Main Article Content
Augmented reality or AR technology (2019), available at: http://thefuture.news/lessons/ua/ar
Goldman, S. (2019), Global Investment Research, available at:
Adobe Blog (2019), The 10 VR Trends We’ll See in 2018, 2019, available at:
Facebook Research. AR/VR-Facebook Research (2019), available at:
Siltanen, S. (2012), Theory and applications of marker-based augmented reality, Espoo 2012, 198 p.
Lowe, David G. (1999), “Object recognition from local scale-invariant features”, Proceedings of the International Conference on Computer Vision 2, pp. 1150–1157.
Bruckstein, A.M., Holt, R.J. and Netravali, A.N. (2000), “Holographic representation of images”, IEEE Transactions on Im-age Processing, No. 7, pp. 1583–1587.
Bruckstein, A.M., Holt, R.J. and Netravali, A.N. (1997), Holographic image representations: the subsampling method, IEEE Int. Conference on Image Processing, Santa Barbara, California, USA, October, Vol. 1, pp. 177–180.
Bruckstein, A.M., Holt, R.J. and Netravali, A.N. (2000), US 6,091,394: "Technique for Holographic Representation of Imag-es". July 18, 6 p.
Barinova, D.A. (2005), Development and research of digital image processing algorithms represented in pseudo-holographic codes, Computer Optics, No. 27, pp. 149–154.
Voronin, V.V. (2000), “Holographic representation in image processing problems”, Abstracts of the ROAI conference, 5, pp. 237–241.
Mathworks. Select a Web Site (2019), available at: https://www.mathworks.com/help/images/ref/stdfilt.html
Hartley, R. and Zisserman, S. (2003), Multiple View Geometry in Computer Vision, Cambridge University Press New York, NY, USA, 655 p.
Forsyth, A.D. and Pons, J. (2004), Computer Vision. Modern Campaign, Williams Publishing House, Moscow, 928 p.
Reed–Solomon codes for coders (2019), available at:
Makoveychuk, O.M., Ruban, I.V. and Khudov G.V. (2019), “Using Genetic Algorithms for Finding Inverse Pseudo-Random Block Rearrangements”, Control, Navigation and Communication Systems, No. 4 (56), pp. 72¬81.