Flexible High-Resolution Continuous 3-D Scanning for Large-Scale Industrial Components

Ma, Luyao; Yang, Linghui; Liao, Ruiying; Yang, Shuo; Zhu, Jigui

doi:10.1109/tim.2023.3250303

Cited by 2 publications

(2 citation statements)

References 50 publications

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“…x p , y p , and z p represent the ideal displacement positions in the directions of the three coordinate axes between A and B, δ x , δ y , and δ z represent the line errors in the directions of the three coordinate axes, ε x , ε y , and ε z represent the rotation errors around the three coordinate axes. Hence, the ideal coordinate vector of point P in the coordinate system B r bpideal , can be represented as equation (4) or equation (5). The actual coordinate vector r bpfact can be represented as equation (6) or equation (7) (equations ( 5) and ( 7) are applied when there is relative motion between A and B).…”

Section: Mechanical Error Propagation Relationships 221 Transmission ...mentioning

confidence: 99%

“…The line scan camera has been widely used in machine vision and optical measurement fields, such as robot navigation, three-dimensional shape measurement, and surface defect detection [1][2][3][4]. Compared with the area array camera, the line scan camera has the advantages of wide dynamic range, high resolution, and high scanning frequency [5]. It can better meet the imaging needs of products with high precision and large field of view (FOV) [6], which is particularly important for capturing product features online and achieving efficient measurement, and thus has increasingly caught attention [7].…”

Section: Introductionmentioning

confidence: 99%

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A novel error model for the line scan imaging system

Chen,

Qiu,

Fan

2024

Meas. Sci. Technol.

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The factors influencing the accuracy of the line scan imaging system (LSIS) are highly complex, and their error propagation mechanisms are poorly clarified. To reasonably and effectively mitigate the impact of mechanical factors on imaging accuracy, a novel comprehensive error model for LSIS is proposed in this paper, revealing the relationship between imaging errors and various mechanical error sources from manufacturing, assembly, and movement. Based on the analysis of the generation and propagation relationship of mechanical errors in LSIS, the integration of the mechanical system and the imaging system is accomplished to form a comprehensive multibody system, thus establishing a complete linear transmission mechanism for mechanical errors in the imaging process within the model. The experiments demonstrate that this model can provide a reference for the localization of mechanical error sources by utilizing the changes in extrinsic parameters during the calibration process. Furthermore, when the sensitivities of error sources are not exceptionally low, and certain cases with systematic errors are excluded, the model can make accurate estimations of the sensitivities of imaging errors to those errors generated by various mechanical sources. The estimated relative errors do not exceed 6%. The results confirm the effectiveness of this model, which can be utilized to ascertain the range of error sources and assess the extent to which errors from various sources impact imaging accuracy. This model provides a basis for the precision optimization of LSIS.

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Section: Mechanical Error Propagation Relationships 221 Transmission ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel error model for the line scan imaging system

Chen,

Qiu,

Fan

2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

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Triple line-scan camera measurement for efficient and accurate narrow-space 3-D scanning with motion estimation

Ma,

Zhu,

Yang

et al. 2024

Opt. Express

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Vision-based three-dimensional (3-D) shape measurement plays a crucial role in the inspection of vehicles and trains in the field of transportation. Consequently, the demand for more comprehensive narrow-space inspection has become an inevitable necessity and presents a great challenge to conventional vision methods. We propose the following efficient and accurate narrow-space 3-D scanning method based on triple line-scan cameras. First, the structure of coplanar dual line-scan cameras with a narrow reflector is proposed, making it easy for the optical path to enter a narrow space and obtain 3-D shape information. Efficient in-motion measurement with a large field of view is thereby achieved without the worries that often accompany narrow-space constraints. Secondly, an additional line-scan camera is attached to the coplanar dual cameras and creates a time-space constraint in point cloud stitching direction through the triple line-scan camera structure. With an efficient algorithm template including matching and motion estimation, accurate point cloud stitching is ensured. Lastly, point cloud texture mapping and light source optimization are realized. Our experimental results prove that the method realizes low-distortion in-motion reconstruction in narrow space despite motion variation.

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Flexible High-Resolution Continuous 3-D Scanning for Large-Scale Industrial Components

Cited by 2 publications

References 50 publications

A novel error model for the line scan imaging system

A novel error model for the line scan imaging system

Triple line-scan camera measurement for efficient and accurate narrow-space 3-D scanning with motion estimation

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