A review of algorithms for filtering the 3D point cloud

In recent years, 3D point cloud has gained increasing attention as a new representation for objects. However, the raw point cloud is often noisy and contains outliers. Therefore, it is crucial to remove the noise and outliers from the point cloud while preserving the features, in particular, its fin...

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Veröffentlicht in:	Signal processing. Image communication Jg. 57; S. 103 - 112
Hauptverfasser:	Han, Xian-Feng, Jin, Jesse S., Wang, Ming-Jie, Jiang, Wei, Gao, Lei, Xiao, Liping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.09.2017 Elsevier BV
Schlagworte:	3-D technology 3D point cloud Algorithms Computing time Feature-preserving Filtering methods Filtration Noise reduction Outliers (statistics) Robustness (mathematics) Studies 3D point cloud Noise reduction Filtering methods Feature-preserving
ISSN:	0923-5965, 1879-2677
Online-Zugang:	Volltext
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