USACv20: robust essential, fundamental and homography matrix estimation
Ivashechkin, M and Baráth, Dániel and Matas, J (2020) USACv20: robust essential, fundamental and homography matrix estimation. In: Proceedings of the 25th Computer Vision Winter Workshop Conference. SDRV, Ljubljana, pp. 46-54. ISBN 9789619090190
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 | Text Ivashechkin_46_32576417_ny.pdf Download (11MB) | Preview | 
| Item Type: | Book Section | 
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| Subjects: | Q Science > QA Mathematics and Computer Science > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány | 
| Divisions: | Machine Perception Research Laboratory | 
| SWORD Depositor: | MTMT Injector | 
| Depositing User: | MTMT Injector | 
| Date Deposited: | 07 Jan 2022 08:39 | 
| Last Modified: | 11 Sep 2023 15:17 | 
| URI: | https://eprints.sztaki.hu/id/eprint/10224 | 
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