Abstract

An optical measurement method for large-scale and shell-like objects is proposed and is verified by experiments. The underlying concept is a model-based optical measurement network consisting of multinode three-dimensional (3D) sensors. To achieve this, a synthetic calibration method is presented to enable the measurement. A phase-aided active stereoscopy is thus applied to each node sensor for acquiring partial range images from different viewpoints. The multiple range images are then registered to obtain a 3D reconstructed model, which is compared with the computer-aided design (CAD) model to quantitatively reveal the differences between the two models. Experiment results are also presented to validate the proposed approach.

© 2011 Optical Society of America

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References

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    [CrossRef]
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    [CrossRef]

2010

S. Gorthi and P. Rastogi, Opt. Laser Eng. 48, 133 (2010).
[CrossRef]

2004

F. Blais, J. Electron. Imaging 13, 231 (2004).
[CrossRef]

2000

F. Chen, G. M. Brown, and M. Song, Opt. Eng. 39, 10 (2000).
[CrossRef]

Z. Zhang, IEEE Trans. Pattern Anal. Mach. Intell. 22, 1330(2000).
[CrossRef]

C. Reich, R. Ritter, and J. Thesing, Opt. Eng. 39, 224 (2000).
[CrossRef]

1992

P. J. Besl and N. D. McKay, IEEE Trans. Pattern Anal. Mach. Intell. 14, 239 (1992).
[CrossRef]

1987

R. Y. Tsai, IEEE J Robot Autom . 3, 323 (1987).
[CrossRef]

Besl, P. J.

P. J. Besl and N. D. McKay, IEEE Trans. Pattern Anal. Mach. Intell. 14, 239 (1992).
[CrossRef]

Blais, F.

F. Blais, J. Electron. Imaging 13, 231 (2004).
[CrossRef]

Brown, G. M.

F. Chen, G. M. Brown, and M. Song, Opt. Eng. 39, 10 (2000).
[CrossRef]

Chen, F.

F. Chen, G. M. Brown, and M. Song, Opt. Eng. 39, 10 (2000).
[CrossRef]

Fitzgibbon, A.

B. Triggs, P. McLauchlan, R. Hartley, and A. Fitzgibbon, in Vision Algorithms: Theory and Practice (Springer, 2000), Vol. 1883, p. 153.

Gorthi, S.

S. Gorthi and P. Rastogi, Opt. Laser Eng. 48, 133 (2010).
[CrossRef]

Hartley, R.

B. Triggs, P. McLauchlan, R. Hartley, and A. Fitzgibbon, in Vision Algorithms: Theory and Practice (Springer, 2000), Vol. 1883, p. 153.

R. Hartley and A. Zisserman (Cambridge U. Press, 2003).

McKay, N. D.

P. J. Besl and N. D. McKay, IEEE Trans. Pattern Anal. Mach. Intell. 14, 239 (1992).
[CrossRef]

McLauchlan, P.

B. Triggs, P. McLauchlan, R. Hartley, and A. Fitzgibbon, in Vision Algorithms: Theory and Practice (Springer, 2000), Vol. 1883, p. 153.

Rastogi, P.

S. Gorthi and P. Rastogi, Opt. Laser Eng. 48, 133 (2010).
[CrossRef]

Reich, C.

C. Reich, R. Ritter, and J. Thesing, Opt. Eng. 39, 224 (2000).
[CrossRef]

Ritter, R.

C. Reich, R. Ritter, and J. Thesing, Opt. Eng. 39, 224 (2000).
[CrossRef]

Song, M.

F. Chen, G. M. Brown, and M. Song, Opt. Eng. 39, 10 (2000).
[CrossRef]

Thesing, J.

C. Reich, R. Ritter, and J. Thesing, Opt. Eng. 39, 224 (2000).
[CrossRef]

Triggs, B.

B. Triggs, P. McLauchlan, R. Hartley, and A. Fitzgibbon, in Vision Algorithms: Theory and Practice (Springer, 2000), Vol. 1883, p. 153.

Tsai, R. Y.

R. Y. Tsai, IEEE J Robot Autom . 3, 323 (1987).
[CrossRef]

Zhang, Z.

Z. Zhang, IEEE Trans. Pattern Anal. Mach. Intell. 22, 1330(2000).
[CrossRef]

Zisserman, A.

R. Hartley and A. Zisserman (Cambridge U. Press, 2003).

IEEE J Robot Autom

R. Y. Tsai, IEEE J Robot Autom . 3, 323 (1987).
[CrossRef]

IEEE Trans. Pattern Anal. Mach. Intell.

Z. Zhang, IEEE Trans. Pattern Anal. Mach. Intell. 22, 1330(2000).
[CrossRef]

P. J. Besl and N. D. McKay, IEEE Trans. Pattern Anal. Mach. Intell. 14, 239 (1992).
[CrossRef]

J. Electron. Imaging

F. Blais, J. Electron. Imaging 13, 231 (2004).
[CrossRef]

Opt. Eng.

C. Reich, R. Ritter, and J. Thesing, Opt. Eng. 39, 224 (2000).
[CrossRef]

F. Chen, G. M. Brown, and M. Song, Opt. Eng. 39, 10 (2000).
[CrossRef]

Opt. Laser Eng.

S. Gorthi and P. Rastogi, Opt. Laser Eng. 48, 133 (2010).
[CrossRef]

Other

R. Hartley and A. Zisserman (Cambridge U. Press, 2003).

B. Triggs, P. McLauchlan, R. Hartley, and A. Fitzgibbon, in Vision Algorithms: Theory and Practice (Springer, 2000), Vol. 1883, p. 153.

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Figures (3)

Fig. 1
Fig. 1

Schematic diagram of measurement network with three-node sensors.

Fig. 2
Fig. 2

Autoreconstruction of the Tri-NSOMN with bundle adjustment.

Fig. 3
Fig. 3

Experiment results. (a) Reconstructed 3D model from measured range data, (b) comparison with CAD model (color bar unit is millimeters).

Tables (1)

Tables Icon

Table 1 Standard Deviation of Residual Errors for Assessing the Accuracy of the Tri-NSOMN

Equations (7)

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x i j = K [ R c i | t c i ] X j ,
x k j Fx i j = 0 ,
K T FK = E ,
E = [ t c i ] × R c i ,
{ x i j = K [ R c i | t c i ] X j x k j = K [ R c k | t c k ] X j .
RE = i = 1 N j = 1 M x i j x ^ ( ε r , ε t , K , R c i , t c i , X j ) 2 ,
{ x = K L [ I | 0 ] X x = K R [ R | t ] X ,

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