A Three-Dimensional Structured Light Vision System by Using a Combination of Single-Line and Three-Line Lasers

Sun, Qiucheng; Ren, Zeming; Zhu, Jinlong; Dai, Weiyu; Wang, Mingze; Sun, Mingyu

doi:10.3390/s23010013

Cited by 6 publications

(5 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their study resulted in accuracies at 0.013 mm, 0.011 mm, and 0.015 mm, and mean standard deviations at 0.015 mm, 0.006 mm, and 0.005 mm. Finally, Sun et al [10] developed a structured light system using three lasers to analyze objects on a rotating plate for three-dimensional reconstruction. They evaluated their design with 40, 50, 60, and 70 mm gauge blocks and obtained average errors at 0.025 mm, 0.006 mm, 0.006 mm, and 0.03 mm, and standard deviations at 0.1099 mm, 0.1056 mm, 0.1007 mm, and 0.0856 mm, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…Photogrammetry involves deriving three-dimensional geometry from photographic images [7,8]. Photogrammetry has found successful applications in various domains, e.g., for unmanned aerial vehicles and satellite mapping [9], bridge monitoring [7], threedimensional object reconstruction [10], 3D scene mapping [11], and precise object measurements [3,[12][13][14][15][16][17]. This field of study has versatile applications in many industries including geology, architecture, topography, automotive engineering, and aerospace [8].…”

Section: Introductionmentioning

confidence: 99%

“…Multiple methods exist for extracting measurements of an element from images, ranging from techniques based solely on monocular vision to those employing the triangulation of multiple elements, e.g., Stereoscopic Vision [11] and Pattern Projection [10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Cost-Effective Method for Automatically Measuring Mechanical Parts Using Monocular Machine Vision

Barca

Pimenta

2023

Sensors

View full text Add to dashboard Cite

Automatic measurements via image processing can accelerate measurements and provide comprehensive evaluations of mechanical parts. This paper presents a comprehensive approach to automating evaluations of planar dimensions in mechanical parts, providing significant advancements in terms of cost-effectiveness, accuracy, and repeatability. The methodology employed in this study utilizes a configuration comprising commonly available products in the industrial computer vision market, therefore enabling precise determinations of external contour specifications for mechanical components. Furthermore, it presents a functional prototype for making planar measurements by incorporating an improved subpixel edge-detection method, thus ensuring precise image-based measurements. The article highlights key concepts, describes the measurement procedures, and provides comparisons and traceability tests as a proof of concept for the system. The results show that this vision system did achieve suitable precision, with a mean error of 0.008 mm and a standard deviation of 0.0063 mm, when measuring gauge blocks of varying lengths at different heights. Moreover, when evaluating a circular sample, the system resulted in a maximum deviation of 0.013 mm, compared to an alternative calibrated measurement machine. In conclusion, the prototype validates the methods for planar dimension evaluations, highlighting the potential for enhancing manual measurements, while also maintaining accessibility. The presented system expands the possibilities of machine vision in manufacturing, especially in cases where the cost or agility of current systems is limited.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Cost-Effective Method for Automatically Measuring Mechanical Parts Using Monocular Machine Vision

Barca

Pimenta

2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Therefore, multiline laser inspection offers increased accuracy in detection and faster speed in detection. Sun et al 21 . proposed a method for measuring structured light using multiple lines, including single-line and three-line lasers.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, multiline laser inspection offers increased accuracy in detection and faster speed in detection. Sun et al 21 proposed a method for measuring structured light using multiple lines, including single-line and three-line lasers. This method effectively addresses the challenge of obtaining accurate angle and position data, allowing for the efficient retrieval of a 3D shape of an object.…”

Section: Introductionmentioning

confidence: 99%

High-efficiency flatness detection method for medium-thick steel plates based on multiline parallel laser vision

Xia,

Wang,

Wang

et al. 2023

Opt. Eng.

View full text Add to dashboard Cite

.To resolve the disparity between accuracy and speed in the current surface flatness detection of medium and thick steel plates, which predominantly relies on the single-line laser vision method, we propose a high-efficiency flatness detection method for medium-thick steel plates based on multiline parallel laser vision. On the basis of building a flatness detection system, we present the adaptive cropping algorithm and improved variable threshold Otsu thresholding segmentation algorithm (IVT-Otsu) for image preprocessing. Then, the centerline of subpixel-level laser stripes is accurately extracted using a weighted quadratic grayscale center of gravity method. Meanwhile, a pruning algorithm-based multiline laser stripe center extraction method is proposed to address the phenomenon of spotting and branching in the center of multiline parallel laser, to efficiently obtain the surface depth information and flatness index of medium-thick steel plate. Results of the experiment indicate that the proposed method better fulfills the accuracy and efficiency requirements for online inspection when extracting the laser centers and calculating the flatness.

show abstract

Multi-line laser 3D reconstruction method based on spatial quadric surface and geometric estimation

Huang,

Liu,

Deng

et al. 2024

Sci Rep

View full text Add to dashboard Cite

The traditional multi-line laser 3D reconstruction is based on binocular epipolar constraints and the equation of the laser optical plane. Firstly, matching points are identified based on the epipolar constraints. Then, the correct matching points are selected based on the optical plane equation of the multi-line laser. Finally, 3D reconstruction is performed using the selected matching points. In actual production processes involving multi-line lasers, noticeable distortion occurs due to the projection of Diffractive Optical Elements (DOE) at a large angle. This results in curved laser light planes and curved reflections on the measured objects. Under such circumstances, efficiently screening matching points using the traditional method based on the laser plane equation becomes challenging. Additionally, inherent noise in multi-line laser systems introduces errors in extracted laser center coordinates, making it impossible to directly obtain high-precision 3D data. To address these issues, this paper proposes a method that utilizes spatial quadric surfaces and geometric estimation for completing multi-line laser 3D reconstructions. By analyzing the distortion principle of DOE and the positional relationship after optical diffraction, the multi-line laser manifests as a quadric surface on the optical output plane. Consequently, by calibrating the equations of the quadric surface and applying binocular polar constraints, suitable matching points for the multi-line laser can be chosen. Once an accurate matching point is identified, a minimum geometric distance estimation can be established based on the distance constraint between the point and its corresponding epipolar line. This distance represents the separation between the left and right camera’s laser center points and their respective epipolar lines. Utilizing this estimate of the minimum geometric distance, a refined calculation can be performed to better satisfy epipolar constraints and obtain new matching points. Ultimately, utilizing these new matching points enables the completion of 3D reconstruction for multi-line lasers. In comparison with methods relying on spatial plane and epipolar constraints, our algorithm exhibits a superior degree of matchability and accuracy.According to multiple groups of test data, the average error before optimization is 0.3126 mm, and can be increased to 0.0336 mm after optimization.

show abstract

A Three-Dimensional Structured Light Vision System by Using a Combination of Single-Line and Three-Line Lasers

Cited by 6 publications

References 29 publications

A Cost-Effective Method for Automatically Measuring Mechanical Parts Using Monocular Machine Vision

A Cost-Effective Method for Automatically Measuring Mechanical Parts Using Monocular Machine Vision

High-efficiency flatness detection method for medium-thick steel plates based on multiline parallel laser vision

Multi-line laser 3D reconstruction method based on spatial quadric surface and geometric estimation

Contact Info

Product

Resources

About