A method for identifying mosaic stochastic augmented reality markers

Main Article Content

Oleksandr Makoveichuk
https://orcid.org/0000-0003-4425-016X

Abstract

The subject matter of the article is a method for identifying mosaic stochastic markers of augmented reality. The goal is to develop a method for identifying mosaic stochastic augmented reality markers. The tasks are: analysis of existing augmented reality markers, development of a method for identifying mosaic stochastic augmented reality markers, practical testing of the method for identifying mosaic stochastic augmented reality markers. The methods used are: methods of digital image processing, probability theory, mathematical statistics, cryptography and information protection, the mathematical apparatus of matrix theory. The following results are obtained. The advantages and disadvantages of the main existing types of markers of augmented reality are determined. The block diagram of the method for identifying mosaic stochastic markers of augmented reality is given. The stages of the method for identifying mosaic stochastic markers of augmented reality are considered. Conducted experimental studies to identify mosaic stochastic markers of augmented reality. Conclusions. For the first time, a method for identifying a mosaic stochastic augmented reality marker has been obtained, which, based on the binarization of local dispersion, detects the marker region in the original image and finds bit-container masks by segmenting and subsequent morphological filtering of the masked image region. The directions of further research are the development of a method for determining the parameters of projective transformation, which is necessary to align the image and determine the position of the camera; development of a decoding method for a mosaic stochastic marker of augmented reality.

Article Details

How to Cite
Makoveichuk, O. (2019). A method for identifying mosaic stochastic augmented reality markers. Advanced Information Systems, 3(4), 80–86. https://doi.org/10.20998/2522-9052.2019.4.12
Section
Intelligent information systems
Author Biography

Oleksandr Makoveichuk, Kharkiv National University of Radio Electronics, Kharkiv

Candidate of Technical Sciences, doctoral student of Electronic Computers Department

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