Research on 3D Pose Measurement Algorithm Based on Binocular Vision

Shan, Fu Qiang; Wang, Rui; Zhang, Hai

doi:10.1088/1742-6596/1792/1/012043

Cited by 2 publications

(2 citation statements)

References 2 publications

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“…In order to simplify the calculation we only selects the single panel for matching. Figure 5 (a) is the photovoltaic cell under normal conditions, namely the original image sample, and Figure 5 (b) (c)is the sample to be detected [21][22]. Figure 5 (c) is simulated samples covered by mud and bird droppings.…”

Section: Application Examplesmentioning

confidence: 99%

Image Recognition of Photovoltaic Cell Occlusion Based on Subpixel Matching

Jin,

Yu,

Yin

et al. 2024

EAI Endorsed Trans Energy Web

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INTRODUCTION: During the operation of large photovoltaic power stations, they are often shielded by dust and bird droppings, which greatly reduce the power generation and even cause fires. Analysis of PV cell occlusion image recognition accuracy based on sub-pixel matching. OBJECTIVES: In order to find the location of the pv cells, we use the method of subpixel image matching. Improve recognition accuracy. METHODS: When the power plant is running normally, taken the original image for photovoltaic power station as the original sample, and then using the subpixel gradient matching algorithm, to match the original image and find out that the minimum matching values. RESULTS: If the calculation results is greater than a specified threshold, When the calculated result is greater than the specified threshold, the power station is considered abnormal. CONCLUSION: The experimental process shows that this method can better judge the operating status of photovoltaic power station, and can find out the location of mismatched photovoltaic cells more accurately, and the calculation accuracy reaches sub-pixel level.

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Section: Application Examplesmentioning

confidence: 99%

Image Recognition of Photovoltaic Cell Occlusion Based on Subpixel Matching

Jin,

Yu,

Yin

et al. 2024

EAI Endorsed Trans Energy Web

View full text Add to dashboard Cite

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“…The current mainstream vision measurement method is mainly based on stereo vision. [6][7][8] The target is photographed with binocular or multi-camera cameras to obtain the parallax map of the target, carry out 3D modeling, and then measure the displacement of the moving target in combination with the real physical size of the target. 9 For example, Liu et al 10 proposed a nozzle displacement measurement method based on stereo vision.…”

Section: Introductionmentioning

confidence: 99%

Velocity measurement of moving target based on rotating mirror high speed camera

Wang,

Dong,

Cheng

et al. 2023

Opt. Eng.

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.A rotating mirror high-speed imaging system can capture and track moving targets, obtaining high-resolution images of targets and it is suitable for capturing high-speed moving targets. Therefore, we propose a target velocity measurement method based on a rotating mirror high-speed camera. Since this system is based on monocular camera capture, traditional binocular vision-based visual velocity measurement methods are no longer applicable. We reconstruct the homography matrix of the plane where the target is located, calculate the virtual difference map of the target’s feature points, and reconstruct the three-dimensional (3D) coordinates of the feature points on the moving target. Then, based on calibration data, the actual 3D coordinates of the target are calculated, and the target’s motion speed is calculated using the frame rate of the camera. This method achieves 3D reconstruction of feature points of moving targets solely based on a monocular perspective and is highly suitable for a rotating camera model, allowing for continuous measurement of the motion speed of the target and observation of speed variations, expanding the range of velocity observation for high-speed moving targets. The experiment shows that this method has the advantages of low requirements for the field, simple construction of experimental equipment, and high robustness. It can still measure the speed of the target with high accuracy under relatively simple conditions. The average relative error of displacement measurement experiment using this method is 2.03%, which shows the feasibility and accuracy of this method. We believe it has significant application value for measuring the speed of high-speed moving targets.

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Research on 3D Pose Measurement Algorithm Based on Binocular Vision

Cited by 2 publications

References 2 publications

Image Recognition of Photovoltaic Cell Occlusion Based on Subpixel Matching

Image Recognition of Photovoltaic Cell Occlusion Based on Subpixel Matching

Velocity measurement of moving target based on rotating mirror high speed camera

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