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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Robust reconstruction of interior building structures with multiple rooms under clutter and occlusions |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | No |
| Status | Published in final form |
| Language |
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| Page Range | 52 - 59 |
| Event Title | 2013 International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics) |
| Event Type | conference |
| Event Location | Hong Kong |
| Event Start Date | November 16 - 2013 |
| Event End Date | November 18 - 2013 |
| Publisher | IEEE |
| Abstract Text | We present a robust approach for reconstructing the architectural structure of complex indoor environments given a set of cluttered input scans. Our method first uses an efficient occlusion-aware process to extract planar patches as candidate walls, separating them from clutter and coping with missing data. Using a diffusion process to further increase its robustness, our algorithm is able to reconstruct a clean architectural model from the candidate walls. To our knowledge, this is the first indoor reconstruction method which goes beyond a binary classification and automatically recognizes different rooms as separate components. We demonstrate the validity of our approach by testing it on both synthetic models and real-world 3D scans of indoor environments. |
| Digital Object Identifier | 10.1109/CADGraphics.2013.14 |
| Other Identification Number | merlin-id:8897 |
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