Weld-Line Extraction Method Using Grid-based Curved Surface Recognition for 3D Point Cloud

Se Yeon Gong; Eun-Jin Han; Sang-Woo Kim; Jongpil Kim; Ki-Youn Kwon

doi:10.3795/ksme-a.2026.50.8.673

August 13, 2026Transactions of the Korean Society of Mechanical Engineers A

Weld-Line Extraction Method Using Grid-based Curved Surface Recognition for 3D Point Cloud

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Key Points

To develop an automated method for extracting precise weld lines from 3D point cloud data of curved mechanical and ship structures, accounting for real manufacturing errors without requiring CAD models.
Partitioned 3D point cloud data into 3D spatial grids and performed iterative plane fitting with outlier removal to extract robust plane candidates.
Merged adjacent grids into continuous curved surfaces by evaluating normal vector angular deviations and vertical distance criteria.
Identified outer and contact boundary grids, projected point data onto intersection lines between adjacent boundary pairs, and connected average points to generate continuous weld lines.
Achieved robust surface segmentation and continuous curved surface generation despite measurement noise, high data volume, and missing point regions.
Successfully extracted accurate weld-line trajectories by determining contact boundaries and averaging projection points across intersecting adjacent surfaces.

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Implication

Computational study demonstrates automated weld-line extraction in curved ship structures using 3D point clouds, highlighting improved adaptation to real-world manufacturing errors.

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Gong et al. (2026) studied this question.

synapsesocial.com/papers/6a80199875c2e31742c85904 https://doi.org/10.3795/ksme-a.2026.50.8.673

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Weld-Line Extraction Method Using Grid-based Curved Surface Recognition for 3D Point Cloud

Key Points

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Weld-Line Extraction Method Using Grid-based Curved Surface Recognition for 3D Point Cloud

Key Points

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