A Vision Measurement Method for the Gear Shaft Radial Runout With Line Structured Light

Miao, Jianwei; Tan, Qing; Wang, Shun; Liu, Siyuan; Chai, Bin; Li, Xianbao

doi:10.1109/access.2020.3047645

Cited by 9 publications

(3 citation statements)

References 23 publications

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“…(5) Computing the intersection points of the above two lines on the images. (6) Computing the line linking the intersection point on the image and the camera optical center in the CCF. (7) Computing the line where the horizontal collinear points locate on the chessboard in the CCF.…”

Section: The Proposed Line Structured Light Plane Calibration Methodsmentioning

confidence: 99%

“…The active vision technique provides a more accurate result than the passive technique, as it can acquire more information about the shape of the object with the help of an external light source. It has been widely used in many fields, such as reverse engineering [2], industrial inspection [3][4][5][6], 3D reconstruction [7], and robotics [8,9]. According to the light source, the active vision technique can be categorized into: point structured light [10], line structured light, or plane structured light [11].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Calibration Method of Line Structured Light Plane Using Spatial Geometry

Gao

2023

Sensors

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The line structured light plane calibration method using a plane target cannot produce satisfactory calibration results due to inaccurate positioning of the calibrated points. Field of view noise and sensor noise affect the target light stripe extraction and camera parameter calculation during the calibration process. These factors will cause the calculation of the coordinates of the calibrated point to deviate, and thus affect the light plane calibration. To solve this problem, we propose a new method to calculate the calibrated point based on spatial geometry. Firstly, for the projection line corresponding to the feature point on the light stripe and the corresponding line on the target, a common perpendicular of these two lines above is established, and since the sum of the squares of the distances from the midpoint to the two straight lines is the smallest, the midpoint of the common perpendicular is taken as the calibrated point. Secondly, the target is moved to different positions, and the non-collinear calibrated points are calculated. Finally, the parameters of the light plane are obtained by fitting these calibrated points. This method requires only a checkerboard target, and has a simple calibration process. The experimental results show that the average error of the calibration method proposed in this paper is 0.011 mm, which is less than the 0.031 mm of the calibration method based on the plane target with cross-ratio invariant.

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Section: The Proposed Line Structured Light Plane Calibration Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Calibration Method of Line Structured Light Plane Using Spatial Geometry

Gao

2023

Sensors

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“…Structured light vision measurement is an active vision measurement technology, and the profile information of the measured object can be obtained by the characteristic light beam projected onto the surface. Compared with binocular vision technology, structured light vision measurement technology [1][2][3][4] is often used for non-contact measurement in complex environments with better robustness.…”

Section: Introductionmentioning

confidence: 99%

Research on Calibration Method of Line-Structured Light Based on Multiple Geometric Constraints

Ren

et al. 2023

Applied Sciences

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Line-structured light calibration is an important step in the process of the visual measurement of structured light, and in the calibration process, the light plane equation is fitted by the camera coordinates of the data points on the light plane. There is error in solving the spatial coordinates of the data points, and the existing methods generally cannot effectively find the deviation points in the fitted data points, which leads to deviation when solving the parameters of the light plane equation. To correct the error caused by the deviation point in the calibration, this paper established a calibration method based on geometric constraints. In the method, the first constraint was that all fit points involved in the fitting had a certain consistency, and a part of the error points could be filtered by the distance from the data point to the light plane. In order to further improve the calibration accuracy, the laser was moved on a linear guide, the optimized objective function was established by the second geometric constraint, and the constraint was the relationship that the light plane at each position was parallel. In the experiment, a high-precision gauge block was used as the measured object, and the measurement results could be obtained. The calibration method can improve the calibration accuracy according to the experimental results.

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A machine vision–based radial circular runout measurement method

Jiang

et al. 2023

Int J Adv Manuf Technol

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A Vision Measurement Method for the Gear Shaft Radial Runout With Line Structured Light

Cited by 9 publications

References 23 publications

A Novel Calibration Method of Line Structured Light Plane Using Spatial Geometry

A Novel Calibration Method of Line Structured Light Plane Using Spatial Geometry

Research on Calibration Method of Line-Structured Light Based on Multiple Geometric Constraints

A machine vision–based radial circular runout measurement method

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