Camera parameters estimation from pose detections
| Autor: | E.A. Shalimova, E.V. Shalnov, A.S. Konushin |
|---|---|
| Jazyk: | English<br />Russian |
| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | Компьютерная оптика, Vol 44, Iss 3, Pp 385-392 (2020) |
| Druh dokumentu: | article |
| ISSN: | 2412-6179 0134-2452 |
| DOI: | 10.18287/2412-6179-CO-600 |
| Popis: | Some computer vision tasks become easier with known camera calibration. We propose a method for camera focal length, location and orientation estimation by observing human poses in the scene. Weak requirements to the observed scene make the method applicable to a wide range of scenarios. Our evaluation shows that even being trained only on synthetic dataset, the proposed method outperforms known solution. Our experiments show that using only human poses as the input also allows the proposed method to calibrate dynamic visual sensors. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|