IIEEJ Transactions on Image Electronics and Visual Computing
Online ISSN : 2188-1901
Print ISSN : 2188-1898
ISSN-L : 2188-191X
Contributed Paper -- Special Issue on Journal Track Papers in IEVC2021 Part II --
Robust Plane Detection in Terrestrial Laser Scanning Point Clouds using Efficient Multi-scale Sliding Voxels and Median Plane Weighted PCA
Jaime SANDOVALKazuma UENISHIMunetoshi IWAKIRIKiyoshi TANAKA
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2022 Volume 10 Issue 1 Pages 2-10

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Abstract

Planes are simple shapes often found in urban environments. Their detection is crucial for several applications of 3D point clouds. Efforts have focused on detecting planes in low-cost and lowrange scenarios. However, in Terrestrial Laser Scanning (TLS), the range is extended to a few hundred meters. This long-range adds huge variations in points’ density that complicates defining proper thresholds for conventional methods. Therefore, we propose to employ the sliding voxel plane detector over multiple voxel sizes to estimate hypothetical planes in a coarse-to-fine way, followed by a merging Non-Maximum Suppression to detect planes robustly. According to experimental results, the proposed method shows superior precision, efficiency, and scalability in TLS point clouds.

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© 2022 The Institute of Image Electronics Engineers of Japan
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