KEYWORDS: Reconstruction algorithms, Cameras, Visualization, 3D acquisition, 3D modeling, 3D image processing, 3D image reconstruction, Point clouds, Feature extraction, Data modeling
In order to accurately measure the pose of cross-scale wiring target, a method for measuring the pose of cross-scale wiring target based on field of view space reconstruction algorithm and resolution coupling is proposed. Construct the pose measurement model of cross-scale wiring target, calculate the three-dimensional rotation coefficient under different coordinate axes, and extract the pose measurement characteristics of cross-scale wiring target according to the coefficient; Under the coupling of the field of view space reconstruction algorithm and resolution, the velocity recurrence relationship between internal and external parameters is obtained, and the position of three-dimensional point cloud is calculated, and the position and attitude measurement results of cross-scale wiring target are obtained, and realize the field of view space reconstruction algorithm and the position and attitude measurement of scale wiring target under resolution coupling. The experimental results show that there is no deviation between the measured trajectory and the expected trajectory under the proposed method, and the measurement error is obviously low, which can obtain better measurement results of cross-scale wiring target pose.
KEYWORDS: Optical character recognition, Image enhancement, Data acquisition, Transformers, Feature extraction, Power supplies, Image processing, Data conversion, Color tone, Target recognition
Due to the low accuracy and poor recognition performance of traditional methods in end-to-end OCR text recognition of power equipment nameplates, an end-to-end OCR text recognition method for power equipment nameplates based on image enhancement and template matching is proposed. Calculate the similarity of end-to-end OCR text data collection on power equipment nameplates and extract end-to-end OCR text features on power equipment nameplates; Based on actual node deployment requirements and standards, combined with image enhancement and template matching technology, OCR text feature recognition nodes are deployed to achieve end-to-end OCR text recognition on power equipment nameplates. The experimental results show that the proposed method has a maximum recognition accuracy of 99.67%. The difference between the recognition results and the actual situation is small.
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