Simultaneous material segmentation and 3D reconstruction in industrial scenarios

Zhao, C., Sun, L. orcid.org/0000-0002-0393-8665 and Stolkin, R. (2020) Simultaneous material segmentation and 3D reconstruction in industrial scenarios. Frontiers in Robotics and AI, 7. 52. ISSN 2296-9144

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Zhao, Sun and Stolkin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). (http://creativecommons.org/licenses/by/4.0/) The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Keywords: material segmentation; 3D material reconstruction; transfer learning; deep neural network; nuclear applications
Dates:
  • Accepted: 23 March 2020
  • Published (online): 22 May 2020
  • Published: May 2020
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
EU Horizon 2020645582
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCILEP/R026092/1
Depositing User: Symplectic Sheffield
Date Deposited: 29 May 2020 16:27
Last Modified: 29 May 2020 16:29
Status: Published
Publisher: Frontiers Media SA
Refereed: Yes
Identification Number: https://doi.org/10.3389/frobt.2020.00052

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