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AutoSynPose: Automatic Generation of Synthetic Datasets for 6D Object Pose Estimation

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Metadaten
Author:Heiko Engemann, Shengzhi Du, Stephan Kallweit, Chuanfang Ning, Saqib Anwar
DOI:https://doi.org/10.3233/FAIA200770
ISBN:978-1-64368-137-5
Parent Title (English):Machine Learning and Artificial Intelligence. Proceedings of MLIS 2020
Publisher:IOS Press
Place of publication:Amsterdam
Document Type:Part of a Book
Language:English
Year of Completion:2020
Date of the Publication (Server):2021/01/25
First Page:89
Last Page:97
Note:
Frontiers in Artificial Intelligence and Applications. Vol 332
Link:https://doi.org/10.3233/FAIA200770
Zugriffsart:open access
Institutes:FH Aachen / Fachbereich Maschinenbau und Mechatronik
FH Aachen / MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik
FH Aachen / IaAM - Institut für angewandte Automation und Mechatronik
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell