Flexible Three-Dimensional Reconstruction via Structured-Light-Based Visual Positioning and Global Optimization

Yin, Lei; Wang, Xiangjun; Ni, Yubo

doi:10.3390/s19071583

Cited by 15 publications

(7 citation statements)

References 33 publications

(43 reference statements)

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“…With the rapid development of the process manufacturing industry, the demand for the accuracy of 3D topography measurement of complex surfaces is also increasing [1][2] . However, most of these workpieces are large in size and difficult to move, it is difficult to use traditional measuring methods and equipment for efficient dimensional detection.…”

Section: Introductionmentioning

confidence: 99%

Combined line laser 3D measurement method based on binocular vision

Chen

Luo

et al. 2023

International Conference on Optical and Photonic Engineering (icOPEN 2022)

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With the continuous development of domestic and foreign manufacturing industries, there are limitations in the omnidirectional three-dimensional measurement of large parts. In order to improve the 3D measurement range, speed, and accuracy of single-line lasers, a combined measurement method based on binocular vision positioning technology is proposed. First, the circular markers are pasted around the line laser sensor, and a virtual intermediate coordinate system is constructed based on the centers of the marked points. Secondly, a feature point energy matching algorithm is used to complete the corresponding points matching of the circular markers, and the position of the circular markers is solved based on the SVD method. Third, the relative pose relationship between the virtual intermediate coordinate system and the line laser sensor coordinate system is completed based on the hand-eye calibration model. Fourth, combined with the circular markers pose and relative pose, the local point cloud data of the line laser is unified into the global coordinate system to realize point cloud splicing. The experimental results show that the average measurement error of the measurement system is less than 0.23 mm, which basically meets the requirements of general shape measurement.

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Section: Introductionmentioning

confidence: 99%

Combined line laser 3D measurement method based on binocular vision

Chen

Luo

et al. 2023

International Conference on Optical and Photonic Engineering (icOPEN 2022)

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“…As concluded in [ 1 ], the reconstruction quality of an object is strongly dependent on the interplay of surface geometry, material properties and incident illumination. As one of the active 3D shape acquisition techniques, structured light techniques, especially stripe-based structured light methods [ 2 , 3 ], can acquire micron-sized reconstruction accuracy for diffuse surfaces, whereas only degraded quality can be acquired for a non-Lambertian surface due to complex reflectance behavior. In detail, all structured light methods assume that the modulation of pattern originates from the surface geometry and the effect of reflectance properties on the profile of the stripe is either ignored or reduced by using different types of coding strategy [ 4 ] or light sources [ 5 ].…”

Section: Introductionmentioning

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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“…Due to the advantages of high speed, high accuracy, and full light field, fringe projection profilometry (FPP) based on structured light sensor [1,2,3] has become the most promising three-dimensional (3D) data acquisition technique in many fields, such as quality control [4,5,6], reverse engineering [7,8], and others [9,10,11]. Generally, the system of fringe projection profilometry consists of one camera and one projector.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Binocular Fringe Dynamic Projection Method for High Dynamic Range Measurement

Xue

et al. 2019

Sensors

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Three-dimensional measurement with fringe projection sensor has been commonly researched. However, the measurement accuracy and efficiency of most fringe projection sensors are still seriously affected by image saturation and the non-linear effects of the projector. In order to solve the challenge, in conjunction with the advantages of stereo vision technology and fringe projection technology, an adaptive binocular fringe dynamic projection method is proposed. The proposed method can avoid image saturation by adaptively adjusting the projection intensity. Firstly, the flowchart of the proposed method is explained. Then, an adaptive optimal projection intensity method based on multi-threshold segmentation is introduced to adjust the projection illumination. Finally, the mapping relationship of binocular saturation point and projection point is established by binocular transformation and left camera–projector mapping. Experiments demonstrate that the proposed method can achieve higher accuracy for high dynamic range measurement.

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Flexible Three-Dimensional Reconstruction via Structured-Light-Based Visual Positioning and Global Optimization

Cited by 15 publications

References 33 publications

Combined line laser 3D measurement method based on binocular vision

Combined line laser 3D measurement method based on binocular vision

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

Adaptive Binocular Fringe Dynamic Projection Method for High Dynamic Range Measurement

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