Record link: 
http://hdl.handle.net/20.500.12708/150300
-
Title: 
PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives
en
Citation: 
Kriegler, A., Beleznai, C., Murschitz, M., Gobel, K., & Gelautz, M. (2022). PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives. In 2022 Sixth IEEE International Conference on Robotic Computing (IRC) (pp. 190–197). https://doi.org/10.1109/IRC55401.2022.00040
-
Publisher DOI: 
10.1109/IRC55401.2022.00040
-
Publication Type: 
Inproceedings - Full-Paper Contribution
en
Language: 
English
-
Authors: 
Kriegler, Andreas 
Beleznai, Csaba 
Murschitz, Markus 
Gobel, Kai 
Gelautz, Margrit 
-
Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
-
Published in: 
2022 Sixth IEEE International Conference on Robotic Computing (IRC) 
-
ISBN: 
978-1-6654-7260-9
-
Date (published): 
2022
-
Event name: 
2022 Sixth IEEE International Conference on Robotic Computing (IRC) 
en
Event date: 
5-Dec-2022 - 7-Dec-2022
-
Event place: 
Neapel, Italy
-
Number of Pages: 
8
-
Keywords: 
3D bounding box prediction; Unseen objects; Synthetic data; Geometric primitive; Object pose annotation
en
Research Areas: 
Visual Computing and Human-Centered Technology: 100%
-
Science Branch: 
1020 - Informatik: 90%
1010 - Mathematik: 10%
-
Appears in Collections:
Conference Paper

Show full item record

Page view(s)

241
checked on Nov 23, 2023

Download(s)

9
checked on Nov 23, 2023

Google ScholarTM

Check