计算机工程2018，Vol.44Issue(3)：281-286,6.DOI:10.3969/j.issn.1000-3428.2018.03.047
一种融合多特征聚类集成的室内点云分割方法
An Indoor Point Cloud Segmentation Method Fusing with Multi-feature Cluster Ensemble
摘要
Abstract
Aiming at the problem that the traditional point cloud segmentation algorithm is not precise and feature description is not comprehensive in specific scenes,an Affinity Propagation (AP) clustering ensemble segmentation method fusing with 2D and 3D features is proposed.Firstly,a set of descriptors representing different cloud types of complex indoor scenes,such as colour image features,curvature,normal vectors,rotating images,are obtained from point clouds.Secondly,according to the difference between them,the clustering members are obtained by AP clustering for each class of features,and the cluster consensus matrix is established.Finally,the final segmentation result is obtained by using Ncut algorithm.Experimental results show that the proposed method is better than traditional point cloud segmentation algorithm in distinguishing indoor 3D point cloud scene,and has better stability.关键词
点云分割/特征融合/近邻传播聚类算法/聚类成员/聚类集成Key words
point cloud segmentation/feature fusion/Affinity Propagation (AP) clustering algorithm/clustering member: clustering ensemble分类
信息技术与安全科学引用本文复制引用
曾碧,黄文..一种融合多特征聚类集成的室内点云分割方法[J].计算机工程,2018,44(3):281-286,6.基金项目
广东省产学研合作专项(2014B090904080) （2014B090904080）
广东省科技发展重大专项(2016B010108004) （2016B010108004）
广州市重点科技项目(201604020016). （201604020016）
