标题:A 3D Point Cloud Filtering Algorithm based on Surface Variation Factor Classification    (Open Access)
作者:Jia, Chao Chuan ;Wang, Chuan Jiang ;Yang, Ting ;Fan, Bing Hui ;He, Fu Gui
通讯作者:Fan, Bing Hui
作者机构:[Jia, Chao Chuan ;Wang, Chuan Jiang ;Fan, Bing Hui ] College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, 更多
会议名称:9th International Conference of Information and Communication Technology, ICICT 2019
会议日期:January 11, 2019 - January 13, 2019
来源:Procedia Computer Science
出版年:2018
卷:154
页码:54-61
DOI:10.1016/j.procs.2019.06.010
摘要:In order to effectively smooth the noise in 3D point cloud without losing the detailed features of the model, a new filtering algorithm based on surface variation factor segmentation is proposed. The method adopts different filtering algorithms on different feature regions of the model. Firstly, the normal vectors of a point cloud model are estimated by using weighted principal component analysis (PCA) method, and the surface variation factor of each point is estimated. Secondly, the point cloud model is divided into flat regions and mutant regions by comparing the surface variation factor of the sampling point with the average surface variant factor of the sampling point k-neighborhood. Finally, the improved median filtering algorithm is applied to flat regions, and improved bilateral filtering algorithm is applied to mutant regions. Experimental results show that it has a preferable smoothing effect and reserves the detail features of point cloud.
© 2019 The Authors. Published by Elsevier Ltd.
收录类别:EI
资源类型:会议论文
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