancock (Editor), BMVA Press
(UK): 489-498.
International Archives of Photogrammetry and Remote Sensing. Vol. XXXI, Part B5. Vienna 1996