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论文类型：期刊论文

发表时间：2017-10-01

发表刊物：JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

收录刊物：SCIE、EI、Scopus

卷号：48

页面范围：136-148

ISSN号：1047-3203

关键字：3D point clouds; Boundary points; Scale space; Scale invariant; 3D point feature

摘要：In this paper, we propose a method for encoding scale invariant 3D point features. We extract a set of boundary points from a point cloud. Next, we apply the scale-space concept on the boundary points to detect the scale invariant point border. We confirm three orthometric axes as the local reference frames. Three distribution matrices are generated by implementing the strategy of SPIN image method, and one row-vector of descriptors are finally calculated. Experimental results on simulated and real scene point clouds demonstrate that the scale-invariant features of 3D point clouds can be effectively encoded by our method. (C) 2017 Published by Elsevier Inc.