Application of Binocular Stereo Vision in Radioactive Source Image Reconstruction and Multimodal Imaging Fusion

Li, Y.; Cheng, Zhibiao; Yang, Cheng‐Hong; Wei, Mengfu; Wen, Junhai

doi:10.1109/tns.2020.3022103

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…The DIC combines the visual field with image measurement, utilizing the deformation distance of the target point to obtain displacement data of the image. Binocular stereo vision is a method that utilizes the principle of DIC to achieve three-dimensional displacement detection of images [15].…”

Section: Image 3d Displacement Detection Based On Binocular Stereo Vi...mentioning

confidence: 99%

DIC measurement method based on binocular stereo vision for image 3D displacement detection

Dong

2023

J. meas. eng.

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The deformation detection of large machinery is usually achieved using three-dimensional displacement measurement. Binocular stereo vision measurement technology, as a commonly used digital image correlation method, has received widespread attention in the academic community. Binocular stereo vision achieves the goal of three-dimensional displacement measurement by simulating the working mode of the human eyes, but the measurement is easily affected by light refraction. Based on this, the study introduces particle swarm optimization algorithm for target displacement measurement on Canon imaging dataset, and introduces backpropagation neural network for mutation processing of particles in particle swarm algorithm to generate fusion algorithm. It combines the four coordinate systems of world, pixel, physics, and camera to establish connections. Taking into account environmental factors and lens errors, the camera parameters and deformation coefficients were revised by shooting a black and white checkerboard. Finally, the study first conducted error analysis on binocular stereo vision technology in three dimensions, and the relative error remained stable at 1 % within about 60 seconds. At the same time, three algorithms, including the spotted hyena algorithm, were introduced to conduct performance comparison experiments using particle swarm optimization and backpropagation network algorithms. The experiment shows that the three-dimensional error of the fusion algorithm gradually stabilizes within the range of [–0.5 %, 0.5 %] over time, while the two-dimensional error generally hovers around 0 value. Its performance is significantly superior to other algorithms, so the binocular stereo vision of this fusion algorithm can achieve good measurement results.

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Section: Image 3d Displacement Detection Based On Binocular Stereo Vi...mentioning

confidence: 99%

DIC measurement method based on binocular stereo vision for image 3D displacement detection

Dong

2023

J. meas. eng.

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“…From the technological perspective, the common vision sensors for industrial robots mainly include single camera (Keenan et al , 2020), multi camera (Li et al , 2020), laser sensor (Wang et al , 2020) and RGB-D sensor (Alexiadis et al , 2018). Monocular cameras can only provide 2D information of the object.…”

Section: Introductionmentioning

confidence: 99%

A 6DOF pose measurement method for metal casts object based on stereo vision sensor

Wan,

Hu,

Liu

et al. 2024

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Purpose Presently, 6 Degree of Freedom (6DOF) visual pose measurement methods enjoy popularity in the industrial sector. However, challenges persist in accurately measuring the visual pose of blank and rough metal casts. Therefore, this paper introduces a 6DOF pose measurement method utilizing stereo vision, and aims to the 6DOF pose measurement of blank and rough metal casts. Design/methodology/approach This paper studies the 6DOF pose measurement of metal casts from three aspects: sample enhancement of industrial objects, optimization of detector and attention mechanism. Virtual reality technology is used for sample enhancement of metal casts, which solves the problem of large-scale sample sampling in industrial application. The method also includes a novel deep learning detector that uses multiple key points on the object surface as regression objects to detect industrial objects with rotation characteristics. By introducing a mixed paths attention module, the detection accuracy of the detector and the convergence speed of the training are improved. Findings The experimental results show that the proposed method has a better detection effect for metal casts with smaller size scaling and rotation characteristics. Originality/value A method for 6DOF pose measurement of industrial objects is proposed, which realizes the pose measurement and grasping of metal blanks and rough machined casts by industrial robots.

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A binocular stereo visual servo system for bird repellent in substations

Zhou

et al. 2023

Multimed Tools Appl

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Application of Binocular Stereo Vision in Radioactive Source Image Reconstruction and Multimodal Imaging Fusion

Cited by 5 publications

References 14 publications

DIC measurement method based on binocular stereo vision for image 3D displacement detection

DIC measurement method based on binocular stereo vision for image 3D displacement detection

A 6DOF pose measurement method for metal casts object based on stereo vision sensor

A binocular stereo visual servo system for bird repellent in substations

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