Abstract
This paper proposes a growing-based floor-plan generation method that creates the global layout of buildings from noisy point clouds obtained by a stereo camera. We introduce a PCA-based line-growing concept with a subsequent filtering step, which is able to robustly handle the high noise levels in input point clouds. Experimental results show that this method outperforms the state-of-the-art techniques in floor-plan generation. The average score for building layouts has increased from 0.38 to 0.66 on our test dataset, compared to the previous best floor-plan generation method. Furthermore, the resulting floor plans are multiple thousands of times smaller in memory size than the input point clouds, while still preserving the main building structures.
Original language | English |
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Title of host publication | Fifteenth International Conference on Machine Vision (ICMV 2022) |
Editors | Wolfgang Osten, Dmitry Nikolaev, Jianhong Zhou |
Publisher | SPIE |
Number of pages | 10 |
ISBN (Electronic) | 9781510666191 |
ISBN (Print) | 9781510666184 |
DOIs | |
Publication status | Published - 7 Jun 2023 |
Event | 15th International Conference on Machine Vision, ICMV 2022 - Rome, Italy Duration: 18 Nov 2022 → 20 Nov 2022 Conference number: 15 http://icmv.org/ |
Publication series
Name | Proceedings of SPIE |
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Volume | 12701 |
ISSN (Print) | 0277-786X |
ISSN (Electronic) | 1996-756X |
Conference
Conference | 15th International Conference on Machine Vision, ICMV 2022 |
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Abbreviated title | ICMV 2022 |
Country/Territory | Italy |
City | Rome |
Period | 18/11/22 → 20/11/22 |
Internet address |
Keywords
- Floor-plan generation
- indoor stereo SLAM
- noisy point cloud filtering