Abstract

This Letter proposes a new strategy of a three-dimensional (3D) scanning pipeline to achieve complete 3D digitization of complex objects in a real scene. This strategy consists of a one-dimensional array of optical 3D sensors combined with an automatically controlled turntable. An efficient calibration method for the sensor array is presented to guarantee the accuracy of the 3D measurement. Furthermore, an automatic registration technique is also proposed for aligning multiple range images taken from sensor array. Experiment results are also presented to demonstrate the proposed approach.

© 2012 Optical Society of America

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References

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2012

Y. Yin, X. Peng, X. Liu, A. Li, and X. Qu, Opt. Commun. 285, 2048 (2012).
[CrossRef]

Y. Yin, X. Peng, A. Li, X. Liu, and B. Gao, Opt. Lett. 37, 542 (2012).
[CrossRef]

2011

2010

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

2006

S. Zhang and P. S. Huang, Opt. Eng. 45, 083601 (2006).
[CrossRef]

2000

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

1995

M. Soucy and D. Laurendeau, IEEE Trans. Pattern Anal. Machine Intell. 17, 344 (1995).
[CrossRef]

1991

1987

Atkinson, K. B.

K. B. Atkinson, Close Range Photogrammetry and Machine Vision (Whittles, 2003).

Chen, X.

Gao, B.

Gorthi, S. S.

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

Guo, L.

Guo, T.

Hartley, R.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. (Cambridge University, 2003).

Horn, B. K. P.

Huang, P. S.

S. Zhang and P. S. Huang, Opt. Eng. 45, 083601 (2006).
[CrossRef]

Laurendeau, D.

M. Soucy and D. Laurendeau, IEEE Trans. Pattern Anal. Machine Intell. 17, 344 (1995).
[CrossRef]

Li, A.

Liu, X.

Ma, H.

Peng, X.

Qu, X.

Y. Yin, X. Peng, X. Liu, A. Li, and X. Qu, Opt. Commun. 285, 2048 (2012).
[CrossRef]

Rastogi, P.

S. S. Gorthi and P. Rastogi, Opt. Lasers 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]

Soucy, M.

M. Soucy and D. Laurendeau, IEEE Trans. Pattern Anal. Machine Intell. 17, 344 (1995).
[CrossRef]

Su, X.

Thesing, J.

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

Towers, C. E.

Towers, D. P.

Yin, Y.

Zhang, S.

Zhang, Z.

Zisserman, A.

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. (Cambridge University, 2003).

Appl. Opt.

IEEE Trans. Pattern Anal. Machine Intell.

M. Soucy and D. Laurendeau, IEEE Trans. Pattern Anal. Machine Intell. 17, 344 (1995).
[CrossRef]

J. Opt. Soc. Am. A

Opt. Commun.

Y. Yin, X. Peng, X. Liu, A. Li, and X. Qu, Opt. Commun. 285, 2048 (2012).
[CrossRef]

Opt. Eng.

S. Zhang and P. S. Huang, Opt. Eng. 45, 083601 (2006).
[CrossRef]

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

Opt. Lasers Eng.

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

Opt. Lett.

Other

K. B. Atkinson, Close Range Photogrammetry and Machine Vision (Whittles, 2003).

R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, 2nd ed. (Cambridge University, 2003).

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Figures (5)

Fig. 1.
Fig. 1.

(a) Schematic diagram of the measurement strategy with a 3D sensor array, and (b) the practical setup in the experiment.

Fig. 2.
Fig. 2.

Schematic diagram of the optical sensor array calibration.

Fig. 3.
Fig. 3.

(a) Error distributions between 3D points and the fitting plate, and (b) the RSD of transformations from optical sensor array in eight angle views.

Fig. 4.
Fig. 4.

(a) Registration of the Buddha head statue, and (b) the distribution registration errors ranging from 0 mm to 0.1 mm.

Fig. 5.
Fig. 5.

3D reconstruction with proposed strategy.

Tables (1)

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Table 1. Running Time for Digitizing the Buddha Head Statue

Equations (5)

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E(k,K,Rc(i),tc(i))=i=1Nj=1Mxijx^(k,K,Rc(i),tc(i),Xj)2,
RsLR(i)=RsL(i)RsR(i)1,tsLR(i)=tsL(i)RsL(i)RsR(i)1tsR(i).
Rpq(i)=RpL(i)RqL(i)1,tpq(i)=tpL(i)RpL(i)RqL(i)1tpL(i).
E(RsW(i),tsW(i))=k=1LXkRsW(i)Xk(i)tsW(i)2.
RSDR(%)=100·s=1SRsW(i)R¯W(i)2/(S1)/R¯W(i),RSDt(%)=100·s=1StsW(i)t¯W(i)2/(S1)/t¯W(i),

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