Calibration of light plane in line structured light sensor based on active vision

Tianfei, 陈天飞 Chen; Zi, 马孜 Ma; Xiang, 吴翔 Wu

doi:10.3788/ope.20122002.0256

Cited by 10 publications

(2 citation statements)

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“…The experiment adopts a camera module composed of 12Mege Pixels CMOS-Sensor and 170°HD wide-angle lens 1080P. The flat 12*9 black and white grid is used as the calibration reference for image distortion correction [8]. The improved GPSO-ILM correction method, the Tasi two-step method and the traditional Zhang's distortion correction method [9] included in OpenCV are respectively used for the contrast experiment of monocular measurement [10].…”

Section: Experiments and Results Analysismentioning

confidence: 99%

Distortion correction algorithm based on GPSO and improved LM

Chen¹,

Wang²

2023

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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In optical cameras, there are deviations in the manufacturing process and assembly accuracy of image sensors, lenses and other related components, which will produce various forms of image distortions, seriously affecting the application and development of Computer Vision (CV) in real life. In order to solve these problems, a hybrid solution algorithm (GPSO-ILM) based on Global Particle Swarm Optimization (GPSO) and improved Levenberg-Marquardt (LM) is proposed on the basis of Homography Transformation, which transforms the solution of nonlinear distortion equations into a parameter optimization problem, and can quickly iterate to obtain the optimal solution of the target function. It can effectively avoid the problems that traditional LM depends on initial values and is easy to fall into local convergence. In order to verify the effectiveness of the algorithm, the improved GPSO-ILM method is compared with the Tasi method of two-steps and traditional Zhang's correction method in OpenCV. The experimental results show that the RMSE errors of the improved GPSO-ILM method are relatively reduced by more than 23% and 18%, and the processing time is saved by about 25%. Compared with other methods, this method has higher correction accuracy and faster processing efficiency.

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Section: Experiments and Results Analysismentioning

confidence: 99%

Distortion correction algorithm based on GPSO and improved LM

Chen¹,

Wang²

2023

Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022)

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“…Other laser-plane calibration methods (Zhang and Zhang, 2017) include the single cylindrical target (Li et al, 2022), cross-ratio unchanged calibration method (Hu et al, 2010), three-point perspective principle (Han et al, 2009), vanishing point calculation, circular targets (Gong et al, 2017) and cylindrical object (Zhu et al, 2020). Chen et al, 2012b) proposed an optical plane calibration method based on the active vision technique to realize the automatic calibration of line-structured light sensors, and their method accomplished the calibration in two steps by controlling the sensor to perform some translational motions. Yang et al (2014) proposed a plane calibration target that can be arbitrarily placed, and they fitted the laser plane according to the trigonometry principle and invariance of the cross-ratio to achieve high-precision calibration.…”

Section: Introductionmentioning

confidence: 99%

A unified calibration method of 3D laser profile measurement with different of laser-line lengths

Liu²,

Liu³

2023

RIA

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Purpose Existing calibration methods mainly focus on the camera laser-plane calibration of a single laser-line length, which is not convenient and cannot guarantee the consistency of the results when several three-dimensional (3D) scanners are involved. Thus, this study aims to provide a unified step for different laser-line length calibration requirements for laser profile measurement (LPM) systems. Design/methodology/approach 3D LPM is the process of converting physical objects into 3D digital models, wherein camera laser-plane calibration is critical for ensuring system precision. However, conventional calibration methods for 3D LPM typically use a calibration target to calibrate the system for a single laser-line length, which needs multiple calibration patterns and makes the procedure complicated. In this paper, a unified calibration method was proposed to automatically calibrate the camera laser-plane parameters for the LPM systems with different laser-line lengths. The authors designed an elaborate planar calibration target with different-sized rings that mounted on a motorized linear platform to calculate the laser-plane parameters of the LPM systems. Then, the camera coordinates of the control points are obtained using the intersection line between the laser line and the planar target. With a new proposed error correction model, the errors caused by hardware assembly can be corrected. To validate the proposed method, three LPM devices with different laser-line lengths are used to verify the proposed system. Experimental results show that the proposed method can calibrate the LPM systems with different laser-line lengths conveniently with standard steps. Findings The repeatability and accuracy of the proposed calibration prototypes were evaluated with high-precision workpieces. The experiments have shown that the proposed method is highly adaptive and can automatically calibrate the LPM system with different laser-line lengths with high accuracy. Research limitations/implications In the repeatability experiments, there were errors in the measured heights of the test workpieces, and this is because the laser emitter had the best working distance and laser-line length. Practical implications By using this proposed method and device, the calibration of the 3D scanning laser device can be done in an automatic way. Social implications The calibration efficiency of a laser camera device is increased. Originality/value The authors proposed a unified calibration method for LPM systems with different laser-line lengths that consist of a motorized linear joint and a calibration target with elaborately designed ring patterns; the authors realized the automatic parameter calibration.

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