RPSRNet: End-to-End Trainable Rigid Point Set Registration Network using Barnes-Hut 2<sup>D</sup>-Tree Representation
| Author: | Sk Aziz Ali, Kerem Kahraman, Gerd Reis, Didier Stricker |
|---|---|
| URL: | https://ieeexplore.ieee.org/document/9577616 |
| DOI: | https://doi.org/10.1109/CVPR46437.2021.01290 |
| ISBN: | 978-1-6654-4509-2 |
| ISBN: | 978-1-6654-4510-8 |
| ISSN: | 2575-7075 |
| Parent Title (English): | 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) |
| Publisher: | IEEE |
| Place of publication: | Piscataway, NJ |
| Document Type: | Conference Proceeding |
| Language: | English |
| Publication year: | 2021 |
| Year of first Publication: | 2021 |
| Release Date: | 2024/10/17 |
| Volume: | 41 |
| Page Number: | 11 |
| First Page: | 13095 |
| Last Page: | 13105 |
| Faculties / Organisational entities: | RPTU in Kaiserslautern / Fachbereich Informatik / AG Augmented Vision |
| Open access state: | Closed Access |
| RPTU: | Kaiserslautern |
| Created at the RPTU: | Yes |