|
|
|
|
References
|
|
| |
| 1. |
V. A. Pavlova, S. N. Kryukov, R. K. Karkayeva, M. V. Sozinova, “Automatic Target Recognition (ATR) of Ground Based and Sea Objects”, Izvestiya YuFU. Tekhnicheskiye nauki, 2010, no. 3, 73–77 (in Russian)  |
| 2. |
K. S. Amelin, “A Method for Ultralight UAV Orientation with Rare Updates of its Location Data”, Stokhasticheskaya optimizatsiya v informatike, 10:2 (2010), 3–14 (in Russian) |
| 3. |
M. Hirzer, Marker Detection for Augmented Reality Applications, Technical Report ICG-TR-08/05, Inst. for Computer Graphics and Vision, Graz University of Technology, Graz, Austria, 2008, 27 pp. http://studierstube.icg.tugraz.at/thesis/marker_detection.pdf |
| 4. |
N. Arshad, K.-S. Moon, S.-S. Park, J.-N. Kim, “Lane Detection with Moving Vehicles Using Color Information”, Proceedings of the World Congress on Engineering and Computer Science, WCECS 2011 (San Francisco, USA, October 19–21, 2011), v. 1, 2011, 499–502 http://www.iaeng.org/publication/WCECS2011/WCECS2011_pp499-502.pdf |
| 5. |
N. N. Krasil'nikov, 2D- and 3D-Digital Image Processing, Ucheb. posobiye, BKhV-Peterburg, SPb., 2011, 608 pp. (in Russian) |
| 6. |
K. S. Markelov, “A Model for Improving an Image Quality by Using a Method of Image Super-Resolution”, Inzhenernyy vestnik, 2013, no. 3, 525–542 (in Russian) |
| 7. |
Y. Le Cun, T. Bengio, “Convolutional Networks for Images, Speech, and Time Series”, The Handbook of Brain Theory and Neural Networks, second ed., ed. M. A. Arbib, MIT Press, Cambridge, 2002, 276–279 |
| 8. |
A. Kondratyev, I. Tishchenko, “Concept of Distributed Processing System of Images Flow in Terms of $\pi$-Calculus”, 18th Conference of Open Innovations Association and Seminar on Information Security and Protection of Information Technology (FRUCT-ISPIT 2016) (ITMO University, Saint Petersburg, Russia, 18–22 April, 2016), 131–137 |
