Research on evaluation method of stereo vision measurement system based on parameter-driven

Zhang, Miao; Cui, Jiashan; Zhang, Fangrui; Yang, Ning; Li, Yunhui; Li, Fangyan; Deng, Zhongwen

doi:10.1016/j.ijleo.2021.167737

Cited by 4 publications

(4 citation statements)

References 26 publications

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“…A minimum of four positions is required to solve T L R and T L t by equation (4). See more details in the [16].…”

Section: Hand-eye Calibrationmentioning

confidence: 99%

“…The vision-based 3D measurement technology offers numerous advantages, including non-contact operation, affordability, and high precision. It has found extensive applications in quality inspection, reverse engineering, and other related fields [1][2][3][4][5][6]. In recent years, the emergence of industrial robots has led to the development of mounted 3D vision measurement systems [7][8][9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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A density-controllable 3D measurement system based on linear profile sensor and universal manipulator

Zhao,

Zhang,

2024

Meas. Sci. Technol.

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In order to offer a simple and efficient solution for obtaining point clouds, a modular 3D measurement system that incorporates an LPS mounted on a universal manipulator is developed. Unlike the requirement for electronic connections between the LPS and the robot to achieve hard synchronization, we employ a high-low-frequency collaborative strategy for soft synchronization, thereby eliminating the need for complex hardware synchronization modules. Since soft synchronization lacks the high-speed synchronous data acquisition of hard synchronization, we have also proposed an interpolation method on low density data to generate uniform higher-density point clouds, thus enabling a density-controllable point clouds acquisition approach. Experimental results demonstrate the effectiveness and versatility of the system.

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“…A minimum of four positions is required to solve T L R and T L t by equation (4). See more details in the [16].…”

Section: Hand-eye Calibrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A density-controllable 3D measurement system based on linear profile sensor and universal manipulator

Zhao,

Zhang,

2024

Meas. Sci. Technol.

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“…Using the stereo vision system, we can not only reconstruct the terrain of the environment in real time to avoid obstacles, but also use the obtained stereo sequence images to estimate the movement of the rover itself. Therefore, the application of visual navigation in the field of robotics is extremely extensive and significant [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

FLsM: Fuzzy Localization of Image Scenes Based on Large Models

Chen,

Miao,

Gui

et al. 2024

Electronics

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This article primarily focuses on the study of image-based localization technology. While traditional methods have made significant advancements in technology and applications, the emerging field of visual image-based localization technology demonstrates tremendous potential for research. Deep learning has exhibited a strong performance in image processing, particularly in developing visual navigation and localization techniques using large-scale visual models. This paper introduces a sophisticated scene image localization technique based on large models in a vast spatial sample environment. The study involved training convolutional neural networks using millions of geographically labeled images, extracting image position information using large model algorithms, and collecting sample data under various conditions in elastic scene space. Through visual computation, the shooting position of photos was inferred to obtain the approximate position information of users. This method utilizes geographic location information to classify images and combines it with landmarks, natural features, and architectural styles to determine their locations. The experimental results show variations in positioning accuracy among different models, with the most optimal model obtained through training on a large-scale dataset. They also indicate that the positioning error in urban street-based images is relatively small, whereas the positioning effect in outdoor and local scenes, especially in large-scale spatial environments, is limited. This suggests that the location information of users can be effectively determined through the utilization of geographic data, to classify images and incorporate landmarks, natural features, and architectural styles. The study’s experimentation indicates the variation in positioning accuracy among different models, highlighting the significance of training on a large-scale dataset for optimal results. Furthermore, it highlights the contrasting impact on urban street-based images versus outdoor and local scenes in large-scale spatial environments.

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“…Subpixel detection is an effective method to improve accuracy in image processing. The commonly used sub-pixel edge detection methods are: fitting method, interpolation method and moment-based method [5,6,7]. Commonly used methods for evaluating roundness error include the minimum zone circle (MZC), the least squares circle (LSC), the minimum circumscribed circle (MCC) and the maximum inscribed circle (MIC), of which the minimum zone method and the least squares method are most commonly used [8].…”

Section: Introductionmentioning

confidence: 99%

Machine vision based roundness and cylindricity detection of bearing rollers

Wang

zhu

2023

International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2023)

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Aiming at the problems of low measurement efficiency, large error and inaccurate roundness evaluation of bearing roller size, a roundness and cylindricity detection system based on machine vision is established. The calibration plate is used to complete the size calibration. The image is collected by rotating the roller at a fixed angle, and the water level is corrected. A third-order gray moment subpixel detection algorithm based on improved Canny operator is proposed to locate the roller edge subpixel. Then the improved minimum zone circle (MZC) is used to evaluate the error and the non-contact and the non-contact online measurement of the roundness and cylindricity of bearing rollers is realized. The test results show that the average roundness error obtained by this method is 10.2 μm. The average cylindricity error is 13.5 μm. The measurement result and accuracy are 10 μm. Compared with the three-dimensional contour scanner, the detection accuracy is improved by 10%, and the measurement error is controlled at 12 μm. The sub-pixel precision obtained in this study can achieve high-precision measurement of roundness and cylindricity, which provides a reference for the following such issues.

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Research on evaluation method of stereo vision measurement system based on parameter-driven

Cited by 4 publications

References 26 publications

A density-controllable 3D measurement system based on linear profile sensor and universal manipulator

A density-controllable 3D measurement system based on linear profile sensor and universal manipulator

FLsM: Fuzzy Localization of Image Scenes Based on Large Models

Machine vision based roundness and cylindricity detection of bearing rollers

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