A Binocular Vision System for Underwater Target Detection

Abstract:

For the underwater target detecting task, a binocular vision system specialized to the underwater optical environment is proposed. The hardware platform is comprised of a image acquising unit, a image processing unit and a upper computer. Accordingly, the loaded software system is operated for the camera calibration, image preprocessing, feature point extraction, stereo matching and the three-dimensional restoration. The improved Harris operator is introduced for the three-dimensional reconstruction, considering the high scattering and strong attenuation by the underwater optical environment. The experiment results prove that the improved Harris operator is better adapt to the complex underwater optical environment and the whole system has the ability to obtain the three-dimensional coordinate of the underwater target more efficient and accurate.

• Periodical: Applied Mechanics and Materials (Volumes 347-350)
• Pages: 883-890
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.347-350.883
• Online since: August 2013
• Authors: Jie Shen, Hong Ye Sun, Hui Bin Wang, Zhe Chen, Yi Wei
• Keywords: Binocular Vision, Feature Matching, Recovery of 3 d Coordinate, Underwater Target Detection

References

[1] Morales, R.; Pereira, D.; , Prototype of Stereoscopic Vision System to Improve the Image Quality in Turbid Waters during Underwater Inspections, OCEANS 2006 , Sept. 2006, pp.1-4, 18-21, doi: 10. 1109/OCEANS. 2006. 306786.

DOI: 10.1109/oceans.2006.306786

[2] T. Hanning, A. Lasaruk, T. Tatschke. Calibration and Low-Level Data Fusion Algorithms for a Parallel 2D/3D-Camera, Information Fusion, Vol. 12, Jan. 2011, pp.37-47.

DOI: 10.1016/j.inffus.2010.01.006

[3] H. Aliakbarpour, J. Dias, Three-dimensional reconstruction based on multiple virtual planes by using fusion-based camera network, Computer Vision, IET, vol. 6, July. 2012, no. 4, pp.355-369, doi: 10. 1049/iet-cvi. 2011. 0078.

DOI: 10.1049/iet-cvi.2011.0078

[4] C. Beall, B.J. Lawrence, V. Ila, F. Dellaert, 3D reconstruction of underwater structures, Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on, Oct. 2010, pp.4418-4423, 18-22, doi: 10. 1109/IROS. 2010. 5649213.

DOI: 10.1109/iros.2010.5649213

[5] Camilli, R.; Bowen, A.; Farr, N.; , Bright blue: Advanced technologies for marine environmental monitoring and offshore energy, OCEANS 2010 IEEE - Sydney , May. 2010, pp.1-7, 24-27, doi: 10. 1109/OCEANSSYD. 2010. 5.

DOI: 10.1109/oceanssyd.2010.5603892

[6] Z. Zhang, A flexible new technique for camera calibration, Pattern Analysis and Machine Intelligence, IEEE Transactions on , vol. 22, Nov. 2000, pp.1330-1334, doi: 10. 1109/34. 888718.

DOI: 10.1109/34.888718

[7] Y.J. Zhang, Image Engineering(1) Image Processing, 2nd ed., tsinghua: Beijing, 2006, pp.151-153.

[8] W.J. Zhao, S.R. Gong, C.P. Liu, X.J. Shen, Adaptive Harris Corner Detection Algorith, Computer Engineering, Vol. 34, May. 2008, pp.212-217, doi: 1000-3428(2008)10-0212-03.

[9] G.H. Wang, Q.M.J. Wu, H. Wei, Structure and motion factorization under quasi-perspective projection with missing data in tracking matrix, Pattern Recognition, 2008. ICPR 2008. 19th International Conference on , Dec. 2008, pp.1-4.

DOI: 10.1109/icpr.2008.4761345