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Research on Point Cloud Registration Algorithm for Concealed Gap Profiles

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Point cloud preprocessing enhances registration accuracy in concealed gap inspection, suggesting improved quality control.

The proposed point cloud preprocessing scheme significantly enhances registration accuracy for concealed gaps.
The improved DBSCAN clustering algorithm effectively extracts contour curves for better fit.
The tangent point positioning algorithm achieves a remarkable accuracy of up to 0.03 mm.
Combining these methods results in a 99% registration success rate, greatly enhancing stability.

Lu et al. (2025) studied this question.

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