A SAM-Based Approach for Automatic Indoor Point Cloud Segmentation

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The proposed SAM-based method effectively segments building components, enhancing automation in modeling.
Experiments with three case studies showed the approach performs well without any pretraining process.
Room segmentation involves defining boundaries followed by horizontal projection, yielding efficient results.
Door and window segmentation begins with plane projections, demonstrating the adaptability of the method.

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This approach utilizes SAM for effective point cloud segmentation, indicating a potential boost for Scan-to-BIM workflows.

Albadri et al. (2025) studied this question.

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