Complete calibration of a structured light stripe vision sensor through planar target of unknown orientations

Zhou, Fuqiang; Zhang, Guangjun

doi:10.1016/j.imavis.2004.07.006

Cited by 168 publications

(111 citation statements)

References 14 publications

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“…At present, the general methods [7][8][9][10][11] are used to calibrate light plane by plane fitting after seeking the calibration points on the light plane. Considering geometric meaning of light plane, ( 1 , 2 , 3 ) indicates the normal vector of light plane, 4 represents the distance information from the origin of the coordinate system to the light plane, and then single circular target is used to complete calibration in two steps in this paper.…”

Section: Light Plane Calibrationmentioning

confidence: 99%

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Field Geometric Calibration Method for Line Structured Light Sensor Using Single Circular Target

Chen

Sun

Zhang

et al. 2017

Scientific Programming

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To achieve fast calibration of line structured light sensor, a geometric calibration approach based on single circular calibration target is proposed. The proposed method uses the circular points to establish linear equations, and according to the angle constraint, the camera intrinsic parameters can be calculated through optimization. Then, the light plane calibration is accomplished in two steps. Firstly, when the vanishing lines of target plane at various postures are obtained, the intersections between vanishing lines and laser stripe can be computed, and the normal vector of light plane can be calibrated via line fitting method using intersection points. After that, the distance from the origin of camera coordinate system to the light plane can be derived based on the model of perspectivethree-point. The actual experimental result shows that this calibration method has high accuracy, its average measuring accuracy is 0.0451 mm, and relative error is 0.2314%. In addition, the entire calibration process has no complex operations. It is simple, convenient, and suitable for calibration on sites.

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Section: Light Plane Calibrationmentioning

confidence: 99%

“…(2) Planar target. The calibration method that used free-moving planar target has become commonly popular for line structured light sensor [11][12][13][14][15]. This method can not only obtain high quality calibration images, but also reduce the calibration cost.…”

Section: Introductionmentioning

confidence: 99%

Field Geometric Calibration Method for Line Structured Light Sensor Using Single Circular Target

Chen

Sun

Zhang

et al. 2017

Scientific Programming

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“…It is almost a calibration problem of structured light vision which can be found in related literatures. 20,21 Here is our solution:…”

Section: Light Plane 3-d Reconstructionmentioning

confidence: 99%

Calibration method for geometry relationships of nonoverlapping cameras using light planes

et al. 2013

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Abstract. In some computer vision applications, it is necessary to calibrate the geometry relationships of nonoverlapping cameras. However, due to lacking a common field of view, the calibration of this camera topology is quite difficult. A calibration method for nonoverlapping cameras is proposed and investigated. The proposed method utilizes several light planes, which can be generated by a line laser projector or a rotary laser level, as the calibration objects. The fact that local light planes available in different cameras are identical in global coordinates is used to recover the geometries. Results on both synthetic and real data show the validity and performance of the proposed method. The given method is simple and flexible, which can be used to calibrate geometry relationships of cameras located in large-scale space without expensive equipment such as theodolites and laser trackers. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…One of the most commonly used 3D inspections in the in-process quality assurance systems is the laser triangulation method [2,3]. Its main advantages are contactless use, possibility of full automation and it is faster than point scanning methods, eg.…”

Section: Laser Triangulation Techniquementioning

confidence: 99%

Evaluation of the Predictive Segmentation Algorithm for the Laser Triangulation Method

Reiner¹,

Stankiewicz²

2011

Metrology and Measurement Systems

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Laser triangulation is one of the machine vision measurement methods most commonly used in 3D quality control. However, considering its susceptibility to interference, it cannot be used in certain areas of industrial production e.g. very shiny surfaces. Thus, for the improvement of its applicability, a predictive algorithm of light profile segmentation was designed, where -as a result of using a'priori knowledge -the method becomes resistant to secondary reflexes.The developed technique has been tested on selected parts with surfaces typical for the machine-building industry. The evaluation has been presented based on the surface representation (mapping) error analysis, using the difference between the obtained cloud of points and the nominal surface as processing data, as well as scatter of the discrete Gauss curvature.

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Complete calibration of a structured light stripe vision sensor through planar target of unknown orientations

Cited by 168 publications

References 14 publications

Field Geometric Calibration Method for Line Structured Light Sensor Using Single Circular Target

Field Geometric Calibration Method for Line Structured Light Sensor Using Single Circular Target

Calibration method for geometry relationships of nonoverlapping cameras using light planes

Evaluation of the Predictive Segmentation Algorithm for the Laser Triangulation Method

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