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3D Point Cloud Analysis and Classification in Large-Scale Scene Based on Deep Learning

文献类型：期刊论文

作者Wang, Lei1,2,3; Meng, Weiliang4,5; Xi, Runping1,2; Zhang, Yanning1,2; Ma, Chengcheng4,5; Lu, Ling3; Zhang, Xiaopeng4,5
刊名IEEE ACCESS
出版日期2019
卷号7页码:55649-55658
关键词CNN feature description matrix geometric features point cloud
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2909742
通讯作者Wang, Lei(wlei598@163.com) ; Xi, Runping(xrp@163.com) ; Zhang, Yanning(ynzhangnpu@qq.com)
英文摘要We present a deep learning framework for efficient large-scale 3D point cloud analysis and classification using the designed feature description matrix (FDM). As the 3D points are unordered in the large-scale scene, and no topology structure can be employed directly for classification and recognition, it is difficult to apply deep neural network directly on 3D point clouds as points cannot be arranged in a fixed order as 2D image pixels. We design a new pipeline for 3D data processing by combining the traditional features extraction method and deep learning method. Our FDM encapsulates the 3D features of the point and can be used as the input of the deep neural network for training and testing. The experiments demonstrate that our method can acquire higher classification accuracy compared with our previous work and other state-of-art works.
WOS关键词MULTISCALE
资助项目National Natural Science Foundation of China[61561003] ; National Natural Science Foundation of China[61571439] ; National Natural Science Foundation of China[61572405] ; National Natural Science Foundation of China[61761003] ; National Natural Science Foundation of China[61571046] ; Beijing Natural Science Foundation[4184102] ; Beijing Natural Science Foundation[L182059]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000467988500001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China ; Beijing Natural Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/24206]  
专题模式识别国家重点实验室_三维可视计算
多模态人工智能系统全国重点实验室
通讯作者Wang, Lei; Xi, Runping; Zhang, Yanning
作者单位1.Northwestern Polytech Univ, Sch Comp Sci & Engn, Xian 710072, Shaanxi, Peoples R China
2.Natl Engn Lab Integrated Aerospace Ground Ocean B, Xian 710072, Shaanxi, Peoples R China
3.East China Univ Technol, Jiangxi Engn Lab Radioact Geosci & Big Data Techn, Nanchang 330013, Jiangxi, Peoples R China
4.CAS Inst Automat, LIAMA NLPR, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Lei,Meng, Weiliang,Xi, Runping,et al. 3D Point Cloud Analysis and Classification in Large-Scale Scene Based on Deep Learning[J]. IEEE ACCESS,2019,7:55649-55658.
APA Wang, Lei.,Meng, Weiliang.,Xi, Runping.,Zhang, Yanning.,Ma, Chengcheng.,...&Zhang, Xiaopeng.(2019).3D Point Cloud Analysis and Classification in Large-Scale Scene Based on Deep Learning.IEEE ACCESS,7,55649-55658.
MLA Wang, Lei,et al."3D Point Cloud Analysis and Classification in Large-Scale Scene Based on Deep Learning".IEEE ACCESS 7(2019):55649-55658.

入库方式： OAI收割

来源：自动化研究所

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