A review of algorithms for filtering the 3D point cloud
作者：
Highlights：
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• To the best of our knowledge, this is the first review paper in the literature that focuses on the filtering algorithms for 3D point cloud at present.
• A comprehensive review of the state-of-the-art filtering methods for 3D point clouds is summarized.
• Experiments concerning on performance comparison of several widely used approaches are carried out.
摘要
•To the best of our knowledge, this is the first review paper in the literature that focuses on the filtering algorithms for 3D point cloud at present.•A comprehensive review of the state-of-the-art filtering methods for 3D point clouds is summarized.•Experiments concerning on performance comparison of several widely used approaches are carried out.
论文关键词：3D point cloud,Filtering methods,Feature-preserving,Noise reduction
论文评审过程：Received 22 November 2016, Revised 28 February 2017, Accepted 15 May 2017, Available online 22 May 2017, Version of Record 3 June 2017.
论文官网地址：https://doi.org/10.1016/j.image.2017.05.009
