A review of algorithms for filtering the 3D point cloud

• Published in: Signal processing. Image communication Vol. 57; pp. 103 - 112
• Main Authors: Han, Xian-Feng, Jin, Jesse S., Wang, Ming-Jie, Jiang, Wei, Gao, Lei, Xiao, Liping
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.09.2017; Elsevier BV
• Subjects: 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

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...