庄严

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教授

博士生导师

硕士生导师

主要任职:Vice Dean of School of Control Science and Engineering

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:控制科学与工程学院

学科:模式识别与智能系统. 控制理论与控制工程. 导航、制导与控制

办公地点:大连理工大学 创新园大厦 A611室

联系方式:办公电话:0411-84707581

电子邮箱:zhuang@dlut.edu.cn

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Comparison of 2D image models in segmentation performance for 3D laser point clouds

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论文类型:期刊论文

第一作者:Liu, Yisha

通讯作者:Liu, YS (reprint author), Dalian Maritime Univ, Informat Sci & Technol Coll, Dalian 116026, Peoples R China.

合写作者:Wang, Fei,Dobaie, Abdullah M.,He, Guojian,Zhuang, Yan

发表时间:2017-08-16

发表刊物:NEUROCOMPUTING

收录刊物:SCIE、EI、Scopus

卷号:251

页面范围:136-144

ISSN号:0925-2312

关键字:3D scene segmentation; 2D image model; Laser scanning; 3D point clouds

摘要:The selection of a suitable representing model for 3D laser point clouds plays a significant role in 3D outdoor scene understanding. In this paper, we compare the segmentation performance of four types of models which can transform 3D laser point clouds into 2D images. In these models, fast optimal bearing angle (FOBA) image is a novel 2D image model, which provides a general way to project 3D laser point clouds into 2D images. A series of segmentation performance tests and data analysis for these models are conducted in four datasets, which are acquired with different laser scanning modes. According to the experimental results, we argue that 2D image models greatly reduce the time cost of scene segmentation with a little loss of accuracy. Moreover, the usage of 2D image models is not limited in scene segmentation since robust features can be extracted from 2D image models to accomplish laser point classification and scene understanding. (C) 2017 Elsevier B.V. All rights reserved.