Structured Light Three-Dimensional Measurement Based on Machine Learning

Zhong, Chongquan; Gao, Zhan; Wang, Xu; Shao, Shuangyun; Gao, Chenjia

doi:10.3390/s19143229

Cited by 13 publications

(4 citation statements)

References 28 publications

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“…Phase-shifting structured light. N -step phase-shifting profilometry [ 11 , 24 , 25 , 26 , 27 , 28 ] is another commonly used technique for 3D measurements. In recent work, for textured surface, the method in [ 29 ] corrected the recovered phases by template convolution in 3×3 or 5×5 pixel windows.…”

Section: Related Workmentioning

confidence: 99%

Eliminating the Effect of Reflectance Properties on Reconstruction in Stripe Structured Light System

Song

2020

Sensors

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The acquisition of the geometry of general scenes is related to the interplay of surface geometry, material properties and illumination characteristics. Surface texture and non-Lambertian reflectance properties degrade the reconstruction results by structured light technique. Existing structured light techniques focus on different coding strategy and light sources to improve reconstruction accuracy. The hybrid system consisting of a structured light technique and photometric stereo combines the depth value with normal information to refine the reconstruction results. In this paper, we propose a novel hybrid system consisting of stripe-based structured light and photometric stereo. The effect of surface texture and non-Lambertian reflection on stripe detection is first concluded. Contrary to existing fusion strategy, we propose an improved method for stripe detection to reduce the above factor’s effects on accuracy. The reconstruction problem for general scene comes down to using reflectance properties to improve the accuracy of stripe detection. Several objects, including checkerboard, metal-flat plane and free-form objects with complex reflectance properties, were reconstructed to validate our proposed method, which illustrates the effectiveness on improving the reconstruction accuracy of complex objects. The three-step phase-shifting algorithm was implemented and the reconstruction results were given and also compared with ours. In addition, our proposed framework provides a new feasible scheme for solving the ongoing problem of the reconstruction of complex objects with variant reflectance. The problem can be solved by subtracting the non-Lambertian components from the original grey values of stripe to improve the accuracy of stripe detection. In the future, based on stripe structured light technique, more general reflection models can be used to model different types of reflection properties of complex objects.

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Section: Related Workmentioning

confidence: 99%

Eliminating the Effect of Reflectance Properties on Reconstruction in Stripe Structured Light System

Song

2020

Sensors

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“…Recently, deep learning technique was introduced into FPP due to its excellent performance in image processing. Zhong [31] et al proposed a structured-light 3D measurement method based on machine learning, which only needed one single fringe pattern for phase solution and was potentially applied for real-time measurement. Zhang [32] et al designed a special convolutional neural network (CNN) to enable fast 3D reconstruction from saturated or dark images, which could extract phase information in both the low signal-to-noise ratio (SNR) and saturation situations.…”

Section: Introductionmentioning

confidence: 99%

High-Efficiency Dynamic Three-Dimensional Topography Measurement Using the Phase Shift Generation Method

Deng,

Liu,

Zhu

et al. 2024

Photonics

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In the fringe projection profilometry (FPP), the traditional phase-shifting (TPS) algorithm and the Fourier transform (FT) algorithm are beset with a conundrum where measurement efficiency and conflicts with measurement accuracy, thereby limiting their application in dynamic three-dimensional (3D) measurements. Here, we propose a phase shift generation (PSG) method, which acquires the sinusoidal fringes by sparse sampling and reconstructs the complete phase-shifting sequence by generating the missing fringes with superimposed coupling of adjacent fringes. According to our proposed PSG method in which the sinusoidal fringe sequence size is about half of the TPS method, meaning that the PSG method will be timesaving in the phase-shifting sequence sampling process. Moreover, because of the utilization of multiframe fringes, our PSG method allows for a more accurate measurement than the FT method. Both simulation and experimental results demonstrate that our proposed PSG method can well balance the measurement accuracy and efficiency with a lower sampling rate, bearing a great potential to be applied in both scientific and industrial areas.

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“…Moreover, their contact probes can possibly cause damage to the surface of the industrial component and wear on themselves. Non-contact measurement devices involve industrial CT [ 9 ] and technologies including laser triangulation [ 10 ], structured-light vision technology [ 11 , 12 ], binocular stereo vision technology [ 13 ] and photometric stereo vision technology [ 14 , 15 , 16 , 17 , 18 , 19 ]. They have the advantages of high efficiency, convenient operation, high degree of automation, no need for probe radius compensation and non-contact measurement of ultra-precision workpieces.…”

Section: Introductionmentioning

confidence: 99%

A High-Precision Multi-Beam Optical Measurement Method for Cylindrical Surface Profile

Zhou

Cai

et al. 2023

Micromachines

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To automatically measure the surface profile of a cylindrical workpiece, a high-precision multi-beam optical method is proposed in this paper. First, some successive images for the cylindrical workpiece’s surface are acquired by a multi-beam angle sensor under different light directions. Then, the light directions are estimated based on the feature regions in the images to calculate surface normal vectors. Finally, according to the relationship of the surface normal vector and the vertical section of the workpiece’s surface, a depth map is reconstructed to achieve the curvature surface, which can be employed to measure the curvature radius of the cylindrical workpiece’s surface. Experimental results indicate that the proposed measurement method can achieve good measurement precision with a mean error of the curvature radius of a workpiece’s surface of 0.89% at a reasonable speed of 10.226 s, which is superior to some existing methods.

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Structured Light Three-Dimensional Measurement Based on Machine Learning

Cited by 13 publications

References 28 publications

Eliminating the Effect of Reflectance Properties on Reconstruction in Stripe Structured Light System

Eliminating the Effect of Reflectance Properties on Reconstruction in Stripe Structured Light System

High-Efficiency Dynamic Three-Dimensional Topography Measurement Using the Phase Shift Generation Method

A High-Precision Multi-Beam Optical Measurement Method for Cylindrical Surface Profile

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