Study on Stereo Vision for 3D Reconstruction of Welding Seam

Jun Du; Ling Yu Yong; Mei Sun; Jia Sheng Ge

doi:10.4028/www.scientific.net/AMR.850-851.212

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 850-851Study on Stereo Vision for 3D Reconstruction of...

Study on Stereo Vision for 3D Reconstruction of Welding Seam

Abstract:

The Monocular stereo vision sensor based on structured light is designed and invented for the detection of the weld seam. By incorporating the structured light, the corresponding points matching problem in the stereo vision has been solved effectively. Firstly, the built monocular stereo vision system is used to obtain the image information of seam surface. Then the image coordinate of the seam feature points in the two-dimensional plane can be identified and extracted, through the responding image processing and feature analysis of the seam image collected. After that, the three-dimensional coordinates are calculated by using the theory of projective geometry according to the positional relation between the CCD camera and structured light projected in the seam surface. By this way, the seam feature information such as the three-dimensional geometry sizes, the groove type, the angle, and the interval can be obtained. Finally, the algorithm performance is tested by the experiment of obtaining the three-dimensional coordinate for seams center points, and the results have proved the detection accuracy and reliability of the visual collection system.

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Periodical:

Advanced Materials Research (Volumes 850-851)

Pages:

212-216

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.850-851.212

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Online since:

December 2013

Authors:

Jun Du, Ling Yu Yong, Mei Sun, Jia Sheng Ge

Keywords:

Mobile Welding Robot, Seam Recognition, Stereo Vision, Three-Dimensional Recovery

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References

[1] Kehong Wang, Hui Cao and Yong Liu: Transactions of the China Welding Institution, vol. 27 (2006) No. 8, pp.1-4. (In Chinese).

Google Scholar

[2] Jianbo Lu, PeiquanXu and Sun Yao.: vol. 27 (2006) No. 4, pp.53-56. (In Chinese).

Google Scholar

[3] David Hestenes, Renatus Ziegler: ActaApplicandaeMathematicae. Vol. 22 (1991), pp.25-63.

Google Scholar

[4] ShafiA: Sensor Review, vol. 24 (2004), pp.337-342.

Google Scholar

[5] ZiQiang YIN, Xin YUAN, GuangJun ZHANG: Intelligent Control and Automation, Vol. 10 (2012), pp.4527-4531.

Google Scholar

[6] Shuai Tong, XiaogangXu and ChengtaoYi: Application Research of Computers, vol. 28 (2011) No. 7, pp.2411-2417.

Google Scholar

[7] Yuan Li, Qinglin Wang, Youfu Li and De Xu: Instrumentation and Measurement Technology Conference, May 2008, p.2038-(2043).

Google Scholar

[8] Zaojun Fang, De Xu and Min Tan: Asme Transactions on Mechatronics, vol. 16 (2011) No. 3, pp.540-550.

Google Scholar