A global solution of laser plane using the reconstructed distance from coordinate axis to calibration points

Xu, Guolin; Yuan, Jing; Li, Xiaotao; Su, Jian; Hao, Zhaobing

doi:10.1016/j.rinp.2016.08.019

Cited by 2 publications

(6 citation statements)

References 7 publications

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“…Thus, it lacks flexibility for on-site calibration. A series of LTS calibration methods that use geometry targets are proposed by Xu’s group [ 16 , 17 , 18 , 19 ]. A common feature of [ 16 , 17 , 18 , 19 ] is that a 3D chessboard box is used to solve the extrinsic parameters of the camera.…”

Section: Related Workmentioning

confidence: 99%

“…A series of LTS calibration methods that use geometry targets are proposed by Xu’s group [ 16 , 17 , 18 , 19 ]. A common feature of [ 16 , 17 , 18 , 19 ] is that a 3D chessboard box is used to solve the extrinsic parameters of the camera. In this way, the laser plane can be localized by intersecting with height gauges [ 16 , 17 ] and end-fixed sticks [ 18 , 19 ].…”

Section: Related Workmentioning

confidence: 99%

“…A common feature of [ 16 , 17 , 18 , 19 ] is that a 3D chessboard box is used to solve the extrinsic parameters of the camera. In this way, the laser plane can be localized by intersecting with height gauges [ 16 , 17 ] and end-fixed sticks [ 18 , 19 ]. The drawback of [ 16 , 17 , 18 , 19 ] is that the 3D chessboard box has a relatively large size.…”

Section: Related Workmentioning

confidence: 99%

“…Although some camera intrinsic matrix-free methods are proposed [ 16 , 17 , 18 , 19 , 20 ], the auxiliary devices such as 3D chessboard boxes [ 16 , 17 , 18 , 19 ] and guide rails [ 20 ] that have to be fixed on the ground are used in the calibration process. The need for such auxiliary devices makes the camera intrinsic matrix-free methods [ 16 , 17 , 18 , 19 , 20 ] impractical for on-site calibration.…”

Section: Introductionmentioning

confidence: 99%

“…The designed 1D target has three colinear feature points and the LTS can be calibrated based on the geometry constraint of the target. In contrast to the traditional methods that rely on the precise camera intrinsic matrix [ 1 , 2 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ] or methods that use auxiliary devices [ 16 , 17 , 18 , 19 , 20 ], we formulate the LTS calibration as an optimization problem without the need for either of them. More precisely, many equivalent pairs of the camera intrinsic matrix and the equation of the laser plane can be solved by optimization, simultaneously.…”

Section: Introductionmentioning

confidence: 99%

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A Camera Intrinsic Matrix-Free Calibration Method for Laser Triangulation Sensor

Chen

et al. 2021

Sensors

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Laser triangulation sensors (LTS) are widely used to acquire depth information in industrial applications. However, the parameters of the components, e.g., the camera, of the off-the-shelf LTS are typically unknown. This makes it difficult to recalibrate the degenerated LTS devices during regular maintenance operations. In this paper, a novel one-dimensional target-based camera intrinsic matrix-free LTS calibration method is proposed. In contrast to conventional methods that calibrate the LTS based on the precise camera intrinsic matrix, we formulate the LTS calibration as an optimization problem taking all parameters of the LTS into account, simultaneously. In this way, many pairs of the camera intrinsic matrix and the equation of the laser plane can be solved and different pairs of parameters are equivalent for displacement measurement. A closed-form solution of the position of the one-dimensional target is proposed to make the parameters of the LTS optimizable. The results of simulations and experiments show that the proposed method can calibrate the LTS without knowing the camera intrinsic matrix. In addition, the proposed approach significantly improves the displacement measurement precision of the LTS after calibration. In conclusion, the proposed method proved that the precise camera intrinsic matrix is not the necessary condition for LTS displacement measurement.

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