A SAM-Based Approach for Automatic Indoor Point Cloud Segmentation
Foundation models in computer vision, such as the Segment Anything Model (SAM), have demonstrated remarkable zero-shot performance in image segmentation. Leveraging these models for automated building segmentation can contribute to the efficiency of Scan-to-BIM workflows. Automatic 3D modelling has...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-07-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-G-2025/131/2025/isprs-archives-XLVIII-G-2025-131-2025.pdf |
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