Three-Dimensional Information Acquisition Based on Artificial Compound Eye Vision System

Ai Hua Chen; Bing Wei He; Cheng Hui Gao

doi:10.4028/www.scientific.net/AMM.678.290

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 678Three-Dimensional Information Acquisition Based on...

Three-Dimensional Information Acquisition Based on Artificial Compound Eye Vision System

Abstract:

In this paper, the artificial compound eye vision system is used to develop an effective algorithm for acquiring 3D information of object. According to compound eye vision system constructed, the imaging principle and correlation between the object point and the imaging point is analyzed. Then the cross correlation matching algorithm is present to extract the depth and obtain the 3D information. The influence factors such as number of matched elemental images and matching window size are considered and analyzed. The experimental is implemented to verify the validity of the proposed method.

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Periodical:

Applied Mechanics and Materials (Volume 678)

Pages:

290-294

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.678.290

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Online since:

October 2014

Authors:

Ai Hua Chen, Bing Wei He, Cheng Hui Gao*

Keywords:

Compound Eye, Cross-Correlation, Depth Extracting, Three-Dimensional Information Acquisition

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* - Corresponding Author

References

[1] M. F. Land, Nature, vol. 287 (1980), p.681.

Google Scholar

[2] Ryoichi HORISAKI, Satoru IRIE, Yusuke OGURA, and Jun TANIDA, OPTICAL REVIEW Vol. 14, No. 5 (2007) p.347.

Google Scholar

[3] J. -H. Park, S. -W. Min, S. Jung, and B. Lee, in Algorithms and Systems for Optical Information Processing V, B. Javidi and D. Psaltis, eds., Proc. SPIE 4471, (2001) pp.73-80.

Google Scholar

[4] J. Tanida, T. Kumagai, K. Yamada, S. Miyatake, K. Ishida, T. Morimoto, N. Kondou, D. Miyazaki, and Y. Ichioka, Appl. Opt., vol. 40, no. 11 ( 2001) p.1806.

DOI: 10.1364/ao.40.001806

Google Scholar

[5] R. Ng, M. Levoy, M. Bredif, G. Duval, M. Horowitz, and P. Hanrahan, Stanford Univ., Stanford, CA, USA, Comput. Sci. Tech. Rep. 2005-02, (2005).

Google Scholar

[6] B. Aldalali, C. Li, L. Zhang, and H. Jiang, J. Microelectromech. Syst., vol. 21, no. 4, (2012) p.945.

Google Scholar

[7] M. Levoy, IEEE Computer, vol. 8, (2006) p.46.

Google Scholar

[8] F. Okano, H. Hoshino, J. Arai, and I. Yuyama, Appl. Opt. 36, (1997) p.1598.

Google Scholar