Local k-NNs pattern in omni-direction graph convolution neural network for 3D point clouds

Zhang, W., Su, S., Wang, B. et al. (2 more authors) (2020) Local k-NNs pattern in omni-direction graph convolution neural network for 3D point clouds. Neurocomputing, 413. pp. 487-498. ISSN 0925-2312

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2020 Elsevier. This is an author produced version of a paper subsequently published in Neurocomputing. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords: 3D point cloud; Spatial layout; Omni-Directional k-NNs pattern; Graph convolution neural network
Dates:
  • Published: 6 November 2020
  • Published (online): 16 July 2020
  • Accepted: 29 June 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
Engineering and Physical Science Research Council
EP/R026092/1
Depositing User: Symplectic Sheffield
Date Deposited: 19 Jan 2021 10:38
Last Modified: 16 Jul 2021 00:38
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: 10.1016/j.neucom.2020.06.095
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics