Guided, Fusion-Based, Large Depth-of-field 3D Imaging Using a Focal Stack

Xiao, Yuhao; Wang, Guijin; Hu, Xiaowei; Shi, Chenbo; Meng, Long; Yang, Huazhong

doi:10.3390/s19224845

Cited by 16 publications

(4 citation statements)

References 25 publications

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“…In 2019, Guijin Wang et al [ 76 ] conducted research on 3D object reconstruction in scenes with great depth. The method is divided into four steps: local imaging, fringe extraction, estimation of global depth values and 3D fusion.…”

Section: Multi-view Stereo Vision Measurement Methodsmentioning

confidence: 99%

Three-Dimensional Morphology and Size Measurement of High-Temperature Metal Components Based on Machine Vision Technology: A Review

Wen

Wang

Zhang

et al. 2021

Sensors

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The three-dimensional (3D) size and morphology of high-temperature metal components need to be measured in real time during manufacturing processes, such as forging and rolling. Since the surface temperature of a metal component is very high during the forming and manufacturing process, manually measuring the size of a metal component at a close distance is difficult; hence, a non-contact measurement technology is required to complete the measurement. Recently, machine vision technology has been developed, which is a non-contact measurement technology that only needs to capture multiple images of a measured object to obtain the 3D size and morphology information, and this technology can be used in some extreme conditions. Machine vision technology has been widely used in industrial, agricultural, military and other fields, especially fields involving various high-temperature metal components. This paper provides a comprehensive review of the application of machine vision technology in measuring the 3D size and morphology of high-temperature metal components. Furthermore, according to the principle and method of measuring equipment structures, this review highlights two aspects in detail: laser scanning measurement and multi-view stereo vision technology. Special attention is paid to each method through comparisons and analyses to provide essential technical references for subsequent researchers.

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Section: Multi-view Stereo Vision Measurement Methodsmentioning

confidence: 99%

Three-Dimensional Morphology and Size Measurement of High-Temperature Metal Components Based on Machine Vision Technology: A Review

Wen

Wang

Zhang

et al. 2021

Sensors

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“…The incident ray intersects the reference surface with point m ′ . The reference surface slopes are calculated by substituting the position of m ′ for the position of m into the equation (1). The reference slopes can be used to reconstruct the SUT.…”

Section: Principle Of Mpmdmentioning

confidence: 99%

“…3D optical measurement is important in many application fields such as space observatory and reverse engineering [1][2][3]. Structured light methods perform well in reconstructing diffuse surfaces, but are usually unable to handle specular surfaces due to their strong reflectances.…”

Section: Introductionmentioning

confidence: 99%

A deep learning-based approach to solve the height-slope ambiguity in phase measuring deflectometry

Fan¹,

Ma²,

Li³

et al. 2023

Meas. Sci. Technol.

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Phase measuring deflectometry (PMD) shows excellent performance in measuring the shape of specular surfaces. However, the existing height-slope ambiguity affects the measurement of PMD. In this paper, we propose a deep learning-based method to solve the ambiguity and reconstruct the specular surface. A neural network was built to reconstruct the surface. A set of simulation surfaces were generated using two-dimensional Legendre polynomials to train and test the network. A spherical-shaped surface was reconstructed in a simulation to evaluate the validity of the proposed method and compare our method to the state-of-the-art method. Experimental results demonstrate a 35.88% improvement in this method’s accuracy. Our method provides a great improvement in measurement accuracy.

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“…3D optical measurement has been widely used in various applications like industrial inspection, inverse engineering, robot navigation, and human-machine interaction, etc. [1][2][3][4][5]. Off-the-shelf commercial 3D scanners like structured light system [6][7][8] and laser 3D scanners [9] can perform well in the 3D measurement of diffuse surface or Lambertian surface.…”

Section: Introductionmentioning

confidence: 99%

An Accurate Calibration Means for the Phase Measuring Deflectometry System

Han

Song

2019

Sensors

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Calibration is a critical step for the phase measuring deflectometry system. Existing calibration methods are mainly optimizing the calibration parameters with respect to the 2D re-projection error criterion. However, such a procedure cannot reduce metric errors in the practical application. Therefore, an accurate and practical calibration method is proposed. In which, conventional calibration means is first applied for the primary calibration. Then, a precise square planar mirror is used for the optimization of system calibration parameters. All the intrinsic and extrinsic parameters are considered as a global multi-objective optimization problem. Three metric error criteria are introduced to evaluate the 3D reconstruction accuracy of the reference mirror. Compared with classical calibration means, which apply the parameter optimization in 2D image space to minimize the re-projection errors, the proposed optimization approach is executed in 3D space directly. An experiment and comparison are conducted to verify that the proposed optimal calibration approach can effectively reduce the system deviation and to improve the system measurement accuracy.

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Guided, Fusion-Based, Large Depth-of-field 3D Imaging Using a Focal Stack

Cited by 16 publications

References 25 publications

Three-Dimensional Morphology and Size Measurement of High-Temperature Metal Components Based on Machine Vision Technology: A Review

Three-Dimensional Morphology and Size Measurement of High-Temperature Metal Components Based on Machine Vision Technology: A Review

A deep learning-based approach to solve the height-slope ambiguity in phase measuring deflectometry

An Accurate Calibration Means for the Phase Measuring Deflectometry System

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