A novel high dynamic range 3D measurement method based on adaptive fringe projection technique

Liu, Yanzhao; Fu, Yanjun; Cai, Xiaoqi; Zhong, Kangping; Guan, Bingliang

doi:10.1016/j.optlaseng.2020.106004

Cited by 34 publications

(9 citation statements)

References 34 publications

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“…At the same time, for some special objects, such as car windshield [ 3 ], painted body shell [ 4 ], polishing mold, stainless steel products, and other smooth surface objects, the demand for three-dimensional measurement is greater and greater. Meanwhile, the traditional three-dimensional reconstruction method [ 5 , 6 , 7 ] is not ideal for the reconstruction of the bright surface. The two-dimensional feature information of the image obtained by the camera mainly comes from the surrounding environment of the shiny surface, rather than the surface itself.…”

Section: Introductionmentioning

confidence: 99%

Accurate Calibration of a Large Field of View Camera with Coplanar Constraint for Large-Scale Specular Three-Dimensional Profile Measurement

Wang

Zou

2023

Sensors

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In the vision-based inspection of specular or shiny surfaces, we often compute the camera pose with respect to a reference plane by analyzing images of calibration grids, reflected in such a surface. To obtain high precision in camera calibration, the calibration target should be large enough to cover the whole field of view (FOV). For a camera with a large FOV, using a small target can only obtain a locally optimal solution. However, using a large target causes many difficulties in making, carrying, and employing the large target. To solve this problem, an improved calibration method based on coplanar constraint is proposed for a camera with a large FOV. Firstly, with an auxiliary plane mirror provided, the positions of the calibration grid and the tilt angles of the plane mirror are changed several times to capture several mirrored calibration images. Secondly, the initial parameters of the camera are calculated based on each group of mirrored calibration images. Finally, adding with the coplanar constraint between each group of calibration grid, the external parameters between the camera and the reference plane are optimized via the Levenberg-Marquardt algorithm (LM). The experimental results show that the proposed camera calibration method has good robustness and accuracy.

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Section: Introductionmentioning

confidence: 99%

Accurate Calibration of a Large Field of View Camera with Coplanar Constraint for Large-Scale Specular Three-Dimensional Profile Measurement

Wang

Zou

2023

Sensors

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“…The imaging quality severely degrades, and the defect details become blurred or even disappear directly, which causes the failure of the defects identification. 3,4 In addition, there exists a wide range of defects, such as pitting, scratch, bubble, edge collapse, surface contaminant, etc, which greatly increases the difficulties for image analysis and defect determination. 5,6 Therefore, improving image quality under the influence of highlight and developing accurate, rapid defect recognition algorithms are two key solutions for the realization of high-speed industrial inspection of optical components.…”

Section: Introductionmentioning

confidence: 99%

“…However, the specular highlight phenomenon originated from the high transmission, high reflection, and directional reflection of optical components, leads to severe overexposure or underexposure during the imaging process when AOI technology is applied to the detection of optical components. The imaging quality severely degrades, and the defect details become blurred or even disappear directly, which causes the failure of the defects identification 3 , 4 . In addition, there exists a wide range of defects, such as pitting, scratch, bubble, edge collapse, surface contaminant, etc, which greatly increases the difficulties for image analysis and defect determination 5 , 6 .…”

Section: Introductionmentioning

confidence: 99%

Defect inspection of optical components based on dark-field polarization imaging and convolutional neural network recognition algorithms

Zheng

Huang

et al. 2023

Opt. Eng.

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.Automatic optical inspection technology (AOI) is a visual inspection technology that has developed rapidly in recent years. The high speed and accuracy of AOI can greatly enhance the efficiency of modern industrial production. However, when this technology is applied to optical components inspection, it encounters a challenge that the specular highlight induces over or under exposure during the imaging process, and further results in a low imaging contrast and unclear defect details of the targets. To solve this problem, a dark-field polarization imaging setup based on a division-of-focal-plane polarization camera was adopted to achieve high contrast defect images. Meanwhile, algorithms based on the improved LeNet-5 convolutional neural network were developed to recognize the defects. An accuracy above 99.5% was obtained for the distinction of defective and non-defective samples, and an accuracy of 94.4% was reached for the various defect classification. Our work demonstrated an effective application of polarization imaging and machine learning in AOI of optical components manufacturing.

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“…orientations or declination angle [9] . To measure a reflective or highly dynamic object, which is a common challenge in optical metrology [10][11] , the most representative algorithm [12][13] was put forward to compensate adaptively the modulation of sinusoidal fringe. In order to reconstruct a complex and moving object, single-shot fringe projection with color code was developed [14][15] .…”

Section: Introductionmentioning

confidence: 99%

Adaptive fringe generation with OBB and homography transform for various objects

Lu,

Wu,

Yuan

et al. 2023

Fourteenth International Conference on Information Optics and Photonics (CIOP 2023)

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A novel high dynamic range 3D measurement method based on adaptive fringe projection technique

Cited by 34 publications

References 34 publications

Accurate Calibration of a Large Field of View Camera with Coplanar Constraint for Large-Scale Specular Three-Dimensional Profile Measurement

Accurate Calibration of a Large Field of View Camera with Coplanar Constraint for Large-Scale Specular Three-Dimensional Profile Measurement

Defect inspection of optical components based on dark-field polarization imaging and convolutional neural network recognition algorithms

Adaptive fringe generation with OBB and homography transform for various objects

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