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Camera calibration based on hybrid differential evolution and crayfish optimization algorithm
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DOI：10.1016/j.optlaseng.2025.109088.png)
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Abstract
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• A novel hybrid algorithm called HDECOA is proposed for camera calibration. • HDECOA uses parallel and competitive design for improved calibration performance. • Calibration results are analyzed using K-means clustering and back-projection. • HDECOA achieves fast convergence, high accuracy, and robustness.
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