Deep Hierarchical Rotation Invariance Learning with Exact Geometry Feature Representation for Point Cloud Classification
Lin, Jianjie; Rickert, Markus; Knoll, Alois (2021): Deep Hierarchical Rotation Invariance Learning with Exact Geometry Feature Representation for Point Cloud Classification, in: 2021 IEEE International Conference on Robotics and Automation (ICRA), New York: IEEE, S. 9529–9535, doi: 10.1109/ICRA48506.2021.9561307.
Faculty/Chair:
Author:
 ;  ; 
Title of the compilation:
2021 IEEE International Conference on Robotics and Automation (ICRA)
ISSN:
2577-087X
1050-4729
Conference:
IEEE International Conference on Robotics and Automation (ICRA 2021) ; Xi'an, China
Publisher Information:
Year of publication:
2021
Pages:
ISBN:
978-1-7281-9077-8
978-1-7281-9078-5
Language:
English
DOI:
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Conferenceobject
URI:
Activation date:
September 28, 2023

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Permalink https://fis.uni-bamberg.de/handle/uniba/91034