Paper
7 June 2023 Floor-plan generation from noisy point clouds
Xin Liu, Egor Bondarev, Peter H. N. de With
Author Affiliations +
Proceedings Volume 12701, Fifteenth International Conference on Machine Vision (ICMV 2022); 1270111 (2023) https://doi.org/10.1117/12.2679358
Event: Fifteenth International Conference on Machine Vision (ICMV 2022), 2022, Rome, Italy
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 F1 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.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin Liu, Egor Bondarev, and Peter H. N. de With "Floor-plan generation from noisy point clouds", Proc. SPIE 12701, Fifteenth International Conference on Machine Vision (ICMV 2022), 1270111 (7 June 2023); https://doi.org/10.1117/12.2679358
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KEYWORDS
Buildings

Point clouds

Semantics

3D modeling

Tunable filters

Principal component analysis

Stereoscopic cameras

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