Pointwise geometric and semantic learning network on 3D point clouds-Reference-Cited by-同舟云学术

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Pointwise geometric and semantic learning network on 3D point clouds

Published:2019-11-27 Issue:1 Volume:27 Page:57-75
ISSN:1069-2509
Container-title:Integrated Computer-Aided Engineering
language:
Short-container-title:ICA

Author:

Zhang Dejun¹,He Fazhi²,Tu Zhigang³,Zou Lu⁴,Chen Yilin²

Affiliation:

1. Faculty of Information Engineering, China University of Geosciences, Wuhan, Hubei, China

2. School of Computer Science, Wuhan University, Wuhan, Hubei, China

3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, China

4. School of Data Science, University of Science and Technology of China, Anhui, China

Publisher

IOS Press

Subject

Artificial Intelligence,Computational Theory and Mathematics,Computer Science Applications,Theoretical Computer Science,Software

Reference65 articles.

1. A scalable active framework for region annotation in 3d shape collections;Yi;ACM Transactions on Graphics (TOG).,2016

2. Quantitative optimization of interoperability during feature-based data exchange;Zhang;Integrated Computer-Aided Engineering.,2016

3. An efficient approach to directly compute the exact Hausdorff distance for 3D point sets;Zhang;Integrated Computer-Aided Engineering.,2017

4. Autonomous UAVs for structural health monitoring using deep learning and an ultrasonic beacon system with geo-tagging;Kang;Computer-Aided Civil and Infrastructure Engineering.,2018

5. Rafiei MH, Khushefati WH, Demirboga R, Adeli H. Supervised deep restricted boltzmann machine for estimation of concrete. ACI Materials Journal. 2017; 114(2).

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