1. Lowe D. Object recognition from local scale invariant features. Proceedings of the 7th IEEE International Conference on Computer Vision (ICCV). Corfu, 1999, pp. 1150-1157.
2. Dalah N., Triggs B. Histograms of oriented gradients for human detection. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005). San Diego, 2005, vol. 1, pp. 886-893.
3. Bay H., Tuytelaars T., Van Gool L. SURF: speeded up robust features. Proceedings of the 9th European Conference on Computer Vision (ECCV). Austria, Graz, 2006, vol. 3951, pt. 1, pr. 404-417.
4. Rosten E., Drummond T. Faster and better: a machine learning approach to corner detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, vol. 32, no. 1, pp. 105-119.
5. Agrawal M., Konolige K., Blas M. R. CenSurE: center surround extremas for realtime feature detection and matching. Lecture Notes in Computer Science, 2008, vol. 5305, pp. 102-115.
6. Leutenegger S., Chli M., Siegwart R. Y. BRISK: binary robust invariant scalable keypoints. Proceedings of the 13th IEEE International Conference on Computer Vision (ICCV). Barcelona, 2011, pp. 2548-2555.
7. Alcantarilla P., Bartoli A., Davison J. KAZE features. Proceedings of the 12th European Conference on Computer Vision (ECCV). Firenze, 2012, pp. 214-227.
8. Alcantarilla P., Nuevo J., Bartoli A. Fast explicit diffusion for accelerated features in nonlinear scale spaces. Proceedings of the 24th British Machine Vision Conference (BMVC). Bristol, 2013, r. 11-21. https://doi.org/10.5244/C.27.13
9. Schmidt A., Kraft M., Fularz M., Domagała Z. Comparative assessment of point feature detectors and descriptors in the context of robot navigation. Journal of Automation, Mobile Robotics and Intelligent Systems, 2013, vol. 7, no. 1, pp. 11-20.
10. Levi G., Hassner T. Learned arrangements of three patch codes. IEEE Winter Conference on Applications of Computer Vision (WACV), NY, USA, March, 2016, r. 33-42. https://doi.org/10.1109/WACV.2016.7477723
11. Zalesskiy B. A. Detektoryi ekstremalnyih osobyih tochek na izobrazheniyah [Detectors of exteremal key points on images]. Dokladyi Natsionalnoy akademii nauk Belarusi [Reports of the National Academy of Sciences of Belarus], 2017, no. 5(61), pp. 37-41 (in Russian).
12. Sanders D., Kendrot E. Tehnologiya CUDA v primerah: vvedenie v programmirovanie graficheskih protsessorov. CUDA by Example: An Introduction to General-Purpose GPU Programming. Moscow, DMK Press Publ., 2013, 234 p. (in Russian).