Application of structured lighting sensor for online measurement

Song, Limei; Qu, Xinghua; Yang, Yangang; Chen, Yong; Ye, Shenghua

doi:10.1016/j.optlaseng.2004.06.020

Cited by 26 publications

(19 citation statements)

References 4 publications

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“…In optical metrology, the three-dimensional measurement is performed based on the calibration of vision parameters [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. The proposed technique provides the data for the calibration by means of a Bezier network.…”

Section: Basic Description Of the Setupmentioning

confidence: 99%

“…The calibration provides parameters such as camera orientation, focal distance, setup distances, pixel scale and image centre. Several researches have been developed for the calibration of laser line projection via perspective projection [7][8][9][10][11][12][13][14][15][16][17]. One of these methods is implemented by projecting a laser line on black and white rectangles [7].…”

Section: Introductionmentioning

confidence: 99%

“…This method computes the vision parameters via perspective projection by detecting the laser line on the featured points. Another structured light sensor performs the calibration by transforming the image coordinates of a laser line [12,13]. Here, the surface is retrieved by laser line projection and a transformation matrix computes the world coordinates.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Laser imaging and approximation networks for calibration of three-dimensional vision

Muñoz-Rodríguez

2011

Optics & Laser Technology

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Section: Basic Description Of the Setupmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Laser imaging and approximation networks for calibration of three-dimensional vision

Muñoz-Rodríguez

2011

Optics & Laser Technology

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“…Meanwhile, the structured light projections have been developed to provide new methods for surface profilometry and deformation evaluations [11][12][13][14][15]. Apart from applications to online inspection of product quality [16,17], recognition of robotic sensing in mechanical engineering [18], chest-wall evaluation for lung function estimations in biomedical engineering [19], structure light projection shows its convenience in phase shifting without moving any hard parts of the projector, and easy change of fringe density to alter measurement sensitivity [20].…”

Section: Introductionmentioning

confidence: 99%

Application of color structured light pattern to measurement of large out-of-plane deformation

et al. 2011

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Measurement of out-of-plane deformation is significant to understanding of the deflection mechanisms of the plate and tube structures. In this study, a new surface contouring technique with color structured light is applied to measure the out-of-plane deformation of structures with one-shot projection. Through color fringe recognizing, decoding and triangulation processing for the captured images corresponding to each deformation state, the feasibility of the method is testified by the measurement of elastic deflections of a flexible square plate, showing good agreement with those from the calibrated displacement driver. The plastic deformation of two alloy aluminum rectangular tubes is measured to show the technique application to surface topographic evaluation of the buckling structures with large displacements.

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“…In the technique, an encoding mark with a special pattern serves as the medium to obtain the 3D coordinates of the center of the component's hole for assembling [4][5][6] . The 3D coordinates of 5 key points on the encoding marks can be obtained by the high-precision machine vision technique [7][8][9][10] . Each calibration takes about 3 min and the 0.0174 mm measurement accuracy means that it can meet the necessary calibration and assembly requirement.…”

mentioning

confidence: 99%

Technique for calibration of chassis components based on encoding marks and machine vision metrology

Song

Zhang

Wei

et al. 2011

Optoelectron. Lett.

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A novel technique for calibrating crucial parameters of chassis components is proposed, which utilizes the machine vision metrology to measure 3D coordinates of the center of a component's hole for assembling in the 3D world coordinate system. In the measurement, encoding marks with special patterns will be assembled on the chassis component associated with cross drone and staff gauge located near the chassis. The geometry and coordinates of the cross drone consist of two planes orthogonal to each other and the staff gauge is in 3D space with high precision. A few images are taken by a highresolution camera in different orientations and perspectives. The 3D coordinates of 5 key points on the encoding marks will be calculated by the machine vision technique and those of the center of the holes to be calibrated will be calculated by the deduced algorithm in this paper. Experimental results show that the algorithm and the technique can satisfy the precision requirement when the components are assembled, and the average measurement precision provided by the algorithm is 0.0174 mm.The precise calibration of the chassis is crucial to the performance of motorcycles, electric bicycles and bicycles , especially for the stability and safety of these vehicles, which fully depend on the precision of the junction between the chassis and other components. In order to accurately assemble the components, the precise calibration of the key points of the chassis components is indispensable and significant [1] . The 3D calibration machine is widely used to measure the parameters of the chassis, which needs to touch the components [2] . The component to be calibrated must be fixed on the machine and measured point by point [3] . It will cost half an hour per time. Due to the waste of time and the inconvenience, lots of manufactories can not have enough energy and resource to ensure every chassis to be calibrated, resulting in just only a part of chassis can be measured.The novel technique proposed in this paper is focused on the machine vision calibration. In the technique, an encoding mark with a special pattern serves as the medium to obtain the 3D coordinates of the center of the component's hole for assembling [4][5][6] . The 3D coordinates of 5 key points on the encoding marks can be obtained by the high-precision machine vision technique [7][8][9][10] . Each calibration takes about 3 min and the 0.0174 mm measurement accuracy means that it can meet the necessary calibration and assembly requirement.With the technique and algorithm, the chassis can be fully or 80% calibrated, which contributes to promote the product quality of chassis components. When the unqualified product is detected in the manufacture process of chassis, the immediate repairment can be offered or the subsequent processing can be ceased in order to avoid dispensable waste.Since the hollow nature of the hole, the coordinates of the center of the assembled hole can , t be directly calibrated. The traditional method can only provide fitting coordinates for the ...

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Application of structured lighting sensor for online measurement

Cited by 26 publications

References 4 publications

Laser imaging and approximation networks for calibration of three-dimensional vision

Laser imaging and approximation networks for calibration of three-dimensional vision

Application of color structured light pattern to measurement of large out-of-plane deformation

Technique for calibration of chassis components based on encoding marks and machine vision metrology

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