Vision reconstruction based on planar laser with nonrestrictive installation position and posture relative to 2D reference

Xu, Guolin; Zhu, Yaoping; Li, Xiaotao; Chen, Rong

doi:10.1364/oe.380456

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…Owing to the lack of consideration for scale information between local and global coordinate systems, calibration accuracy is compromised, resulting in unstable calibration outcomes. G. Xu et al [21] [22] [23] proposed a laser sensor with unrestricted installation positions and local attitudes, eliminating the need for calibrating both sensor and global version systems. Nevertheless, this approach still requires pre-calibration of the laser plane; thus it merely replaces camera-to-laser coordinate system with camerato-plane plate transformation.…”

Section: Introductionmentioning

confidence: 99%

The joint calibration method of binocular tracking multi-line laser system based on Multi-position attitude optimization algorithm

Huang,

Liu,

Liu

et al. 2024

Preprint

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The traditional multi-line laser 3D reconstruction system relies on marker points to obtain complete 3D information of objects. However, in practical applications, many scenarios do not allow marker points to be pasted on objects. To solve this problem, we adopt a binocular tracking-based method to achieve marker-free stitching of multi-line laser reconstructed 3D data. The calibration of the binocular tracking system and the joint calibration between the multi-line laser system and the tracking ball cage constitute the core challenges of the system. To quickly and accurately complete the calibration of the entire system, this paper proposes a bundle adjustment optimization method based on a cross pole. This method utilizes multiple encoded marker points on the cross pole and their real 3D data. By capturing the cross pole images at different positions through the binocular tracking system, the internal and external parameters of the binocular tracking system are calibrated using the bundle adjustment optimization method in combination with the 3D data of the cross pole and the recognized image points. During the joint calibration of the multi-line laser system and the tracking ball cage, we simultaneously use the binocular tracking system and the multi-line laser system to capture cross pole images. By capturing cross pole at different positions, we can obtain the positional relationship between the cross pole, the binocular tracking system, and the multi-line laser system. Based on these positional relationships, we adopt a multi-position attitude optimization algorithm to calibrate the transformation relationship between the multi-line laser system and the tracking ball cage, thus completing the calibration of the entire system. Finally, based on all the calibration results, we can achieve 3D reconstruction of objects. Compared with the traditional method based on a planar calibration board, the calibration method proposed in this paper only requires one cross pole to complete the calibration of the two key steps, which not only improves the calibration accuracy but also simplifies the calibration process.

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Section: Introductionmentioning

confidence: 99%

The joint calibration method of binocular tracking multi-line laser system based on Multi-position attitude optimization algorithm

Huang,

Liu,

Liu

et al. 2024

Preprint

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show abstract

“…Recently, the combination of stereovision and structured light [8,9], fringe projection [10], as well as other active measurement methods, have been employed to improve working volume, precision and resolution [11]. In some particular applications, the combination of multiple vision systems can synthesize the advantages of the member measurement devices and achieve comprehensive measurement results [8,[12][13][14][15][16][17][18]. However, more errors and measurement uncertainty are introduced to such combined systems that affect the overall 3D reconstruction accuracy [19].…”

Section: Introductionmentioning

confidence: 99%

“…The combined tracking-based vision system presented in this paper is a combination of a local vision system (LVS), which has a small FOV and performs accurate measurements in the local range, and a global vision system (GVS), which has a large FOV and high CCD resolution, aiming to locate and track the movement of the LVS [8,[12][13][14][15][16][17][18]. The holistic working volume and the measurement accuracy are improved compared with each component equipment.…”

Section: Introductionmentioning

confidence: 99%

Calibration and uncertainty analysis of a combined tracking-based vision measurement system using Monte Carlo simulation

Jiang¹,

Cui²,

Cheng³

et al. 2021

Meas. Sci. Technol.

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A global stereovision system combined with a local vision sensor is an effective approach to large-scale object measurement. However, obtaining the error distribution of such an approach remains a key research challenge in vision metrological applications. This paper investigates the calibration and the reconstruction uncertainty estimation method of the combined vision system. The measurement principle and the calibration method of the transformation matrix between the tracking-based measurement coordinate systems are presented. Furthermore, Monte Carlo simulation is utilized to determine the reconstruction uncertainty based on the theoretical measurement model and the experiment-based input uncertainty. The overall measurement uncertainty of the combined system is found to be 34.5% higher than that of the global vision system, which is more sensitive to the input pixel uncertainty than the local vision system. However, the combined vision system can achieve comparable measurement results within its larger working volume. This work contributes to a better understanding of the measurement uncertainty in combined tracking-based vision systems, as well as providing a few useful practice guidelines for using such a visual system.

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An Efficient Method for Three-Dimensional Precise Measurement Using Laser Spot Traversal and Target Point Interpolation

Kang

Zhang

et al. 2023

IEEE Trans. Ind. Electron.

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Vision reconstruction based on planar laser with nonrestrictive installation position and posture relative to 2D reference

Cited by 6 publications

References 29 publications

The joint calibration method of binocular tracking multi-line laser system based on Multi-position attitude optimization algorithm

The joint calibration method of binocular tracking multi-line laser system based on Multi-position attitude optimization algorithm

Calibration and uncertainty analysis of a combined tracking-based vision measurement system using Monte Carlo simulation

An Efficient Method for Three-Dimensional Precise Measurement Using Laser Spot Traversal and Target Point Interpolation

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