SCIENTIFIC AND APPLIED FUNDAMENTALS OF BUILDING SUSTAINABLE AUGMENTED REALITY MARKERS
DOI:
https://doi.org/10.26906/SUNZ.2019.5.059Keywords:
marker, code, augmented reality, virtual reality, models, methods, requirements, robustness, identification, decodingAbstract
The subject matter of the article is augmented reality markers. The goal is the development of scientific and applied foundations for the construction of stable augmented reality markers based on a system of models and methods for the stable formation, detection and decoding of data, which ensures image restoration under external influences. The tasks are: analysis of the advantages and disadvantages of the existing augmented reality markers, the formulation of the basic requirements for the augmented reality marker, the study of a system of models and methods for the stable formation, detection and decoding of data, which ensures image restoration under external influences. 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. Five requirements are formulated that augmented reality markers must satisfy. A system of models and methods for the stable formation, detection and decoding of data is proposed, which ensures image restoration under external influences. Conclusions. The directions of further research are the development of a method for the formation of a stable marker of augmented reality; development of a method for identifying a stable mosaic stochastic marker of augmented reality; development of a decoding method for a mosaic stochastic augmented reality marker; development of a method for designing virtual objects on the plane of the augmented reality marker; development of information technology for using mosaic stochastic markers in augmented reality systems.Downloads
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