Binocular Structured Light 3-D Reconstruction System for Low-Light Underwater Environments: Design, Modeling, and Laser-Based Calibration

Ou, Yaming; Fan, Junfeng; Zhou, Chao; Tian, Shifei; Cheng, Long; Tan, Min

doi:10.1109/tim.2023.3261941

Cited by 19 publications

(2 citation statements)

References 36 publications

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“…The dense reconstruction of objects in complex lighting conditions has gradually become a research hotspot. [10][11][12] Sun et al 13 used gray code assisted phase shifting technology and the additional projection of a complementary gray code pattern to use the two decoding results to correct the error position and solve the problems of false edges and mismatched wrapped phase. However, this method is not suitable for scenes with inconsistent reflectivity.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional reconstruction based on binocular structured light with an error point filtering strategy

Li,

Yang,

Wan

et al. 2024

Opt. Eng.

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Gray code assisted phase shifting technology can achieve robust and noise-tolerated three-dimensional (3D) shape measurements. To solve the issues of unsynchronized brightness changes, local overexposure, and edge coding errors caused by inconsistent reflectivity of the surface in complex industrial scenes, as well as defocusing caused by noncontinuous surfaces and varying distances, we combine the advantages of a large imaging range in passive stereo vision and high precision in active structured light imaging. It uses a consumer-grade projector to project gray code and stripe patterns, whereas two precalibrated color industrial cameras capture raw images and obtain the original channel data. Gray code and reverse gray code images are projected to solve the problems of binarization and boundary blur. In addition, an error point filtering strategy is proposed to retain pixels with decoding errors of less than two bits. The use of softargmin for subpixel matching of absolute phase results in a high precision disparity map. We present a simple and high precision 3D measurement system for industrial objects. Experiments on 3D measurements in complex industrial scenes showed that the proposed method can achieve high precision and robust 3D shape measurements.

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Section: Introductionmentioning

confidence: 99%

Three-dimensional reconstruction based on binocular structured light with an error point filtering strategy

Li,

Yang,

Wan

et al. 2024

Opt. Eng.

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“…This technique effectively enhances the three-dimensional image accuracy of the system to approximately 0.6 mm. In their study, Ou et al [ 32 ] employed a combination of binocular cameras and laser fusion technology to develop a model of the system. They conducted an analysis of the refraction error, performed system calibration, and ultimately achieved high-precision imaging in low-light underwater conditions.…”

Section: Introductionmentioning

confidence: 99%

A Study on Refraction Error Compensation Method for Underwater Spinning Laser Scanning Three-Dimensional Imaging

Zhang,

Wang,

Zhang

et al. 2024

Sensors

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Laser scanning 3D imaging technology, because it can obtain accurate three-dimensional surface data, has been widely used in the search for wrecks and rescue operations, underwater resource development, and other fields. At present, the conventional underwater spinning laser scanning imaging system maintains a relatively fixed light window. However, in low-light situations underwater, the rotation of the scanning device causes some degree of water fluctuation, which warps the light strip data that the system sensor receives about the object’s surface. To solve this problem, this research studies an underwater 3D scanning and imaging system that makes use of a fixed light window and a spinning laser (FWLS). A refraction error compensation algorithm is investigated that is based on the fundamentals of linear laser scanning imaging, and a dynamic refraction mathematical model is established based on the motion of the imaging device. The results of the experiment on error analysis in an optimal underwater environment indicate that the error in reconstructing the radius is decreased by 60% (from 2.5 mm to around 1 mm) when compensating for the measurement data of a standard sphere with a radius of 20 mm. Moreover, the compensated point cloud data exhibit a higher degree of correspondence with the model of the standard spherical point cloud. Furthermore, we examine the impact of physical noise, measurement distance, and partial occlusion of the object on the imaging system inside an authentic underwater setting. This study is a good starting point for looking at the refractive error of an underwater laser scanning imaging system. It also provides to us some ideas for future research on the refractive error of other scanning imaging methods.

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On-site calibration method for an underwater stereoscopic camera system based on Scheimpflug principle

Shao,

Li,

Zhang

et al. 2024

J Opt

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Binocular Structured Light 3-D Reconstruction System for Low-Light Underwater Environments: Design, Modeling, and Laser-Based Calibration

Cited by 19 publications

References 36 publications

Three-dimensional reconstruction based on binocular structured light with an error point filtering strategy

Three-dimensional reconstruction based on binocular structured light with an error point filtering strategy

A Study on Refraction Error Compensation Method for Underwater Spinning Laser Scanning Three-Dimensional Imaging

On-site calibration method for an underwater stereoscopic camera system based on Scheimpflug principle

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