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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Vydáno v:	Signal processing. Image communication Ročník 57; s. 103 - 112
Hlavní autoři:	Han, Xian-Feng, Jin, Jesse S., Wang, Ming-Jie, Jiang, Wei, Gao, Lei, Xiao, Liping
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Amsterdam Elsevier B.V 01.09.2017 Elsevier BV
Témata:	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
On-line přístup:	Získat plný text
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