&lt;title&gt;Calibration of structured-light sensor for multivisual inspection system&lt;/title&gt;

Feng, Keyou; Ming, Luo

doi:10.1117/12.189149

SPIE Proceedings

1994

DOI: 10.1117/12.189149

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<title>Calibration of structured-light sensor for multivisual inspection system</title>

Keyou Feng

Luo Ming

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3D Double-Vision Inspection Based on Structured Light

Zhang

Wei

2003

Journal of Manufacturing Science and Engineering

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3D double-vision inspection is very necessary. It has a larger field of view, and can solve the problem of “blind area” for 3D measurement, as proposed by 3D single-vision inspection. At the beginning of this paper, the principle of structured-light based 3D vision inspection is introduced. Then, a method of gaining calibration points for 3D double-vision inspection system is proposed in detail. In order to gain calibration points with high precision, a double-directional photoelectric aiming device is designed as well, and a method for compensating the position-setting error of the aiming device is described. The coordinates of all calibration points are precisely unified in a world coordinate system. The application of RBF (radial basis function) neural network in establishing the inspection model of structured-light based 3D vision is described in detail. Finally, with the use of the calibration points, the inspection model of 3D double-vision based on RBF neural network is successfully established. The model’s training accuracy is 0.078 mm, and the testing accuracy is 0.084 mm.

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3D Double-Vision Inspection Based on Structured Light

Zhang

Wei

2003

Journal of Manufacturing Science and Engineering

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<title>Calibration of structured-light sensor for multivisual inspection system</title>

Cited by 1 publication

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3D Double-Vision Inspection Based on Structured Light

3D Double-Vision Inspection Based on Structured Light

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