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All figures (10)
Figure 4: Representation topology predictors: Topology small surfaces (Left), evaluation topology nearby significantly large horizontal surfaces (Right).
Figure 7: Classification results Random Forests classifier: Recall (Left), Precision (Right). The percentage defined under the ’True Class’ is the amount of available test data.
Figure 3: Visualisation of class specific neighbours: Conventional nearest neighbours (a), significantly large nearby surfaces (b), significantly large horizontal surfaces above/below (c) and nearby small surfaces (d).
Figure 6: Example test data with ground truth: Laboratory (a), classroom (b), chemical plant (c), flat roof structure (d), heritage roof beam structure (e) and heritage room (f). Red=floors, purple=ceilings, blue=roofs, green=walls, yellow=beams and grey=clutter.
Figure 2: Pre-segmentation: Registered point cloud (Left) and the resulting planar patches (Right).
Figure 1: Example point clouds of structures used during testing: Chemical facility (a), house (b), multi-storey school building (c) and a church (d).
Table 2: Averaged classification results of Random Forests compared to K-Nearest Neighbours, multiceptron Neural Network, Linear Support Vectors Machines and Boosted Decision Trees.
Figure 5: Example test cases with reconstructed surfaces: House 4000 surfaces (a), Campus 30000 surfaces (b), Office 26000 surfaces (c), Row house 1800 surfaces (d), Multi-storey office 3000 surfaces (e), heritage site 10000 (f), church 6500 surfaces (g) and chemical plant 15000 surfaces(h).
Table 1: List of all features calculated for each observed patch
Figure 8: Several misclassification examples. Large closets, doors and machinery labelled as walls (a,c and d), unobstructed ceilings labelled as roofs (b), near vertical ceilings labelled as walls (e) and unobstructed ceilings labelled as floors (f).
Journal Article
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DOI
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Classification of sensor independent point cloud data of building objects using random forests
[...]
Maarten Bassier
1
,
Bjorn Van Genechten
,
Maarten Vergauwen
1
•
Institutions (1)
Katholieke Universiteit Leuven
1
01 Jan 2019
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Journal of building engineering